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Commit bb16d5ca authored by Kaushik Shivakumar's avatar Kaushik Shivakumar
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add protos

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research/object_detection/protos/anchor_generator_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/anchor_generator.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from object_detection.protos import flexible_grid_anchor_generator_pb2 as object__detection_dot_protos_dot_flexible__grid__anchor__generator__pb2
from object_detection.protos import grid_anchor_generator_pb2 as object__detection_dot_protos_dot_grid__anchor__generator__pb2
from object_detection.protos import multiscale_anchor_generator_pb2 as object__detection_dot_protos_dot_multiscale__anchor__generator__pb2
from object_detection.protos import ssd_anchor_generator_pb2 as object__detection_dot_protos_dot_ssd__anchor__generator__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/anchor_generator.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n.object_detection/protos/anchor_generator.proto\x12\x17object_detection.protos\x1a<object_detection/protos/flexible_grid_anchor_generator.proto\x1a\x33object_detection/protos/grid_anchor_generator.proto\x1a\x39object_detection/protos/multiscale_anchor_generator.proto\x1a\x32object_detection/protos/ssd_anchor_generator.proto\"\x82\x03\n\x0f\x41nchorGenerator\x12M\n\x15grid_anchor_generator\x18\x01 \x01(\x0b\x32,.object_detection.protos.GridAnchorGeneratorH\x00\x12K\n\x14ssd_anchor_generator\x18\x02 \x01(\x0b\x32+.object_detection.protos.SsdAnchorGeneratorH\x00\x12Y\n\x1bmultiscale_anchor_generator\x18\x03 \x01(\x0b\x32\x32.object_detection.protos.MultiscaleAnchorGeneratorH\x00\x12^\n\x1e\x66lexible_grid_anchor_generator\x18\x04 \x01(\x0b\x32\x34.object_detection.protos.FlexibleGridAnchorGeneratorH\x00\x42\x18\n\x16\x61nchor_generator_oneof')
,
dependencies=[object__detection_dot_protos_dot_flexible__grid__anchor__generator__pb2.DESCRIPTOR,object__detection_dot_protos_dot_grid__anchor__generator__pb2.DESCRIPTOR,object__detection_dot_protos_dot_multiscale__anchor__generator__pb2.DESCRIPTOR,object__detection_dot_protos_dot_ssd__anchor__generator__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_ANCHORGENERATOR = _descriptor.Descriptor(
name='AnchorGenerator',
full_name='object_detection.protos.AnchorGenerator',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='grid_anchor_generator', full_name='object_detection.protos.AnchorGenerator.grid_anchor_generator', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='ssd_anchor_generator', full_name='object_detection.protos.AnchorGenerator.ssd_anchor_generator', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='multiscale_anchor_generator', full_name='object_detection.protos.AnchorGenerator.multiscale_anchor_generator', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='flexible_grid_anchor_generator', full_name='object_detection.protos.AnchorGenerator.flexible_grid_anchor_generator', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='anchor_generator_oneof', full_name='object_detection.protos.AnchorGenerator.anchor_generator_oneof',
index=0, containing_type=None, fields=[]),
],
serialized_start=302,
serialized_end=688,
)
_ANCHORGENERATOR.fields_by_name['grid_anchor_generator'].message_type = object__detection_dot_protos_dot_grid__anchor__generator__pb2._GRIDANCHORGENERATOR
_ANCHORGENERATOR.fields_by_name['ssd_anchor_generator'].message_type = object__detection_dot_protos_dot_ssd__anchor__generator__pb2._SSDANCHORGENERATOR
_ANCHORGENERATOR.fields_by_name['multiscale_anchor_generator'].message_type = object__detection_dot_protos_dot_multiscale__anchor__generator__pb2._MULTISCALEANCHORGENERATOR
_ANCHORGENERATOR.fields_by_name['flexible_grid_anchor_generator'].message_type = object__detection_dot_protos_dot_flexible__grid__anchor__generator__pb2._FLEXIBLEGRIDANCHORGENERATOR
_ANCHORGENERATOR.oneofs_by_name['anchor_generator_oneof'].fields.append(
_ANCHORGENERATOR.fields_by_name['grid_anchor_generator'])
_ANCHORGENERATOR.fields_by_name['grid_anchor_generator'].containing_oneof = _ANCHORGENERATOR.oneofs_by_name['anchor_generator_oneof']
_ANCHORGENERATOR.oneofs_by_name['anchor_generator_oneof'].fields.append(
_ANCHORGENERATOR.fields_by_name['ssd_anchor_generator'])
_ANCHORGENERATOR.fields_by_name['ssd_anchor_generator'].containing_oneof = _ANCHORGENERATOR.oneofs_by_name['anchor_generator_oneof']
_ANCHORGENERATOR.oneofs_by_name['anchor_generator_oneof'].fields.append(
_ANCHORGENERATOR.fields_by_name['multiscale_anchor_generator'])
_ANCHORGENERATOR.fields_by_name['multiscale_anchor_generator'].containing_oneof = _ANCHORGENERATOR.oneofs_by_name['anchor_generator_oneof']
_ANCHORGENERATOR.oneofs_by_name['anchor_generator_oneof'].fields.append(
_ANCHORGENERATOR.fields_by_name['flexible_grid_anchor_generator'])
_ANCHORGENERATOR.fields_by_name['flexible_grid_anchor_generator'].containing_oneof = _ANCHORGENERATOR.oneofs_by_name['anchor_generator_oneof']
DESCRIPTOR.message_types_by_name['AnchorGenerator'] = _ANCHORGENERATOR
AnchorGenerator = _reflection.GeneratedProtocolMessageType('AnchorGenerator', (_message.Message,), dict(
DESCRIPTOR = _ANCHORGENERATOR,
__module__ = 'object_detection.protos.anchor_generator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.AnchorGenerator)
))
_sym_db.RegisterMessage(AnchorGenerator)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/argmax_matcher_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/argmax_matcher.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/argmax_matcher.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n,object_detection/protos/argmax_matcher.proto\x12\x17object_detection.protos\"\xec\x01\n\rArgMaxMatcher\x12\x1e\n\x11matched_threshold\x18\x01 \x01(\x02:\x03\x30.5\x12 \n\x13unmatched_threshold\x18\x02 \x01(\x02:\x03\x30.5\x12 \n\x11ignore_thresholds\x18\x03 \x01(\x08:\x05\x66\x61lse\x12,\n\x1enegatives_lower_than_unmatched\x18\x04 \x01(\x08:\x04true\x12\'\n\x18\x66orce_match_for_each_row\x18\x05 \x01(\x08:\x05\x66\x61lse\x12 \n\x11use_matmul_gather\x18\x06 \x01(\x08:\x05\x66\x61lse')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_ARGMAXMATCHER = _descriptor.Descriptor(
name='ArgMaxMatcher',
full_name='object_detection.protos.ArgMaxMatcher',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='matched_threshold', full_name='object_detection.protos.ArgMaxMatcher.matched_threshold', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='unmatched_threshold', full_name='object_detection.protos.ArgMaxMatcher.unmatched_threshold', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='ignore_thresholds', full_name='object_detection.protos.ArgMaxMatcher.ignore_thresholds', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='negatives_lower_than_unmatched', full_name='object_detection.protos.ArgMaxMatcher.negatives_lower_than_unmatched', index=3,
number=4, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='force_match_for_each_row', full_name='object_detection.protos.ArgMaxMatcher.force_match_for_each_row', index=4,
number=5, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_matmul_gather', full_name='object_detection.protos.ArgMaxMatcher.use_matmul_gather', index=5,
number=6, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=74,
serialized_end=310,
)
DESCRIPTOR.message_types_by_name['ArgMaxMatcher'] = _ARGMAXMATCHER
ArgMaxMatcher = _reflection.GeneratedProtocolMessageType('ArgMaxMatcher', (_message.Message,), dict(
DESCRIPTOR = _ARGMAXMATCHER,
__module__ = 'object_detection.protos.argmax_matcher_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ArgMaxMatcher)
))
_sym_db.RegisterMessage(ArgMaxMatcher)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/bipartite_matcher_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/bipartite_matcher.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/bipartite_matcher.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n/object_detection/protos/bipartite_matcher.proto\x12\x17object_detection.protos\"4\n\x10\x42ipartiteMatcher\x12 \n\x11use_matmul_gather\x18\x06 \x01(\x08:\x05\x66\x61lse')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_BIPARTITEMATCHER = _descriptor.Descriptor(
name='BipartiteMatcher',
full_name='object_detection.protos.BipartiteMatcher',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='use_matmul_gather', full_name='object_detection.protos.BipartiteMatcher.use_matmul_gather', index=0,
number=6, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=76,
serialized_end=128,
)
DESCRIPTOR.message_types_by_name['BipartiteMatcher'] = _BIPARTITEMATCHER
BipartiteMatcher = _reflection.GeneratedProtocolMessageType('BipartiteMatcher', (_message.Message,), dict(
DESCRIPTOR = _BIPARTITEMATCHER,
__module__ = 'object_detection.protos.bipartite_matcher_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.BipartiteMatcher)
))
_sym_db.RegisterMessage(BipartiteMatcher)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/box_coder_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/box_coder.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from object_detection.protos import faster_rcnn_box_coder_pb2 as object__detection_dot_protos_dot_faster__rcnn__box__coder__pb2
from object_detection.protos import keypoint_box_coder_pb2 as object__detection_dot_protos_dot_keypoint__box__coder__pb2
from object_detection.protos import mean_stddev_box_coder_pb2 as object__detection_dot_protos_dot_mean__stddev__box__coder__pb2
from object_detection.protos import square_box_coder_pb2 as object__detection_dot_protos_dot_square__box__coder__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/box_coder.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n\'object_detection/protos/box_coder.proto\x12\x17object_detection.protos\x1a\x33object_detection/protos/faster_rcnn_box_coder.proto\x1a\x30object_detection/protos/keypoint_box_coder.proto\x1a\x33object_detection/protos/mean_stddev_box_coder.proto\x1a.object_detection/protos/square_box_coder.proto\"\xc7\x02\n\x08\x42oxCoder\x12L\n\x15\x66\x61ster_rcnn_box_coder\x18\x01 \x01(\x0b\x32+.object_detection.protos.FasterRcnnBoxCoderH\x00\x12L\n\x15mean_stddev_box_coder\x18\x02 \x01(\x0b\x32+.object_detection.protos.MeanStddevBoxCoderH\x00\x12\x43\n\x10square_box_coder\x18\x03 \x01(\x0b\x32\'.object_detection.protos.SquareBoxCoderH\x00\x12G\n\x12keypoint_box_coder\x18\x04 \x01(\x0b\x32).object_detection.protos.KeypointBoxCoderH\x00\x42\x11\n\x0f\x62ox_coder_oneof')
,
dependencies=[object__detection_dot_protos_dot_faster__rcnn__box__coder__pb2.DESCRIPTOR,object__detection_dot_protos_dot_keypoint__box__coder__pb2.DESCRIPTOR,object__detection_dot_protos_dot_mean__stddev__box__coder__pb2.DESCRIPTOR,object__detection_dot_protos_dot_square__box__coder__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_BOXCODER = _descriptor.Descriptor(
name='BoxCoder',
full_name='object_detection.protos.BoxCoder',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='faster_rcnn_box_coder', full_name='object_detection.protos.BoxCoder.faster_rcnn_box_coder', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mean_stddev_box_coder', full_name='object_detection.protos.BoxCoder.mean_stddev_box_coder', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='square_box_coder', full_name='object_detection.protos.BoxCoder.square_box_coder', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_box_coder', full_name='object_detection.protos.BoxCoder.keypoint_box_coder', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='box_coder_oneof', full_name='object_detection.protos.BoxCoder.box_coder_oneof',
index=0, containing_type=None, fields=[]),
],
serialized_start=273,
serialized_end=600,
)
_BOXCODER.fields_by_name['faster_rcnn_box_coder'].message_type = object__detection_dot_protos_dot_faster__rcnn__box__coder__pb2._FASTERRCNNBOXCODER
_BOXCODER.fields_by_name['mean_stddev_box_coder'].message_type = object__detection_dot_protos_dot_mean__stddev__box__coder__pb2._MEANSTDDEVBOXCODER
_BOXCODER.fields_by_name['square_box_coder'].message_type = object__detection_dot_protos_dot_square__box__coder__pb2._SQUAREBOXCODER
_BOXCODER.fields_by_name['keypoint_box_coder'].message_type = object__detection_dot_protos_dot_keypoint__box__coder__pb2._KEYPOINTBOXCODER
_BOXCODER.oneofs_by_name['box_coder_oneof'].fields.append(
_BOXCODER.fields_by_name['faster_rcnn_box_coder'])
_BOXCODER.fields_by_name['faster_rcnn_box_coder'].containing_oneof = _BOXCODER.oneofs_by_name['box_coder_oneof']
_BOXCODER.oneofs_by_name['box_coder_oneof'].fields.append(
_BOXCODER.fields_by_name['mean_stddev_box_coder'])
_BOXCODER.fields_by_name['mean_stddev_box_coder'].containing_oneof = _BOXCODER.oneofs_by_name['box_coder_oneof']
_BOXCODER.oneofs_by_name['box_coder_oneof'].fields.append(
_BOXCODER.fields_by_name['square_box_coder'])
_BOXCODER.fields_by_name['square_box_coder'].containing_oneof = _BOXCODER.oneofs_by_name['box_coder_oneof']
_BOXCODER.oneofs_by_name['box_coder_oneof'].fields.append(
_BOXCODER.fields_by_name['keypoint_box_coder'])
_BOXCODER.fields_by_name['keypoint_box_coder'].containing_oneof = _BOXCODER.oneofs_by_name['box_coder_oneof']
DESCRIPTOR.message_types_by_name['BoxCoder'] = _BOXCODER
BoxCoder = _reflection.GeneratedProtocolMessageType('BoxCoder', (_message.Message,), dict(
DESCRIPTOR = _BOXCODER,
__module__ = 'object_detection.protos.box_coder_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.BoxCoder)
))
_sym_db.RegisterMessage(BoxCoder)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/box_predictor_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/box_predictor.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from object_detection.protos import hyperparams_pb2 as object__detection_dot_protos_dot_hyperparams__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/box_predictor.proto',
package='object_detection.protos',
syntax='proto2',
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,
dependencies=[object__detection_dot_protos_dot_hyperparams__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_SCORECONVERTER = _descriptor.EnumDescriptor(
name='ScoreConverter',
full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.ScoreConverter',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='IDENTITY', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SIGMOID', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1754,
serialized_end=1797,
)
_sym_db.RegisterEnumDescriptor(_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_SCORECONVERTER)
_BOXPREDICTOR = _descriptor.Descriptor(
name='BoxPredictor',
full_name='object_detection.protos.BoxPredictor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='convolutional_box_predictor', full_name='object_detection.protos.BoxPredictor.convolutional_box_predictor', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mask_rcnn_box_predictor', full_name='object_detection.protos.BoxPredictor.mask_rcnn_box_predictor', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='rfcn_box_predictor', full_name='object_detection.protos.BoxPredictor.rfcn_box_predictor', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weight_shared_convolutional_box_predictor', full_name='object_detection.protos.BoxPredictor.weight_shared_convolutional_box_predictor', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='box_predictor_oneof', full_name='object_detection.protos.BoxPredictor.box_predictor_oneof',
index=0, containing_type=None, fields=[]),
],
serialized_start=116,
serialized_end=516,
)
_CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE = _descriptor.Descriptor(
name='BoxEncodingsClipRange',
full_name='object_detection.protos.ConvolutionalBoxPredictor.BoxEncodingsClipRange',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min', full_name='object_detection.protos.ConvolutionalBoxPredictor.BoxEncodingsClipRange.min', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max', full_name='object_detection.protos.ConvolutionalBoxPredictor.BoxEncodingsClipRange.max', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1029,
serialized_end=1078,
)
_CONVOLUTIONALBOXPREDICTOR = _descriptor.Descriptor(
name='ConvolutionalBoxPredictor',
full_name='object_detection.protos.ConvolutionalBoxPredictor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='conv_hyperparams', full_name='object_detection.protos.ConvolutionalBoxPredictor.conv_hyperparams', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_depth', full_name='object_detection.protos.ConvolutionalBoxPredictor.min_depth', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_depth', full_name='object_detection.protos.ConvolutionalBoxPredictor.max_depth', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_layers_before_predictor', full_name='object_detection.protos.ConvolutionalBoxPredictor.num_layers_before_predictor', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_dropout', full_name='object_detection.protos.ConvolutionalBoxPredictor.use_dropout', index=4,
number=5, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='dropout_keep_probability', full_name='object_detection.protos.ConvolutionalBoxPredictor.dropout_keep_probability', index=5,
number=6, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.8),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='kernel_size', full_name='object_detection.protos.ConvolutionalBoxPredictor.kernel_size', index=6,
number=7, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='box_code_size', full_name='object_detection.protos.ConvolutionalBoxPredictor.box_code_size', index=7,
number=8, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=4,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='apply_sigmoid_to_scores', full_name='object_detection.protos.ConvolutionalBoxPredictor.apply_sigmoid_to_scores', index=8,
number=9, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='class_prediction_bias_init', full_name='object_detection.protos.ConvolutionalBoxPredictor.class_prediction_bias_init', index=9,
number=10, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_depthwise', full_name='object_detection.protos.ConvolutionalBoxPredictor.use_depthwise', index=10,
number=11, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='box_encodings_clip_range', full_name='object_detection.protos.ConvolutionalBoxPredictor.box_encodings_clip_range', index=11,
number=12, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[_CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=519,
serialized_end=1078,
)
_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE = _descriptor.Descriptor(
name='BoxEncodingsClipRange',
full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange.min', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange.max', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1029,
serialized_end=1078,
)
_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR = _descriptor.Descriptor(
name='WeightSharedConvolutionalBoxPredictor',
full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='conv_hyperparams', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.conv_hyperparams', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_layers_before_predictor', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.num_layers_before_predictor', index=1,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='depth', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.depth', index=2,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='kernel_size', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.kernel_size', index=3,
number=7, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=3,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='box_code_size', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.box_code_size', index=4,
number=8, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=4,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='class_prediction_bias_init', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.class_prediction_bias_init', index=5,
number=10, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_dropout', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.use_dropout', index=6,
number=11, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='dropout_keep_probability', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.dropout_keep_probability', index=7,
number=12, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.8),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='share_prediction_tower', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.share_prediction_tower', index=8,
number=13, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_depthwise', full_name='object_detection.protos.WeightSharedConvolutionalBoxPredictor.use_depthwise', index=9,
number=14, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
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number=16, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
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number=17, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE, ],
enum_types=[
_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_SCORECONVERTER,
],
options=None,
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syntax='proto2',
extension_ranges=[],
oneofs=[
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)
_MASKRCNNBOXPREDICTOR = _descriptor.Descriptor(
name='MaskRCNNBoxPredictor',
full_name='object_detection.protos.MaskRCNNBoxPredictor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='fc_hyperparams', full_name='object_detection.protos.MaskRCNNBoxPredictor.fc_hyperparams', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
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number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
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number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
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number=4, type=5, cpp_type=1, label=1,
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message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='conv_hyperparams', full_name='object_detection.protos.MaskRCNNBoxPredictor.conv_hyperparams', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='predict_instance_masks', full_name='object_detection.protos.MaskRCNNBoxPredictor.predict_instance_masks', index=5,
number=6, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mask_prediction_conv_depth', full_name='object_detection.protos.MaskRCNNBoxPredictor.mask_prediction_conv_depth', index=6,
number=7, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=256,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='predict_keypoints', full_name='object_detection.protos.MaskRCNNBoxPredictor.predict_keypoints', index=7,
number=8, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mask_height', full_name='object_detection.protos.MaskRCNNBoxPredictor.mask_height', index=8,
number=9, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=15,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mask_width', full_name='object_detection.protos.MaskRCNNBoxPredictor.mask_width', index=9,
number=10, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=15,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mask_prediction_num_conv_layers', full_name='object_detection.protos.MaskRCNNBoxPredictor.mask_prediction_num_conv_layers', index=10,
number=11, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=2,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='masks_are_class_agnostic', full_name='object_detection.protos.MaskRCNNBoxPredictor.masks_are_class_agnostic', index=11,
number=12, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='share_box_across_classes', full_name='object_detection.protos.MaskRCNNBoxPredictor.share_box_across_classes', index=12,
number=13, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='convolve_then_upsample_masks', full_name='object_detection.protos.MaskRCNNBoxPredictor.convolve_then_upsample_masks', index=13,
number=14, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1800,
serialized_end=2375,
)
_RFCNBOXPREDICTOR = _descriptor.Descriptor(
name='RfcnBoxPredictor',
full_name='object_detection.protos.RfcnBoxPredictor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='conv_hyperparams', full_name='object_detection.protos.RfcnBoxPredictor.conv_hyperparams', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_spatial_bins_height', full_name='object_detection.protos.RfcnBoxPredictor.num_spatial_bins_height', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=3,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_spatial_bins_width', full_name='object_detection.protos.RfcnBoxPredictor.num_spatial_bins_width', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=3,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='depth', full_name='object_detection.protos.RfcnBoxPredictor.depth', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1024,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='box_code_size', full_name='object_detection.protos.RfcnBoxPredictor.box_code_size', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=4,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='crop_height', full_name='object_detection.protos.RfcnBoxPredictor.crop_height', index=5,
number=6, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=12,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='crop_width', full_name='object_detection.protos.RfcnBoxPredictor.crop_width', index=6,
number=7, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=12,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2378,
serialized_end=2627,
)
_BOXPREDICTOR.fields_by_name['convolutional_box_predictor'].message_type = _CONVOLUTIONALBOXPREDICTOR
_BOXPREDICTOR.fields_by_name['mask_rcnn_box_predictor'].message_type = _MASKRCNNBOXPREDICTOR
_BOXPREDICTOR.fields_by_name['rfcn_box_predictor'].message_type = _RFCNBOXPREDICTOR
_BOXPREDICTOR.fields_by_name['weight_shared_convolutional_box_predictor'].message_type = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR
_BOXPREDICTOR.oneofs_by_name['box_predictor_oneof'].fields.append(
_BOXPREDICTOR.fields_by_name['convolutional_box_predictor'])
_BOXPREDICTOR.fields_by_name['convolutional_box_predictor'].containing_oneof = _BOXPREDICTOR.oneofs_by_name['box_predictor_oneof']
_BOXPREDICTOR.oneofs_by_name['box_predictor_oneof'].fields.append(
_BOXPREDICTOR.fields_by_name['mask_rcnn_box_predictor'])
_BOXPREDICTOR.fields_by_name['mask_rcnn_box_predictor'].containing_oneof = _BOXPREDICTOR.oneofs_by_name['box_predictor_oneof']
_BOXPREDICTOR.oneofs_by_name['box_predictor_oneof'].fields.append(
_BOXPREDICTOR.fields_by_name['rfcn_box_predictor'])
_BOXPREDICTOR.fields_by_name['rfcn_box_predictor'].containing_oneof = _BOXPREDICTOR.oneofs_by_name['box_predictor_oneof']
_BOXPREDICTOR.oneofs_by_name['box_predictor_oneof'].fields.append(
_BOXPREDICTOR.fields_by_name['weight_shared_convolutional_box_predictor'])
_BOXPREDICTOR.fields_by_name['weight_shared_convolutional_box_predictor'].containing_oneof = _BOXPREDICTOR.oneofs_by_name['box_predictor_oneof']
_CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE.containing_type = _CONVOLUTIONALBOXPREDICTOR
_CONVOLUTIONALBOXPREDICTOR.fields_by_name['conv_hyperparams'].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS
_CONVOLUTIONALBOXPREDICTOR.fields_by_name['box_encodings_clip_range'].message_type = _CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE
_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE.containing_type = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR
_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR.fields_by_name['conv_hyperparams'].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS
_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR.fields_by_name['score_converter'].enum_type = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_SCORECONVERTER
_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR.fields_by_name['box_encodings_clip_range'].message_type = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE
_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_SCORECONVERTER.containing_type = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR
_MASKRCNNBOXPREDICTOR.fields_by_name['fc_hyperparams'].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS
_MASKRCNNBOXPREDICTOR.fields_by_name['conv_hyperparams'].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS
_RFCNBOXPREDICTOR.fields_by_name['conv_hyperparams'].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS
DESCRIPTOR.message_types_by_name['BoxPredictor'] = _BOXPREDICTOR
DESCRIPTOR.message_types_by_name['ConvolutionalBoxPredictor'] = _CONVOLUTIONALBOXPREDICTOR
DESCRIPTOR.message_types_by_name['WeightSharedConvolutionalBoxPredictor'] = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR
DESCRIPTOR.message_types_by_name['MaskRCNNBoxPredictor'] = _MASKRCNNBOXPREDICTOR
DESCRIPTOR.message_types_by_name['RfcnBoxPredictor'] = _RFCNBOXPREDICTOR
BoxPredictor = _reflection.GeneratedProtocolMessageType('BoxPredictor', (_message.Message,), dict(
DESCRIPTOR = _BOXPREDICTOR,
__module__ = 'object_detection.protos.box_predictor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.BoxPredictor)
))
_sym_db.RegisterMessage(BoxPredictor)
ConvolutionalBoxPredictor = _reflection.GeneratedProtocolMessageType('ConvolutionalBoxPredictor', (_message.Message,), dict(
BoxEncodingsClipRange = _reflection.GeneratedProtocolMessageType('BoxEncodingsClipRange', (_message.Message,), dict(
DESCRIPTOR = _CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE,
__module__ = 'object_detection.protos.box_predictor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ConvolutionalBoxPredictor.BoxEncodingsClipRange)
))
,
DESCRIPTOR = _CONVOLUTIONALBOXPREDICTOR,
__module__ = 'object_detection.protos.box_predictor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ConvolutionalBoxPredictor)
))
_sym_db.RegisterMessage(ConvolutionalBoxPredictor)
_sym_db.RegisterMessage(ConvolutionalBoxPredictor.BoxEncodingsClipRange)
WeightSharedConvolutionalBoxPredictor = _reflection.GeneratedProtocolMessageType('WeightSharedConvolutionalBoxPredictor', (_message.Message,), dict(
BoxEncodingsClipRange = _reflection.GeneratedProtocolMessageType('BoxEncodingsClipRange', (_message.Message,), dict(
DESCRIPTOR = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE,
__module__ = 'object_detection.protos.box_predictor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange)
))
,
DESCRIPTOR = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR,
__module__ = 'object_detection.protos.box_predictor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.WeightSharedConvolutionalBoxPredictor)
))
_sym_db.RegisterMessage(WeightSharedConvolutionalBoxPredictor)
_sym_db.RegisterMessage(WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange)
MaskRCNNBoxPredictor = _reflection.GeneratedProtocolMessageType('MaskRCNNBoxPredictor', (_message.Message,), dict(
DESCRIPTOR = _MASKRCNNBOXPREDICTOR,
__module__ = 'object_detection.protos.box_predictor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.MaskRCNNBoxPredictor)
))
_sym_db.RegisterMessage(MaskRCNNBoxPredictor)
RfcnBoxPredictor = _reflection.GeneratedProtocolMessageType('RfcnBoxPredictor', (_message.Message,), dict(
DESCRIPTOR = _RFCNBOXPREDICTOR,
__module__ = 'object_detection.protos.box_predictor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RfcnBoxPredictor)
))
_sym_db.RegisterMessage(RfcnBoxPredictor)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/calibration_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/calibration.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/calibration.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n)object_detection/protos/calibration.proto\x12\x17object_detection.protos\"\xe4\x03\n\x11\x43\x61librationConfig\x12P\n\x16\x66unction_approximation\x18\x01 \x01(\x0b\x32..object_detection.protos.FunctionApproximationH\x00\x12\x62\n class_id_function_approximations\x18\x02 \x01(\x0b\x32\x36.object_detection.protos.ClassIdFunctionApproximationsH\x00\x12J\n\x13sigmoid_calibration\x18\x03 \x01(\x0b\x32+.object_detection.protos.SigmoidCalibrationH\x00\x12\\\n\x1d\x63lass_id_sigmoid_calibrations\x18\x04 \x01(\x0b\x32\x33.object_detection.protos.ClassIdSigmoidCalibrationsH\x00\x12\x61\n\x1ftemperature_scaling_calibration\x18\x05 \x01(\x0b\x32\x36.object_detection.protos.TemperatureScalingCalibrationH\x00\x42\x0c\n\ncalibrator\"L\n\x15\x46unctionApproximation\x12\x33\n\tx_y_pairs\x18\x01 \x01(\x0b\x32 .object_detection.protos.XYPairs\"\xe9\x01\n\x1d\x43lassIdFunctionApproximations\x12l\n\x15\x63lass_id_xy_pairs_map\x18\x01 \x03(\x0b\x32M.object_detection.protos.ClassIdFunctionApproximations.ClassIdXyPairsMapEntry\x1aZ\n\x16\x43lassIdXyPairsMapEntry\x12\x0b\n\x03key\x18\x01 \x01(\x05\x12/\n\x05value\x18\x02 \x01(\x0b\x32 .object_detection.protos.XYPairs:\x02\x38\x01\"\\\n\x12SigmoidCalibration\x12\x46\n\x12sigmoid_parameters\x18\x01 \x01(\x0b\x32*.object_detection.protos.SigmoidParameters\"\x8b\x02\n\x1a\x43lassIdSigmoidCalibrations\x12}\n\x1f\x63lass_id_sigmoid_parameters_map\x18\x01 \x03(\x0b\x32T.object_detection.protos.ClassIdSigmoidCalibrations.ClassIdSigmoidParametersMapEntry\x1an\n ClassIdSigmoidParametersMapEntry\x12\x0b\n\x03key\x18\x01 \x01(\x05\x12\x39\n\x05value\x18\x02 \x01(\x0b\x32*.object_detection.protos.SigmoidParameters:\x02\x38\x01\"/\n\x1dTemperatureScalingCalibration\x12\x0e\n\x06scaler\x18\x01 \x01(\x02\"\xab\x01\n\x07XYPairs\x12\x39\n\x08x_y_pair\x18\x01 \x03(\x0b\x32\'.object_detection.protos.XYPairs.XYPair\x12\x45\n\x12training_data_type\x18\x02 \x01(\x0e\x32).object_detection.protos.TrainingDataType\x1a\x1e\n\x06XYPair\x12\t\n\x01x\x18\x01 \x01(\x02\x12\t\n\x01y\x18\x02 \x01(\x02\"0\n\x11SigmoidParameters\x12\r\n\x01\x61\x18\x01 \x01(\x02:\x02-1\x12\x0c\n\x01\x62\x18\x02 \x01(\x02:\x01\x30*N\n\x10TrainingDataType\x12\x15\n\x11\x44\x41TA_TYPE_UNKNOWN\x10\x00\x12\x0f\n\x0b\x41LL_CLASSES\x10\x01\x12\x12\n\x0e\x43LASS_SPECIFIC\x10\x02')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_TRAININGDATATYPE = _descriptor.EnumDescriptor(
name='TrainingDataType',
full_name='object_detection.protos.TrainingDataType',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DATA_TYPE_UNKNOWN', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ALL_CLASSES', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CLASS_SPECIFIC', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1508,
serialized_end=1586,
)
_sym_db.RegisterEnumDescriptor(_TRAININGDATATYPE)
TrainingDataType = enum_type_wrapper.EnumTypeWrapper(_TRAININGDATATYPE)
DATA_TYPE_UNKNOWN = 0
ALL_CLASSES = 1
CLASS_SPECIFIC = 2
_CALIBRATIONCONFIG = _descriptor.Descriptor(
name='CalibrationConfig',
full_name='object_detection.protos.CalibrationConfig',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='function_approximation', full_name='object_detection.protos.CalibrationConfig.function_approximation', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='class_id_function_approximations', full_name='object_detection.protos.CalibrationConfig.class_id_function_approximations', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='sigmoid_calibration', full_name='object_detection.protos.CalibrationConfig.sigmoid_calibration', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='class_id_sigmoid_calibrations', full_name='object_detection.protos.CalibrationConfig.class_id_sigmoid_calibrations', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='temperature_scaling_calibration', full_name='object_detection.protos.CalibrationConfig.temperature_scaling_calibration', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='calibrator', full_name='object_detection.protos.CalibrationConfig.calibrator',
index=0, containing_type=None, fields=[]),
],
serialized_start=71,
serialized_end=555,
)
_FUNCTIONAPPROXIMATION = _descriptor.Descriptor(
name='FunctionApproximation',
full_name='object_detection.protos.FunctionApproximation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='x_y_pairs', full_name='object_detection.protos.FunctionApproximation.x_y_pairs', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=557,
serialized_end=633,
)
_CLASSIDFUNCTIONAPPROXIMATIONS_CLASSIDXYPAIRSMAPENTRY = _descriptor.Descriptor(
name='ClassIdXyPairsMapEntry',
full_name='object_detection.protos.ClassIdFunctionApproximations.ClassIdXyPairsMapEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='object_detection.protos.ClassIdFunctionApproximations.ClassIdXyPairsMapEntry.key', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='value', full_name='object_detection.protos.ClassIdFunctionApproximations.ClassIdXyPairsMapEntry.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=779,
serialized_end=869,
)
_CLASSIDFUNCTIONAPPROXIMATIONS = _descriptor.Descriptor(
name='ClassIdFunctionApproximations',
full_name='object_detection.protos.ClassIdFunctionApproximations',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='class_id_xy_pairs_map', full_name='object_detection.protos.ClassIdFunctionApproximations.class_id_xy_pairs_map', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[_CLASSIDFUNCTIONAPPROXIMATIONS_CLASSIDXYPAIRSMAPENTRY, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=636,
serialized_end=869,
)
_SIGMOIDCALIBRATION = _descriptor.Descriptor(
name='SigmoidCalibration',
full_name='object_detection.protos.SigmoidCalibration',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='sigmoid_parameters', full_name='object_detection.protos.SigmoidCalibration.sigmoid_parameters', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=871,
serialized_end=963,
)
_CLASSIDSIGMOIDCALIBRATIONS_CLASSIDSIGMOIDPARAMETERSMAPENTRY = _descriptor.Descriptor(
name='ClassIdSigmoidParametersMapEntry',
full_name='object_detection.protos.ClassIdSigmoidCalibrations.ClassIdSigmoidParametersMapEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='object_detection.protos.ClassIdSigmoidCalibrations.ClassIdSigmoidParametersMapEntry.key', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='value', full_name='object_detection.protos.ClassIdSigmoidCalibrations.ClassIdSigmoidParametersMapEntry.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1123,
serialized_end=1233,
)
_CLASSIDSIGMOIDCALIBRATIONS = _descriptor.Descriptor(
name='ClassIdSigmoidCalibrations',
full_name='object_detection.protos.ClassIdSigmoidCalibrations',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='class_id_sigmoid_parameters_map', full_name='object_detection.protos.ClassIdSigmoidCalibrations.class_id_sigmoid_parameters_map', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[_CLASSIDSIGMOIDCALIBRATIONS_CLASSIDSIGMOIDPARAMETERSMAPENTRY, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=966,
serialized_end=1233,
)
_TEMPERATURESCALINGCALIBRATION = _descriptor.Descriptor(
name='TemperatureScalingCalibration',
full_name='object_detection.protos.TemperatureScalingCalibration',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='scaler', full_name='object_detection.protos.TemperatureScalingCalibration.scaler', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1235,
serialized_end=1282,
)
_XYPAIRS_XYPAIR = _descriptor.Descriptor(
name='XYPair',
full_name='object_detection.protos.XYPairs.XYPair',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='x', full_name='object_detection.protos.XYPairs.XYPair.x', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='y', full_name='object_detection.protos.XYPairs.XYPair.y', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1426,
serialized_end=1456,
)
_XYPAIRS = _descriptor.Descriptor(
name='XYPairs',
full_name='object_detection.protos.XYPairs',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='x_y_pair', full_name='object_detection.protos.XYPairs.x_y_pair', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='training_data_type', full_name='object_detection.protos.XYPairs.training_data_type', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[_XYPAIRS_XYPAIR, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1285,
serialized_end=1456,
)
_SIGMOIDPARAMETERS = _descriptor.Descriptor(
name='SigmoidParameters',
full_name='object_detection.protos.SigmoidParameters',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='object_detection.protos.SigmoidParameters.a', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(-1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='b', full_name='object_detection.protos.SigmoidParameters.b', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1458,
serialized_end=1506,
)
_CALIBRATIONCONFIG.fields_by_name['function_approximation'].message_type = _FUNCTIONAPPROXIMATION
_CALIBRATIONCONFIG.fields_by_name['class_id_function_approximations'].message_type = _CLASSIDFUNCTIONAPPROXIMATIONS
_CALIBRATIONCONFIG.fields_by_name['sigmoid_calibration'].message_type = _SIGMOIDCALIBRATION
_CALIBRATIONCONFIG.fields_by_name['class_id_sigmoid_calibrations'].message_type = _CLASSIDSIGMOIDCALIBRATIONS
_CALIBRATIONCONFIG.fields_by_name['temperature_scaling_calibration'].message_type = _TEMPERATURESCALINGCALIBRATION
_CALIBRATIONCONFIG.oneofs_by_name['calibrator'].fields.append(
_CALIBRATIONCONFIG.fields_by_name['function_approximation'])
_CALIBRATIONCONFIG.fields_by_name['function_approximation'].containing_oneof = _CALIBRATIONCONFIG.oneofs_by_name['calibrator']
_CALIBRATIONCONFIG.oneofs_by_name['calibrator'].fields.append(
_CALIBRATIONCONFIG.fields_by_name['class_id_function_approximations'])
_CALIBRATIONCONFIG.fields_by_name['class_id_function_approximations'].containing_oneof = _CALIBRATIONCONFIG.oneofs_by_name['calibrator']
_CALIBRATIONCONFIG.oneofs_by_name['calibrator'].fields.append(
_CALIBRATIONCONFIG.fields_by_name['sigmoid_calibration'])
_CALIBRATIONCONFIG.fields_by_name['sigmoid_calibration'].containing_oneof = _CALIBRATIONCONFIG.oneofs_by_name['calibrator']
_CALIBRATIONCONFIG.oneofs_by_name['calibrator'].fields.append(
_CALIBRATIONCONFIG.fields_by_name['class_id_sigmoid_calibrations'])
_CALIBRATIONCONFIG.fields_by_name['class_id_sigmoid_calibrations'].containing_oneof = _CALIBRATIONCONFIG.oneofs_by_name['calibrator']
_CALIBRATIONCONFIG.oneofs_by_name['calibrator'].fields.append(
_CALIBRATIONCONFIG.fields_by_name['temperature_scaling_calibration'])
_CALIBRATIONCONFIG.fields_by_name['temperature_scaling_calibration'].containing_oneof = _CALIBRATIONCONFIG.oneofs_by_name['calibrator']
_FUNCTIONAPPROXIMATION.fields_by_name['x_y_pairs'].message_type = _XYPAIRS
_CLASSIDFUNCTIONAPPROXIMATIONS_CLASSIDXYPAIRSMAPENTRY.fields_by_name['value'].message_type = _XYPAIRS
_CLASSIDFUNCTIONAPPROXIMATIONS_CLASSIDXYPAIRSMAPENTRY.containing_type = _CLASSIDFUNCTIONAPPROXIMATIONS
_CLASSIDFUNCTIONAPPROXIMATIONS.fields_by_name['class_id_xy_pairs_map'].message_type = _CLASSIDFUNCTIONAPPROXIMATIONS_CLASSIDXYPAIRSMAPENTRY
_SIGMOIDCALIBRATION.fields_by_name['sigmoid_parameters'].message_type = _SIGMOIDPARAMETERS
_CLASSIDSIGMOIDCALIBRATIONS_CLASSIDSIGMOIDPARAMETERSMAPENTRY.fields_by_name['value'].message_type = _SIGMOIDPARAMETERS
_CLASSIDSIGMOIDCALIBRATIONS_CLASSIDSIGMOIDPARAMETERSMAPENTRY.containing_type = _CLASSIDSIGMOIDCALIBRATIONS
_CLASSIDSIGMOIDCALIBRATIONS.fields_by_name['class_id_sigmoid_parameters_map'].message_type = _CLASSIDSIGMOIDCALIBRATIONS_CLASSIDSIGMOIDPARAMETERSMAPENTRY
_XYPAIRS_XYPAIR.containing_type = _XYPAIRS
_XYPAIRS.fields_by_name['x_y_pair'].message_type = _XYPAIRS_XYPAIR
_XYPAIRS.fields_by_name['training_data_type'].enum_type = _TRAININGDATATYPE
DESCRIPTOR.message_types_by_name['CalibrationConfig'] = _CALIBRATIONCONFIG
DESCRIPTOR.message_types_by_name['FunctionApproximation'] = _FUNCTIONAPPROXIMATION
DESCRIPTOR.message_types_by_name['ClassIdFunctionApproximations'] = _CLASSIDFUNCTIONAPPROXIMATIONS
DESCRIPTOR.message_types_by_name['SigmoidCalibration'] = _SIGMOIDCALIBRATION
DESCRIPTOR.message_types_by_name['ClassIdSigmoidCalibrations'] = _CLASSIDSIGMOIDCALIBRATIONS
DESCRIPTOR.message_types_by_name['TemperatureScalingCalibration'] = _TEMPERATURESCALINGCALIBRATION
DESCRIPTOR.message_types_by_name['XYPairs'] = _XYPAIRS
DESCRIPTOR.message_types_by_name['SigmoidParameters'] = _SIGMOIDPARAMETERS
DESCRIPTOR.enum_types_by_name['TrainingDataType'] = _TRAININGDATATYPE
CalibrationConfig = _reflection.GeneratedProtocolMessageType('CalibrationConfig', (_message.Message,), dict(
DESCRIPTOR = _CALIBRATIONCONFIG,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CalibrationConfig)
))
_sym_db.RegisterMessage(CalibrationConfig)
FunctionApproximation = _reflection.GeneratedProtocolMessageType('FunctionApproximation', (_message.Message,), dict(
DESCRIPTOR = _FUNCTIONAPPROXIMATION,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.FunctionApproximation)
))
_sym_db.RegisterMessage(FunctionApproximation)
ClassIdFunctionApproximations = _reflection.GeneratedProtocolMessageType('ClassIdFunctionApproximations', (_message.Message,), dict(
ClassIdXyPairsMapEntry = _reflection.GeneratedProtocolMessageType('ClassIdXyPairsMapEntry', (_message.Message,), dict(
DESCRIPTOR = _CLASSIDFUNCTIONAPPROXIMATIONS_CLASSIDXYPAIRSMAPENTRY,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ClassIdFunctionApproximations.ClassIdXyPairsMapEntry)
))
,
DESCRIPTOR = _CLASSIDFUNCTIONAPPROXIMATIONS,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ClassIdFunctionApproximations)
))
_sym_db.RegisterMessage(ClassIdFunctionApproximations)
_sym_db.RegisterMessage(ClassIdFunctionApproximations.ClassIdXyPairsMapEntry)
SigmoidCalibration = _reflection.GeneratedProtocolMessageType('SigmoidCalibration', (_message.Message,), dict(
DESCRIPTOR = _SIGMOIDCALIBRATION,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SigmoidCalibration)
))
_sym_db.RegisterMessage(SigmoidCalibration)
ClassIdSigmoidCalibrations = _reflection.GeneratedProtocolMessageType('ClassIdSigmoidCalibrations', (_message.Message,), dict(
ClassIdSigmoidParametersMapEntry = _reflection.GeneratedProtocolMessageType('ClassIdSigmoidParametersMapEntry', (_message.Message,), dict(
DESCRIPTOR = _CLASSIDSIGMOIDCALIBRATIONS_CLASSIDSIGMOIDPARAMETERSMAPENTRY,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ClassIdSigmoidCalibrations.ClassIdSigmoidParametersMapEntry)
))
,
DESCRIPTOR = _CLASSIDSIGMOIDCALIBRATIONS,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ClassIdSigmoidCalibrations)
))
_sym_db.RegisterMessage(ClassIdSigmoidCalibrations)
_sym_db.RegisterMessage(ClassIdSigmoidCalibrations.ClassIdSigmoidParametersMapEntry)
TemperatureScalingCalibration = _reflection.GeneratedProtocolMessageType('TemperatureScalingCalibration', (_message.Message,), dict(
DESCRIPTOR = _TEMPERATURESCALINGCALIBRATION,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.TemperatureScalingCalibration)
))
_sym_db.RegisterMessage(TemperatureScalingCalibration)
XYPairs = _reflection.GeneratedProtocolMessageType('XYPairs', (_message.Message,), dict(
XYPair = _reflection.GeneratedProtocolMessageType('XYPair', (_message.Message,), dict(
DESCRIPTOR = _XYPAIRS_XYPAIR,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.XYPairs.XYPair)
))
,
DESCRIPTOR = _XYPAIRS,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.XYPairs)
))
_sym_db.RegisterMessage(XYPairs)
_sym_db.RegisterMessage(XYPairs.XYPair)
SigmoidParameters = _reflection.GeneratedProtocolMessageType('SigmoidParameters', (_message.Message,), dict(
DESCRIPTOR = _SIGMOIDPARAMETERS,
__module__ = 'object_detection.protos.calibration_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SigmoidParameters)
))
_sym_db.RegisterMessage(SigmoidParameters)
_CLASSIDFUNCTIONAPPROXIMATIONS_CLASSIDXYPAIRSMAPENTRY.has_options = True
_CLASSIDFUNCTIONAPPROXIMATIONS_CLASSIDXYPAIRSMAPENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
_CLASSIDSIGMOIDCALIBRATIONS_CLASSIDSIGMOIDPARAMETERSMAPENTRY.has_options = True
_CLASSIDSIGMOIDCALIBRATIONS_CLASSIDSIGMOIDPARAMETERSMAPENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/center_net_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/center_net.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from object_detection.protos import image_resizer_pb2 as object__detection_dot_protos_dot_image__resizer__pb2
from object_detection.protos import losses_pb2 as object__detection_dot_protos_dot_losses__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/center_net.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n(object_detection/protos/center_net.proto\x12\x17object_detection.protos\x1a+object_detection/protos/image_resizer.proto\x1a$object_detection/protos/losses.proto\"\x9b\x10\n\tCenterNet\x12\x13\n\x0bnum_classes\x18\x01 \x01(\x05\x12M\n\x11\x66\x65\x61ture_extractor\x18\x02 \x01(\x0b\x32\x32.object_detection.protos.CenterNetFeatureExtractor\x12<\n\rimage_resizer\x18\x03 \x01(\x0b\x32%.object_detection.protos.ImageResizer\x12Q\n\x15object_detection_task\x18\x04 \x01(\x0b\x32\x32.object_detection.protos.CenterNet.ObjectDetection\x12S\n\x14object_center_params\x18\x05 \x01(\x0b\x32\x35.object_detection.protos.CenterNet.ObjectCenterParams\x12\x1f\n\x17keypoint_label_map_path\x18\x06 \x01(\t\x12W\n\x18keypoint_estimation_task\x18\x07 \x03(\x0b\x32\x35.object_detection.protos.CenterNet.KeypointEstimation\x12O\n\x14mask_estimation_task\x18\x08 \x01(\x0b\x32\x31.object_detection.protos.CenterNet.MaskEstimation\x1a\xcb\x01\n\x0fObjectDetection\x12\x1b\n\x10task_loss_weight\x18\x01 \x01(\x02:\x01\x31\x12\x1d\n\x12offset_loss_weight\x18\x03 \x01(\x02:\x01\x31\x12\x1e\n\x11scale_loss_weight\x18\x04 \x01(\x02:\x03\x30.1\x12\x44\n\x11localization_loss\x18\x08 \x01(\x0b\x32).object_detection.protos.LocalizationLossJ\x04\x08\x02\x10\x03J\x04\x08\x05\x10\x06J\x04\x08\x06\x10\x07J\x04\x08\x07\x10\x08\x1a\x8e\x02\n\x12ObjectCenterParams\x12$\n\x19object_center_loss_weight\x18\x01 \x01(\x02:\x01\x31\x12H\n\x13\x63lassification_loss\x18\x02 \x01(\x0b\x32+.object_detection.protos.ClassificationLoss\x12 \n\x11heatmap_bias_init\x18\x03 \x01(\x02:\x05-2.19\x12 \n\x13min_box_overlap_iou\x18\x04 \x01(\x02:\x03\x30.7\x12 \n\x13max_box_predictions\x18\x05 \x01(\x05:\x03\x31\x30\x30\x12\"\n\x13use_labeled_classes\x18\x06 \x01(\x08:\x05\x66\x61lse\x1a\xac\x06\n\x12KeypointEstimation\x12\x11\n\ttask_name\x18\x01 \x01(\t\x12\x1b\n\x10task_loss_weight\x18\x02 \x01(\x02:\x01\x31\x12+\n\x04loss\x18\x03 \x01(\x0b\x32\x1d.object_detection.protos.Loss\x12\x1b\n\x13keypoint_class_name\x18\x04 \x01(\t\x12l\n\x15keypoint_label_to_std\x18\x05 \x03(\x0b\x32M.object_detection.protos.CenterNet.KeypointEstimation.KeypointLabelToStdEntry\x12*\n\x1fkeypoint_regression_loss_weight\x18\x06 \x01(\x02:\x01\x31\x12\'\n\x1ckeypoint_heatmap_loss_weight\x18\x07 \x01(\x02:\x01\x31\x12&\n\x1bkeypoint_offset_loss_weight\x18\x08 \x01(\x02:\x01\x31\x12 \n\x11heatmap_bias_init\x18\t \x01(\x02:\x05-2.19\x12/\n\"keypoint_candidate_score_threshold\x18\n \x01(\x02:\x03\x30.1\x12(\n\x1bnum_candidates_per_keypoint\x18\x0b \x01(\x05:\x03\x31\x30\x30\x12$\n\x19peak_max_pool_kernel_size\x18\x0c \x01(\x05:\x01\x33\x12%\n\x18unmatched_keypoint_score\x18\r \x01(\x02:\x03\x30.1\x12\x16\n\tbox_scale\x18\x0e \x01(\x02:\x03\x31.2\x12#\n\x16\x63\x61ndidate_search_scale\x18\x0f \x01(\x02:\x03\x30.3\x12,\n\x16\x63\x61ndidate_ranking_mode\x18\x10 \x01(\t:\x0cmin_distance\x12\x1d\n\x12offset_peak_radius\x18\x11 \x01(\x05:\x01\x30\x12\"\n\x13per_keypoint_offset\x18\x12 \x01(\x08:\x05\x66\x61lse\x1a\x39\n\x17KeypointLabelToStdEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x02:\x02\x38\x01\x1a\xea\x01\n\x0eMaskEstimation\x12\x1b\n\x10task_loss_weight\x18\x01 \x01(\x02:\x01\x31\x12H\n\x13\x63lassification_loss\x18\x02 \x01(\x0b\x32+.object_detection.protos.ClassificationLoss\x12\x18\n\x0bmask_height\x18\x04 \x01(\x05:\x03\x32\x35\x36\x12\x17\n\nmask_width\x18\x05 \x01(\x05:\x03\x32\x35\x36\x12\x1c\n\x0fscore_threshold\x18\x06 \x01(\x02:\x03\x30.5\x12 \n\x11heatmap_bias_init\x18\x03 \x01(\x02:\x05-2.19\"s\n\x19\x43\x65nterNetFeatureExtractor\x12\x0c\n\x04type\x18\x01 \x01(\t\x12\x15\n\rchannel_means\x18\x02 \x03(\x02\x12\x14\n\x0c\x63hannel_stds\x18\x03 \x03(\x02\x12\x1b\n\x0c\x62gr_ordering\x18\x04 \x01(\x08:\x05\x66\x61lse')
,
dependencies=[object__detection_dot_protos_dot_image__resizer__pb2.DESCRIPTOR,object__detection_dot_protos_dot_losses__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_CENTERNET_OBJECTDETECTION = _descriptor.Descriptor(
name='ObjectDetection',
full_name='object_detection.protos.CenterNet.ObjectDetection',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='task_loss_weight', full_name='object_detection.protos.CenterNet.ObjectDetection.task_loss_weight', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='offset_loss_weight', full_name='object_detection.protos.CenterNet.ObjectDetection.offset_loss_weight', index=1,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale_loss_weight', full_name='object_detection.protos.CenterNet.ObjectDetection.scale_loss_weight', index=2,
number=4, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='localization_loss', full_name='object_detection.protos.CenterNet.ObjectDetection.localization_loss', index=3,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=700,
serialized_end=903,
)
_CENTERNET_OBJECTCENTERPARAMS = _descriptor.Descriptor(
name='ObjectCenterParams',
full_name='object_detection.protos.CenterNet.ObjectCenterParams',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='object_center_loss_weight', full_name='object_detection.protos.CenterNet.ObjectCenterParams.object_center_loss_weight', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='classification_loss', full_name='object_detection.protos.CenterNet.ObjectCenterParams.classification_loss', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='heatmap_bias_init', full_name='object_detection.protos.CenterNet.ObjectCenterParams.heatmap_bias_init', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(-2.19),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_box_overlap_iou', full_name='object_detection.protos.CenterNet.ObjectCenterParams.min_box_overlap_iou', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.7),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_box_predictions', full_name='object_detection.protos.CenterNet.ObjectCenterParams.max_box_predictions', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=100,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_labeled_classes', full_name='object_detection.protos.CenterNet.ObjectCenterParams.use_labeled_classes', index=5,
number=6, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=906,
serialized_end=1176,
)
_CENTERNET_KEYPOINTESTIMATION_KEYPOINTLABELTOSTDENTRY = _descriptor.Descriptor(
name='KeypointLabelToStdEntry',
full_name='object_detection.protos.CenterNet.KeypointEstimation.KeypointLabelToStdEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='object_detection.protos.CenterNet.KeypointEstimation.KeypointLabelToStdEntry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='value', full_name='object_detection.protos.CenterNet.KeypointEstimation.KeypointLabelToStdEntry.value', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1934,
serialized_end=1991,
)
_CENTERNET_KEYPOINTESTIMATION = _descriptor.Descriptor(
name='KeypointEstimation',
full_name='object_detection.protos.CenterNet.KeypointEstimation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='task_name', full_name='object_detection.protos.CenterNet.KeypointEstimation.task_name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='task_loss_weight', full_name='object_detection.protos.CenterNet.KeypointEstimation.task_loss_weight', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='loss', full_name='object_detection.protos.CenterNet.KeypointEstimation.loss', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_class_name', full_name='object_detection.protos.CenterNet.KeypointEstimation.keypoint_class_name', index=3,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_label_to_std', full_name='object_detection.protos.CenterNet.KeypointEstimation.keypoint_label_to_std', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_regression_loss_weight', full_name='object_detection.protos.CenterNet.KeypointEstimation.keypoint_regression_loss_weight', index=5,
number=6, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_heatmap_loss_weight', full_name='object_detection.protos.CenterNet.KeypointEstimation.keypoint_heatmap_loss_weight', index=6,
number=7, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_offset_loss_weight', full_name='object_detection.protos.CenterNet.KeypointEstimation.keypoint_offset_loss_weight', index=7,
number=8, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='heatmap_bias_init', full_name='object_detection.protos.CenterNet.KeypointEstimation.heatmap_bias_init', index=8,
number=9, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(-2.19),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_candidate_score_threshold', full_name='object_detection.protos.CenterNet.KeypointEstimation.keypoint_candidate_score_threshold', index=9,
number=10, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_candidates_per_keypoint', full_name='object_detection.protos.CenterNet.KeypointEstimation.num_candidates_per_keypoint', index=10,
number=11, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=100,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='peak_max_pool_kernel_size', full_name='object_detection.protos.CenterNet.KeypointEstimation.peak_max_pool_kernel_size', index=11,
number=12, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=3,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='unmatched_keypoint_score', full_name='object_detection.protos.CenterNet.KeypointEstimation.unmatched_keypoint_score', index=12,
number=13, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='box_scale', full_name='object_detection.protos.CenterNet.KeypointEstimation.box_scale', index=13,
number=14, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1.2),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='candidate_search_scale', full_name='object_detection.protos.CenterNet.KeypointEstimation.candidate_search_scale', index=14,
number=15, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.3),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='candidate_ranking_mode', full_name='object_detection.protos.CenterNet.KeypointEstimation.candidate_ranking_mode', index=15,
number=16, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("min_distance").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='offset_peak_radius', full_name='object_detection.protos.CenterNet.KeypointEstimation.offset_peak_radius', index=16,
number=17, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='per_keypoint_offset', full_name='object_detection.protos.CenterNet.KeypointEstimation.per_keypoint_offset', index=17,
number=18, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[_CENTERNET_KEYPOINTESTIMATION_KEYPOINTLABELTOSTDENTRY, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1179,
serialized_end=1991,
)
_CENTERNET_MASKESTIMATION = _descriptor.Descriptor(
name='MaskEstimation',
full_name='object_detection.protos.CenterNet.MaskEstimation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='task_loss_weight', full_name='object_detection.protos.CenterNet.MaskEstimation.task_loss_weight', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='classification_loss', full_name='object_detection.protos.CenterNet.MaskEstimation.classification_loss', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mask_height', full_name='object_detection.protos.CenterNet.MaskEstimation.mask_height', index=2,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=256,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mask_width', full_name='object_detection.protos.CenterNet.MaskEstimation.mask_width', index=3,
number=5, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=256,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='score_threshold', full_name='object_detection.protos.CenterNet.MaskEstimation.score_threshold', index=4,
number=6, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='heatmap_bias_init', full_name='object_detection.protos.CenterNet.MaskEstimation.heatmap_bias_init', index=5,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(-2.19),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1994,
serialized_end=2228,
)
_CENTERNET = _descriptor.Descriptor(
name='CenterNet',
full_name='object_detection.protos.CenterNet',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='num_classes', full_name='object_detection.protos.CenterNet.num_classes', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='feature_extractor', full_name='object_detection.protos.CenterNet.feature_extractor', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='image_resizer', full_name='object_detection.protos.CenterNet.image_resizer', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='object_detection_task', full_name='object_detection.protos.CenterNet.object_detection_task', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='object_center_params', full_name='object_detection.protos.CenterNet.object_center_params', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_label_map_path', full_name='object_detection.protos.CenterNet.keypoint_label_map_path', index=5,
number=6, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_estimation_task', full_name='object_detection.protos.CenterNet.keypoint_estimation_task', index=6,
number=7, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mask_estimation_task', full_name='object_detection.protos.CenterNet.mask_estimation_task', index=7,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[_CENTERNET_OBJECTDETECTION, _CENTERNET_OBJECTCENTERPARAMS, _CENTERNET_KEYPOINTESTIMATION, _CENTERNET_MASKESTIMATION, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=153,
serialized_end=2228,
)
_CENTERNETFEATUREEXTRACTOR = _descriptor.Descriptor(
name='CenterNetFeatureExtractor',
full_name='object_detection.protos.CenterNetFeatureExtractor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='type', full_name='object_detection.protos.CenterNetFeatureExtractor.type', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='channel_means', full_name='object_detection.protos.CenterNetFeatureExtractor.channel_means', index=1,
number=2, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='channel_stds', full_name='object_detection.protos.CenterNetFeatureExtractor.channel_stds', index=2,
number=3, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bgr_ordering', full_name='object_detection.protos.CenterNetFeatureExtractor.bgr_ordering', index=3,
number=4, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2230,
serialized_end=2345,
)
_CENTERNET_OBJECTDETECTION.fields_by_name['localization_loss'].message_type = object__detection_dot_protos_dot_losses__pb2._LOCALIZATIONLOSS
_CENTERNET_OBJECTDETECTION.containing_type = _CENTERNET
_CENTERNET_OBJECTCENTERPARAMS.fields_by_name['classification_loss'].message_type = object__detection_dot_protos_dot_losses__pb2._CLASSIFICATIONLOSS
_CENTERNET_OBJECTCENTERPARAMS.containing_type = _CENTERNET
_CENTERNET_KEYPOINTESTIMATION_KEYPOINTLABELTOSTDENTRY.containing_type = _CENTERNET_KEYPOINTESTIMATION
_CENTERNET_KEYPOINTESTIMATION.fields_by_name['loss'].message_type = object__detection_dot_protos_dot_losses__pb2._LOSS
_CENTERNET_KEYPOINTESTIMATION.fields_by_name['keypoint_label_to_std'].message_type = _CENTERNET_KEYPOINTESTIMATION_KEYPOINTLABELTOSTDENTRY
_CENTERNET_KEYPOINTESTIMATION.containing_type = _CENTERNET
_CENTERNET_MASKESTIMATION.fields_by_name['classification_loss'].message_type = object__detection_dot_protos_dot_losses__pb2._CLASSIFICATIONLOSS
_CENTERNET_MASKESTIMATION.containing_type = _CENTERNET
_CENTERNET.fields_by_name['feature_extractor'].message_type = _CENTERNETFEATUREEXTRACTOR
_CENTERNET.fields_by_name['image_resizer'].message_type = object__detection_dot_protos_dot_image__resizer__pb2._IMAGERESIZER
_CENTERNET.fields_by_name['object_detection_task'].message_type = _CENTERNET_OBJECTDETECTION
_CENTERNET.fields_by_name['object_center_params'].message_type = _CENTERNET_OBJECTCENTERPARAMS
_CENTERNET.fields_by_name['keypoint_estimation_task'].message_type = _CENTERNET_KEYPOINTESTIMATION
_CENTERNET.fields_by_name['mask_estimation_task'].message_type = _CENTERNET_MASKESTIMATION
DESCRIPTOR.message_types_by_name['CenterNet'] = _CENTERNET
DESCRIPTOR.message_types_by_name['CenterNetFeatureExtractor'] = _CENTERNETFEATUREEXTRACTOR
CenterNet = _reflection.GeneratedProtocolMessageType('CenterNet', (_message.Message,), dict(
ObjectDetection = _reflection.GeneratedProtocolMessageType('ObjectDetection', (_message.Message,), dict(
DESCRIPTOR = _CENTERNET_OBJECTDETECTION,
__module__ = 'object_detection.protos.center_net_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CenterNet.ObjectDetection)
))
,
ObjectCenterParams = _reflection.GeneratedProtocolMessageType('ObjectCenterParams', (_message.Message,), dict(
DESCRIPTOR = _CENTERNET_OBJECTCENTERPARAMS,
__module__ = 'object_detection.protos.center_net_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CenterNet.ObjectCenterParams)
))
,
KeypointEstimation = _reflection.GeneratedProtocolMessageType('KeypointEstimation', (_message.Message,), dict(
KeypointLabelToStdEntry = _reflection.GeneratedProtocolMessageType('KeypointLabelToStdEntry', (_message.Message,), dict(
DESCRIPTOR = _CENTERNET_KEYPOINTESTIMATION_KEYPOINTLABELTOSTDENTRY,
__module__ = 'object_detection.protos.center_net_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CenterNet.KeypointEstimation.KeypointLabelToStdEntry)
))
,
DESCRIPTOR = _CENTERNET_KEYPOINTESTIMATION,
__module__ = 'object_detection.protos.center_net_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CenterNet.KeypointEstimation)
))
,
MaskEstimation = _reflection.GeneratedProtocolMessageType('MaskEstimation', (_message.Message,), dict(
DESCRIPTOR = _CENTERNET_MASKESTIMATION,
__module__ = 'object_detection.protos.center_net_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CenterNet.MaskEstimation)
))
,
DESCRIPTOR = _CENTERNET,
__module__ = 'object_detection.protos.center_net_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CenterNet)
))
_sym_db.RegisterMessage(CenterNet)
_sym_db.RegisterMessage(CenterNet.ObjectDetection)
_sym_db.RegisterMessage(CenterNet.ObjectCenterParams)
_sym_db.RegisterMessage(CenterNet.KeypointEstimation)
_sym_db.RegisterMessage(CenterNet.KeypointEstimation.KeypointLabelToStdEntry)
_sym_db.RegisterMessage(CenterNet.MaskEstimation)
CenterNetFeatureExtractor = _reflection.GeneratedProtocolMessageType('CenterNetFeatureExtractor', (_message.Message,), dict(
DESCRIPTOR = _CENTERNETFEATUREEXTRACTOR,
__module__ = 'object_detection.protos.center_net_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CenterNetFeatureExtractor)
))
_sym_db.RegisterMessage(CenterNetFeatureExtractor)
_CENTERNET_KEYPOINTESTIMATION_KEYPOINTLABELTOSTDENTRY.has_options = True
_CENTERNET_KEYPOINTESTIMATION_KEYPOINTLABELTOSTDENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/eval_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/eval.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/eval.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n\"object_detection/protos/eval.proto\x12\x17object_detection.protos\"\xc0\x08\n\nEvalConfig\x12\x15\n\nbatch_size\x18\x19 \x01(\r:\x01\x31\x12\x1e\n\x12num_visualizations\x18\x01 \x01(\r:\x02\x31\x30\x12\x1e\n\x0cnum_examples\x18\x02 \x01(\r:\x04\x35\x30\x30\x30\x42\x02\x18\x01\x12\x1f\n\x12\x65val_interval_secs\x18\x03 \x01(\r:\x03\x33\x30\x30\x12\x18\n\tmax_evals\x18\x04 \x01(\r:\x01\x30\x42\x02\x18\x01\x12\x19\n\nsave_graph\x18\x05 \x01(\x08:\x05\x66\x61lse\x12\"\n\x18visualization_export_dir\x18\x06 \x01(\t:\x00\x12\x15\n\x0b\x65val_master\x18\x07 \x01(\t:\x00\x12\x13\n\x0bmetrics_set\x18\x08 \x03(\t\x12J\n\x14parameterized_metric\x18\x1f \x03(\x0b\x32,.object_detection.protos.ParameterizedMetric\x12\x15\n\x0b\x65xport_path\x18\t \x01(\t:\x00\x12!\n\x12ignore_groundtruth\x18\n \x01(\x08:\x05\x66\x61lse\x12\"\n\x13use_moving_averages\x18\x0b \x01(\x08:\x05\x66\x61lse\x12\"\n\x13\x65val_instance_masks\x18\x0c \x01(\x08:\x05\x66\x61lse\x12 \n\x13min_score_threshold\x18\r \x01(\x02:\x03\x30.5\x12&\n\x1amax_num_boxes_to_visualize\x18\x0e \x01(\x05:\x02\x32\x30\x12\x1a\n\x0bskip_scores\x18\x0f \x01(\x08:\x05\x66\x61lse\x12\x1a\n\x0bskip_labels\x18\x10 \x01(\x08:\x05\x66\x61lse\x12*\n\x1bvisualize_groundtruth_boxes\x18\x11 \x01(\x08:\x05\x66\x61lse\x12\x32\n#groundtruth_box_visualization_color\x18\x12 \x01(\t:\x05\x62lack\x12\x35\n&keep_image_id_for_visualization_export\x18\x13 \x01(\x08:\x05\x66\x61lse\x12$\n\x16retain_original_images\x18\x17 \x01(\x08:\x04true\x12+\n\x1cinclude_metrics_per_category\x18\x18 \x01(\x08:\x05\x66\x61lse\x12\x1d\n\x12recall_lower_bound\x18\x1a \x01(\x02:\x01\x30\x12\x1d\n\x12recall_upper_bound\x18\x1b \x01(\x02:\x01\x31\x12\x38\n)retain_original_image_additional_channels\x18\x1c \x01(\x08:\x05\x66\x61lse\x12\x1e\n\x0f\x66orce_no_resize\x18\x1d \x01(\x08:\x05\x66\x61lse\x12%\n\x16use_dummy_loss_in_eval\x18\x1e \x01(\x08:\x05\x66\x61lse\x12<\n\rkeypoint_edge\x18 \x03(\x0b\x32%.object_detection.protos.KeypointEdge\"|\n\x13ParameterizedMetric\x12M\n\x15\x63oco_keypoint_metrics\x18\x01 \x01(\x0b\x32,.object_detection.protos.CocoKeypointMetricsH\x00\x42\x16\n\x14parameterized_metric\"\xd3\x01\n\x13\x43ocoKeypointMetrics\x12\x13\n\x0b\x63lass_label\x18\x01 \x01(\t\x12i\n\x18keypoint_label_to_sigmas\x18\x02 \x03(\x0b\x32G.object_detection.protos.CocoKeypointMetrics.KeypointLabelToSigmasEntry\x1a<\n\x1aKeypointLabelToSigmasEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x02:\x02\x38\x01\"*\n\x0cKeypointEdge\x12\r\n\x05start\x18\x01 \x01(\x05\x12\x0b\n\x03\x65nd\x18\x02 \x01(\x05')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_EVALCONFIG = _descriptor.Descriptor(
name='EvalConfig',
full_name='object_detection.protos.EvalConfig',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='batch_size', full_name='object_detection.protos.EvalConfig.batch_size', index=0,
number=25, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_visualizations', full_name='object_detection.protos.EvalConfig.num_visualizations', index=1,
number=1, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=10,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_examples', full_name='object_detection.protos.EvalConfig.num_examples', index=2,
number=2, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=5000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))),
_descriptor.FieldDescriptor(
name='eval_interval_secs', full_name='object_detection.protos.EvalConfig.eval_interval_secs', index=3,
number=3, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=300,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_evals', full_name='object_detection.protos.EvalConfig.max_evals', index=4,
number=4, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))),
_descriptor.FieldDescriptor(
name='save_graph', full_name='object_detection.protos.EvalConfig.save_graph', index=5,
number=5, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='visualization_export_dir', full_name='object_detection.protos.EvalConfig.visualization_export_dir', index=6,
number=6, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='eval_master', full_name='object_detection.protos.EvalConfig.eval_master', index=7,
number=7, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='metrics_set', full_name='object_detection.protos.EvalConfig.metrics_set', index=8,
number=8, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='parameterized_metric', full_name='object_detection.protos.EvalConfig.parameterized_metric', index=9,
number=31, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='export_path', full_name='object_detection.protos.EvalConfig.export_path', index=10,
number=9, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='ignore_groundtruth', full_name='object_detection.protos.EvalConfig.ignore_groundtruth', index=11,
number=10, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_moving_averages', full_name='object_detection.protos.EvalConfig.use_moving_averages', index=12,
number=11, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='eval_instance_masks', full_name='object_detection.protos.EvalConfig.eval_instance_masks', index=13,
number=12, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_score_threshold', full_name='object_detection.protos.EvalConfig.min_score_threshold', index=14,
number=13, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_num_boxes_to_visualize', full_name='object_detection.protos.EvalConfig.max_num_boxes_to_visualize', index=15,
number=14, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=20,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='skip_scores', full_name='object_detection.protos.EvalConfig.skip_scores', index=16,
number=15, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='skip_labels', full_name='object_detection.protos.EvalConfig.skip_labels', index=17,
number=16, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='visualize_groundtruth_boxes', full_name='object_detection.protos.EvalConfig.visualize_groundtruth_boxes', index=18,
number=17, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='groundtruth_box_visualization_color', full_name='object_detection.protos.EvalConfig.groundtruth_box_visualization_color', index=19,
number=18, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("black").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keep_image_id_for_visualization_export', full_name='object_detection.protos.EvalConfig.keep_image_id_for_visualization_export', index=20,
number=19, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='retain_original_images', full_name='object_detection.protos.EvalConfig.retain_original_images', index=21,
number=23, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='include_metrics_per_category', full_name='object_detection.protos.EvalConfig.include_metrics_per_category', index=22,
number=24, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='recall_lower_bound', full_name='object_detection.protos.EvalConfig.recall_lower_bound', index=23,
number=26, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='recall_upper_bound', full_name='object_detection.protos.EvalConfig.recall_upper_bound', index=24,
number=27, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='retain_original_image_additional_channels', full_name='object_detection.protos.EvalConfig.retain_original_image_additional_channels', index=25,
number=28, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='force_no_resize', full_name='object_detection.protos.EvalConfig.force_no_resize', index=26,
number=29, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_dummy_loss_in_eval', full_name='object_detection.protos.EvalConfig.use_dummy_loss_in_eval', index=27,
number=30, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_edge', full_name='object_detection.protos.EvalConfig.keypoint_edge', index=28,
number=32, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=64,
serialized_end=1152,
)
_PARAMETERIZEDMETRIC = _descriptor.Descriptor(
name='ParameterizedMetric',
full_name='object_detection.protos.ParameterizedMetric',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='coco_keypoint_metrics', full_name='object_detection.protos.ParameterizedMetric.coco_keypoint_metrics', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='parameterized_metric', full_name='object_detection.protos.ParameterizedMetric.parameterized_metric',
index=0, containing_type=None, fields=[]),
],
serialized_start=1154,
serialized_end=1278,
)
_COCOKEYPOINTMETRICS_KEYPOINTLABELTOSIGMASENTRY = _descriptor.Descriptor(
name='KeypointLabelToSigmasEntry',
full_name='object_detection.protos.CocoKeypointMetrics.KeypointLabelToSigmasEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='object_detection.protos.CocoKeypointMetrics.KeypointLabelToSigmasEntry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='value', full_name='object_detection.protos.CocoKeypointMetrics.KeypointLabelToSigmasEntry.value', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1432,
serialized_end=1492,
)
_COCOKEYPOINTMETRICS = _descriptor.Descriptor(
name='CocoKeypointMetrics',
full_name='object_detection.protos.CocoKeypointMetrics',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='class_label', full_name='object_detection.protos.CocoKeypointMetrics.class_label', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_label_to_sigmas', full_name='object_detection.protos.CocoKeypointMetrics.keypoint_label_to_sigmas', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[_COCOKEYPOINTMETRICS_KEYPOINTLABELTOSIGMASENTRY, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1281,
serialized_end=1492,
)
_KEYPOINTEDGE = _descriptor.Descriptor(
name='KeypointEdge',
full_name='object_detection.protos.KeypointEdge',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='start', full_name='object_detection.protos.KeypointEdge.start', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='end', full_name='object_detection.protos.KeypointEdge.end', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1494,
serialized_end=1536,
)
_EVALCONFIG.fields_by_name['parameterized_metric'].message_type = _PARAMETERIZEDMETRIC
_EVALCONFIG.fields_by_name['keypoint_edge'].message_type = _KEYPOINTEDGE
_PARAMETERIZEDMETRIC.fields_by_name['coco_keypoint_metrics'].message_type = _COCOKEYPOINTMETRICS
_PARAMETERIZEDMETRIC.oneofs_by_name['parameterized_metric'].fields.append(
_PARAMETERIZEDMETRIC.fields_by_name['coco_keypoint_metrics'])
_PARAMETERIZEDMETRIC.fields_by_name['coco_keypoint_metrics'].containing_oneof = _PARAMETERIZEDMETRIC.oneofs_by_name['parameterized_metric']
_COCOKEYPOINTMETRICS_KEYPOINTLABELTOSIGMASENTRY.containing_type = _COCOKEYPOINTMETRICS
_COCOKEYPOINTMETRICS.fields_by_name['keypoint_label_to_sigmas'].message_type = _COCOKEYPOINTMETRICS_KEYPOINTLABELTOSIGMASENTRY
DESCRIPTOR.message_types_by_name['EvalConfig'] = _EVALCONFIG
DESCRIPTOR.message_types_by_name['ParameterizedMetric'] = _PARAMETERIZEDMETRIC
DESCRIPTOR.message_types_by_name['CocoKeypointMetrics'] = _COCOKEYPOINTMETRICS
DESCRIPTOR.message_types_by_name['KeypointEdge'] = _KEYPOINTEDGE
EvalConfig = _reflection.GeneratedProtocolMessageType('EvalConfig', (_message.Message,), dict(
DESCRIPTOR = _EVALCONFIG,
__module__ = 'object_detection.protos.eval_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.EvalConfig)
))
_sym_db.RegisterMessage(EvalConfig)
ParameterizedMetric = _reflection.GeneratedProtocolMessageType('ParameterizedMetric', (_message.Message,), dict(
DESCRIPTOR = _PARAMETERIZEDMETRIC,
__module__ = 'object_detection.protos.eval_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ParameterizedMetric)
))
_sym_db.RegisterMessage(ParameterizedMetric)
CocoKeypointMetrics = _reflection.GeneratedProtocolMessageType('CocoKeypointMetrics', (_message.Message,), dict(
KeypointLabelToSigmasEntry = _reflection.GeneratedProtocolMessageType('KeypointLabelToSigmasEntry', (_message.Message,), dict(
DESCRIPTOR = _COCOKEYPOINTMETRICS_KEYPOINTLABELTOSIGMASENTRY,
__module__ = 'object_detection.protos.eval_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CocoKeypointMetrics.KeypointLabelToSigmasEntry)
))
,
DESCRIPTOR = _COCOKEYPOINTMETRICS,
__module__ = 'object_detection.protos.eval_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CocoKeypointMetrics)
))
_sym_db.RegisterMessage(CocoKeypointMetrics)
_sym_db.RegisterMessage(CocoKeypointMetrics.KeypointLabelToSigmasEntry)
KeypointEdge = _reflection.GeneratedProtocolMessageType('KeypointEdge', (_message.Message,), dict(
DESCRIPTOR = _KEYPOINTEDGE,
__module__ = 'object_detection.protos.eval_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.KeypointEdge)
))
_sym_db.RegisterMessage(KeypointEdge)
_EVALCONFIG.fields_by_name['num_examples'].has_options = True
_EVALCONFIG.fields_by_name['num_examples']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
_EVALCONFIG.fields_by_name['max_evals'].has_options = True
_EVALCONFIG.fields_by_name['max_evals']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
_COCOKEYPOINTMETRICS_KEYPOINTLABELTOSIGMASENTRY.has_options = True
_COCOKEYPOINTMETRICS_KEYPOINTLABELTOSIGMASENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/faster_rcnn_box_coder_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/faster_rcnn_box_coder.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/faster_rcnn_box_coder.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n3object_detection/protos/faster_rcnn_box_coder.proto\x12\x17object_detection.protos\"o\n\x12\x46\x61sterRcnnBoxCoder\x12\x13\n\x07y_scale\x18\x01 \x01(\x02:\x02\x31\x30\x12\x13\n\x07x_scale\x18\x02 \x01(\x02:\x02\x31\x30\x12\x17\n\x0cheight_scale\x18\x03 \x01(\x02:\x01\x35\x12\x16\n\x0bwidth_scale\x18\x04 \x01(\x02:\x01\x35')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_FASTERRCNNBOXCODER = _descriptor.Descriptor(
name='FasterRcnnBoxCoder',
full_name='object_detection.protos.FasterRcnnBoxCoder',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='y_scale', full_name='object_detection.protos.FasterRcnnBoxCoder.y_scale', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(10),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='x_scale', full_name='object_detection.protos.FasterRcnnBoxCoder.x_scale', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(10),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height_scale', full_name='object_detection.protos.FasterRcnnBoxCoder.height_scale', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width_scale', full_name='object_detection.protos.FasterRcnnBoxCoder.width_scale', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=80,
serialized_end=191,
)
DESCRIPTOR.message_types_by_name['FasterRcnnBoxCoder'] = _FASTERRCNNBOXCODER
FasterRcnnBoxCoder = _reflection.GeneratedProtocolMessageType('FasterRcnnBoxCoder', (_message.Message,), dict(
DESCRIPTOR = _FASTERRCNNBOXCODER,
__module__ = 'object_detection.protos.faster_rcnn_box_coder_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.FasterRcnnBoxCoder)
))
_sym_db.RegisterMessage(FasterRcnnBoxCoder)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/faster_rcnn_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/faster_rcnn.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from object_detection.protos import anchor_generator_pb2 as object__detection_dot_protos_dot_anchor__generator__pb2
from object_detection.protos import box_predictor_pb2 as object__detection_dot_protos_dot_box__predictor__pb2
from object_detection.protos import hyperparams_pb2 as object__detection_dot_protos_dot_hyperparams__pb2
from object_detection.protos import image_resizer_pb2 as object__detection_dot_protos_dot_image__resizer__pb2
from object_detection.protos import losses_pb2 as object__detection_dot_protos_dot_losses__pb2
from object_detection.protos import post_processing_pb2 as object__detection_dot_protos_dot_post__processing__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/faster_rcnn.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n)object_detection/protos/faster_rcnn.proto\x12\x17object_detection.protos\x1a.object_detection/protos/anchor_generator.proto\x1a+object_detection/protos/box_predictor.proto\x1a)object_detection/protos/hyperparams.proto\x1a+object_detection/protos/image_resizer.proto\x1a$object_detection/protos/losses.proto\x1a-object_detection/protos/post_processing.proto\"\xe9\x0f\n\nFasterRcnn\x12\x1b\n\x10number_of_stages\x18\x01 \x01(\x05:\x01\x32\x12\x13\n\x0bnum_classes\x18\x03 \x01(\x05\x12<\n\rimage_resizer\x18\x04 \x01(\x0b\x32%.object_detection.protos.ImageResizer\x12N\n\x11\x66\x65\x61ture_extractor\x18\x05 \x01(\x0b\x32\x33.object_detection.protos.FasterRcnnFeatureExtractor\x12N\n\x1c\x66irst_stage_anchor_generator\x18\x06 \x01(\x0b\x32(.object_detection.protos.AnchorGenerator\x12\"\n\x17\x66irst_stage_atrous_rate\x18\x07 \x01(\x05:\x01\x31\x12X\n*first_stage_box_predictor_conv_hyperparams\x18\x08 \x01(\x0b\x32$.object_detection.protos.Hyperparams\x12\x30\n%first_stage_box_predictor_kernel_size\x18\t \x01(\x05:\x01\x33\x12,\n\x1f\x66irst_stage_box_predictor_depth\x18\n \x01(\x05:\x03\x35\x31\x32\x12\'\n\x1a\x66irst_stage_minibatch_size\x18\x0b \x01(\x05:\x03\x32\x35\x36\x12\x32\n%first_stage_positive_balance_fraction\x18\x0c \x01(\x02:\x03\x30.5\x12*\n\x1f\x66irst_stage_nms_score_threshold\x18\r \x01(\x02:\x01\x30\x12*\n\x1d\x66irst_stage_nms_iou_threshold\x18\x0e \x01(\x02:\x03\x30.7\x12&\n\x19\x66irst_stage_max_proposals\x18\x0f \x01(\x05:\x03\x33\x30\x30\x12/\n$first_stage_localization_loss_weight\x18\x10 \x01(\x02:\x01\x31\x12-\n\"first_stage_objectness_loss_weight\x18\x11 \x01(\x02:\x01\x31\x12\x19\n\x11initial_crop_size\x18\x12 \x01(\x05\x12\x1b\n\x13maxpool_kernel_size\x18\x13 \x01(\x05\x12\x16\n\x0emaxpool_stride\x18\x14 \x01(\x05\x12I\n\x1asecond_stage_box_predictor\x18\x15 \x01(\x0b\x32%.object_detection.protos.BoxPredictor\x12#\n\x17second_stage_batch_size\x18\x16 \x01(\x05:\x02\x36\x34\x12+\n\x1dsecond_stage_balance_fraction\x18\x17 \x01(\x02:\x04\x30.25\x12M\n\x1csecond_stage_post_processing\x18\x18 \x01(\x0b\x32\'.object_detection.protos.PostProcessing\x12\x30\n%second_stage_localization_loss_weight\x18\x19 \x01(\x02:\x01\x31\x12\x32\n\'second_stage_classification_loss_weight\x18\x1a \x01(\x02:\x01\x31\x12\x33\n(second_stage_mask_prediction_loss_weight\x18\x1b \x01(\x02:\x01\x31\x12\x45\n\x12hard_example_miner\x18\x1c \x01(\x0b\x32).object_detection.protos.HardExampleMiner\x12U\n second_stage_classification_loss\x18\x1d \x01(\x0b\x32+.object_detection.protos.ClassificationLoss\x12\'\n\x18inplace_batchnorm_update\x18\x1e \x01(\x08:\x05\x66\x61lse\x12)\n\x1ause_matmul_crop_and_resize\x18\x1f \x01(\x08:\x05\x66\x61lse\x12$\n\x15\x63lip_anchors_to_image\x18 \x01(\x08:\x05\x66\x61lse\x12+\n\x1cuse_matmul_gather_in_matcher\x18! \x01(\x08:\x05\x66\x61lse\x12\x30\n!use_static_balanced_label_sampler\x18\" \x01(\x08:\x05\x66\x61lse\x12 \n\x11use_static_shapes\x18# \x01(\x08:\x05\x66\x61lse\x12\x1a\n\x0cresize_masks\x18$ \x01(\x08:\x04true\x12)\n\x1ause_static_shapes_for_eval\x18% \x01(\x08:\x05\x66\x61lse\x12\x30\n\"use_partitioned_nms_in_first_stage\x18& \x01(\x08:\x04true\x12\x33\n$return_raw_detections_during_predict\x18\' \x01(\x08:\x05\x66\x61lse\x12.\n\x1fuse_combined_nms_in_first_stage\x18( \x01(\x08:\x05\x66\x61lse\x12(\n\x19output_final_box_features\x18* \x01(\x08:\x05\x66\x61lse\x12\x38\n\x0e\x63ontext_config\x18) \x01(\x0b\x32 .object_detection.protos.Context\"\xaa\x01\n\x07\x43ontext\x12&\n\x18max_num_context_features\x18\x01 \x01(\x05:\x04\x32\x30\x30\x30\x12,\n\x1e\x61ttention_bottleneck_dimension\x18\x02 \x01(\x05:\x04\x32\x30\x34\x38\x12#\n\x15\x61ttention_temperature\x18\x03 \x01(\x02:\x04\x30.01\x12$\n\x16\x63ontext_feature_length\x18\x04 \x01(\x05:\x04\x32\x30\x35\x37\"x\n\x1a\x46\x61sterRcnnFeatureExtractor\x12\x0c\n\x04type\x18\x01 \x01(\t\x12\'\n\x1b\x66irst_stage_features_stride\x18\x02 \x01(\x05:\x02\x31\x36\x12#\n\x14\x62\x61tch_norm_trainable\x18\x03 \x01(\x08:\x05\x66\x61lse')
,
dependencies=[object__detection_dot_protos_dot_anchor__generator__pb2.DESCRIPTOR,object__detection_dot_protos_dot_box__predictor__pb2.DESCRIPTOR,object__detection_dot_protos_dot_hyperparams__pb2.DESCRIPTOR,object__detection_dot_protos_dot_image__resizer__pb2.DESCRIPTOR,object__detection_dot_protos_dot_losses__pb2.DESCRIPTOR,object__detection_dot_protos_dot_post__processing__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_FASTERRCNN = _descriptor.Descriptor(
name='FasterRcnn',
full_name='object_detection.protos.FasterRcnn',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='number_of_stages', full_name='object_detection.protos.FasterRcnn.number_of_stages', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=2,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_classes', full_name='object_detection.protos.FasterRcnn.num_classes', index=1,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='image_resizer', full_name='object_detection.protos.FasterRcnn.image_resizer', index=2,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='feature_extractor', full_name='object_detection.protos.FasterRcnn.feature_extractor', index=3,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_anchor_generator', full_name='object_detection.protos.FasterRcnn.first_stage_anchor_generator', index=4,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_atrous_rate', full_name='object_detection.protos.FasterRcnn.first_stage_atrous_rate', index=5,
number=7, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_box_predictor_conv_hyperparams', full_name='object_detection.protos.FasterRcnn.first_stage_box_predictor_conv_hyperparams', index=6,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_box_predictor_kernel_size', full_name='object_detection.protos.FasterRcnn.first_stage_box_predictor_kernel_size', index=7,
number=9, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=3,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_box_predictor_depth', full_name='object_detection.protos.FasterRcnn.first_stage_box_predictor_depth', index=8,
number=10, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=512,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_minibatch_size', full_name='object_detection.protos.FasterRcnn.first_stage_minibatch_size', index=9,
number=11, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=256,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_positive_balance_fraction', full_name='object_detection.protos.FasterRcnn.first_stage_positive_balance_fraction', index=10,
number=12, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_nms_score_threshold', full_name='object_detection.protos.FasterRcnn.first_stage_nms_score_threshold', index=11,
number=13, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_nms_iou_threshold', full_name='object_detection.protos.FasterRcnn.first_stage_nms_iou_threshold', index=12,
number=14, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.7),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_max_proposals', full_name='object_detection.protos.FasterRcnn.first_stage_max_proposals', index=13,
number=15, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=300,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_localization_loss_weight', full_name='object_detection.protos.FasterRcnn.first_stage_localization_loss_weight', index=14,
number=16, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_objectness_loss_weight', full_name='object_detection.protos.FasterRcnn.first_stage_objectness_loss_weight', index=15,
number=17, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='initial_crop_size', full_name='object_detection.protos.FasterRcnn.initial_crop_size', index=16,
number=18, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='maxpool_kernel_size', full_name='object_detection.protos.FasterRcnn.maxpool_kernel_size', index=17,
number=19, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='maxpool_stride', full_name='object_detection.protos.FasterRcnn.maxpool_stride', index=18,
number=20, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='second_stage_box_predictor', full_name='object_detection.protos.FasterRcnn.second_stage_box_predictor', index=19,
number=21, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='second_stage_batch_size', full_name='object_detection.protos.FasterRcnn.second_stage_batch_size', index=20,
number=22, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=64,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='second_stage_balance_fraction', full_name='object_detection.protos.FasterRcnn.second_stage_balance_fraction', index=21,
number=23, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.25),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='second_stage_post_processing', full_name='object_detection.protos.FasterRcnn.second_stage_post_processing', index=22,
number=24, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='second_stage_localization_loss_weight', full_name='object_detection.protos.FasterRcnn.second_stage_localization_loss_weight', index=23,
number=25, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='second_stage_classification_loss_weight', full_name='object_detection.protos.FasterRcnn.second_stage_classification_loss_weight', index=24,
number=26, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='second_stage_mask_prediction_loss_weight', full_name='object_detection.protos.FasterRcnn.second_stage_mask_prediction_loss_weight', index=25,
number=27, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hard_example_miner', full_name='object_detection.protos.FasterRcnn.hard_example_miner', index=26,
number=28, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='second_stage_classification_loss', full_name='object_detection.protos.FasterRcnn.second_stage_classification_loss', index=27,
number=29, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='inplace_batchnorm_update', full_name='object_detection.protos.FasterRcnn.inplace_batchnorm_update', index=28,
number=30, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_matmul_crop_and_resize', full_name='object_detection.protos.FasterRcnn.use_matmul_crop_and_resize', index=29,
number=31, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='clip_anchors_to_image', full_name='object_detection.protos.FasterRcnn.clip_anchors_to_image', index=30,
number=32, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_matmul_gather_in_matcher', full_name='object_detection.protos.FasterRcnn.use_matmul_gather_in_matcher', index=31,
number=33, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_static_balanced_label_sampler', full_name='object_detection.protos.FasterRcnn.use_static_balanced_label_sampler', index=32,
number=34, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_static_shapes', full_name='object_detection.protos.FasterRcnn.use_static_shapes', index=33,
number=35, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='resize_masks', full_name='object_detection.protos.FasterRcnn.resize_masks', index=34,
number=36, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_static_shapes_for_eval', full_name='object_detection.protos.FasterRcnn.use_static_shapes_for_eval', index=35,
number=37, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_partitioned_nms_in_first_stage', full_name='object_detection.protos.FasterRcnn.use_partitioned_nms_in_first_stage', index=36,
number=38, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='return_raw_detections_during_predict', full_name='object_detection.protos.FasterRcnn.return_raw_detections_during_predict', index=37,
number=39, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_combined_nms_in_first_stage', full_name='object_detection.protos.FasterRcnn.use_combined_nms_in_first_stage', index=38,
number=40, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='output_final_box_features', full_name='object_detection.protos.FasterRcnn.output_final_box_features', index=39,
number=42, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='context_config', full_name='object_detection.protos.FasterRcnn.context_config', index=40,
number=41, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=337,
serialized_end=2362,
)
_CONTEXT = _descriptor.Descriptor(
name='Context',
full_name='object_detection.protos.Context',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='max_num_context_features', full_name='object_detection.protos.Context.max_num_context_features', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=2000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='attention_bottleneck_dimension', full_name='object_detection.protos.Context.attention_bottleneck_dimension', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=2048,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='attention_temperature', full_name='object_detection.protos.Context.attention_temperature', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.01),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='context_feature_length', full_name='object_detection.protos.Context.context_feature_length', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=2057,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2365,
serialized_end=2535,
)
_FASTERRCNNFEATUREEXTRACTOR = _descriptor.Descriptor(
name='FasterRcnnFeatureExtractor',
full_name='object_detection.protos.FasterRcnnFeatureExtractor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='type', full_name='object_detection.protos.FasterRcnnFeatureExtractor.type', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='first_stage_features_stride', full_name='object_detection.protos.FasterRcnnFeatureExtractor.first_stage_features_stride', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=16,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='batch_norm_trainable', full_name='object_detection.protos.FasterRcnnFeatureExtractor.batch_norm_trainable', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2537,
serialized_end=2657,
)
_FASTERRCNN.fields_by_name['image_resizer'].message_type = object__detection_dot_protos_dot_image__resizer__pb2._IMAGERESIZER
_FASTERRCNN.fields_by_name['feature_extractor'].message_type = _FASTERRCNNFEATUREEXTRACTOR
_FASTERRCNN.fields_by_name['first_stage_anchor_generator'].message_type = object__detection_dot_protos_dot_anchor__generator__pb2._ANCHORGENERATOR
_FASTERRCNN.fields_by_name['first_stage_box_predictor_conv_hyperparams'].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS
_FASTERRCNN.fields_by_name['second_stage_box_predictor'].message_type = object__detection_dot_protos_dot_box__predictor__pb2._BOXPREDICTOR
_FASTERRCNN.fields_by_name['second_stage_post_processing'].message_type = object__detection_dot_protos_dot_post__processing__pb2._POSTPROCESSING
_FASTERRCNN.fields_by_name['hard_example_miner'].message_type = object__detection_dot_protos_dot_losses__pb2._HARDEXAMPLEMINER
_FASTERRCNN.fields_by_name['second_stage_classification_loss'].message_type = object__detection_dot_protos_dot_losses__pb2._CLASSIFICATIONLOSS
_FASTERRCNN.fields_by_name['context_config'].message_type = _CONTEXT
DESCRIPTOR.message_types_by_name['FasterRcnn'] = _FASTERRCNN
DESCRIPTOR.message_types_by_name['Context'] = _CONTEXT
DESCRIPTOR.message_types_by_name['FasterRcnnFeatureExtractor'] = _FASTERRCNNFEATUREEXTRACTOR
FasterRcnn = _reflection.GeneratedProtocolMessageType('FasterRcnn', (_message.Message,), dict(
DESCRIPTOR = _FASTERRCNN,
__module__ = 'object_detection.protos.faster_rcnn_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.FasterRcnn)
))
_sym_db.RegisterMessage(FasterRcnn)
Context = _reflection.GeneratedProtocolMessageType('Context', (_message.Message,), dict(
DESCRIPTOR = _CONTEXT,
__module__ = 'object_detection.protos.faster_rcnn_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Context)
))
_sym_db.RegisterMessage(Context)
FasterRcnnFeatureExtractor = _reflection.GeneratedProtocolMessageType('FasterRcnnFeatureExtractor', (_message.Message,), dict(
DESCRIPTOR = _FASTERRCNNFEATUREEXTRACTOR,
__module__ = 'object_detection.protos.faster_rcnn_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.FasterRcnnFeatureExtractor)
))
_sym_db.RegisterMessage(FasterRcnnFeatureExtractor)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/flexible_grid_anchor_generator_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/flexible_grid_anchor_generator.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/flexible_grid_anchor_generator.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n<object_detection/protos/flexible_grid_anchor_generator.proto\x12\x17object_detection.protos\"|\n\x1b\x46lexibleGridAnchorGenerator\x12\x38\n\x0b\x61nchor_grid\x18\x01 \x03(\x0b\x32#.object_detection.protos.AnchorGrid\x12#\n\x15normalize_coordinates\x18\x02 \x01(\x08:\x04true\"\x97\x01\n\nAnchorGrid\x12\x12\n\nbase_sizes\x18\x01 \x03(\x02\x12\x15\n\raspect_ratios\x18\x02 \x03(\x02\x12\x15\n\rheight_stride\x18\x03 \x01(\r\x12\x14\n\x0cwidth_stride\x18\x04 \x01(\r\x12\x18\n\rheight_offset\x18\x05 \x01(\r:\x01\x30\x12\x17\n\x0cwidth_offset\x18\x06 \x01(\r:\x01\x30')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_FLEXIBLEGRIDANCHORGENERATOR = _descriptor.Descriptor(
name='FlexibleGridAnchorGenerator',
full_name='object_detection.protos.FlexibleGridAnchorGenerator',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='anchor_grid', full_name='object_detection.protos.FlexibleGridAnchorGenerator.anchor_grid', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='normalize_coordinates', full_name='object_detection.protos.FlexibleGridAnchorGenerator.normalize_coordinates', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=89,
serialized_end=213,
)
_ANCHORGRID = _descriptor.Descriptor(
name='AnchorGrid',
full_name='object_detection.protos.AnchorGrid',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base_sizes', full_name='object_detection.protos.AnchorGrid.base_sizes', index=0,
number=1, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='aspect_ratios', full_name='object_detection.protos.AnchorGrid.aspect_ratios', index=1,
number=2, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height_stride', full_name='object_detection.protos.AnchorGrid.height_stride', index=2,
number=3, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width_stride', full_name='object_detection.protos.AnchorGrid.width_stride', index=3,
number=4, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height_offset', full_name='object_detection.protos.AnchorGrid.height_offset', index=4,
number=5, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width_offset', full_name='object_detection.protos.AnchorGrid.width_offset', index=5,
number=6, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=216,
serialized_end=367,
)
_FLEXIBLEGRIDANCHORGENERATOR.fields_by_name['anchor_grid'].message_type = _ANCHORGRID
DESCRIPTOR.message_types_by_name['FlexibleGridAnchorGenerator'] = _FLEXIBLEGRIDANCHORGENERATOR
DESCRIPTOR.message_types_by_name['AnchorGrid'] = _ANCHORGRID
FlexibleGridAnchorGenerator = _reflection.GeneratedProtocolMessageType('FlexibleGridAnchorGenerator', (_message.Message,), dict(
DESCRIPTOR = _FLEXIBLEGRIDANCHORGENERATOR,
__module__ = 'object_detection.protos.flexible_grid_anchor_generator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.FlexibleGridAnchorGenerator)
))
_sym_db.RegisterMessage(FlexibleGridAnchorGenerator)
AnchorGrid = _reflection.GeneratedProtocolMessageType('AnchorGrid', (_message.Message,), dict(
DESCRIPTOR = _ANCHORGRID,
__module__ = 'object_detection.protos.flexible_grid_anchor_generator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.AnchorGrid)
))
_sym_db.RegisterMessage(AnchorGrid)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/graph_rewriter_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/graph_rewriter.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/graph_rewriter.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n,object_detection/protos/graph_rewriter.proto\x12\x17object_detection.protos\"W\n\rGraphRewriter\x12;\n\x0cquantization\x18\x01 \x01(\x0b\x32%.object_detection.protos.Quantization*\t\x08\xe8\x07\x10\x80\x80\x80\x80\x02\"s\n\x0cQuantization\x12\x15\n\x05\x64\x65lay\x18\x01 \x01(\x05:\x06\x35\x30\x30\x30\x30\x30\x12\x16\n\x0bweight_bits\x18\x02 \x01(\x05:\x01\x38\x12\x1a\n\x0f\x61\x63tivation_bits\x18\x03 \x01(\x05:\x01\x38\x12\x18\n\tsymmetric\x18\x04 \x01(\x08:\x05\x66\x61lse')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_GRAPHREWRITER = _descriptor.Descriptor(
name='GraphRewriter',
full_name='object_detection.protos.GraphRewriter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='quantization', full_name='object_detection.protos.GraphRewriter.quantization', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1000, 536870912), ],
oneofs=[
],
serialized_start=73,
serialized_end=160,
)
_QUANTIZATION = _descriptor.Descriptor(
name='Quantization',
full_name='object_detection.protos.Quantization',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='delay', full_name='object_detection.protos.Quantization.delay', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=500000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weight_bits', full_name='object_detection.protos.Quantization.weight_bits', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=8,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='activation_bits', full_name='object_detection.protos.Quantization.activation_bits', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=8,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='symmetric', full_name='object_detection.protos.Quantization.symmetric', index=3,
number=4, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=162,
serialized_end=277,
)
_GRAPHREWRITER.fields_by_name['quantization'].message_type = _QUANTIZATION
DESCRIPTOR.message_types_by_name['GraphRewriter'] = _GRAPHREWRITER
DESCRIPTOR.message_types_by_name['Quantization'] = _QUANTIZATION
GraphRewriter = _reflection.GeneratedProtocolMessageType('GraphRewriter', (_message.Message,), dict(
DESCRIPTOR = _GRAPHREWRITER,
__module__ = 'object_detection.protos.graph_rewriter_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.GraphRewriter)
))
_sym_db.RegisterMessage(GraphRewriter)
Quantization = _reflection.GeneratedProtocolMessageType('Quantization', (_message.Message,), dict(
DESCRIPTOR = _QUANTIZATION,
__module__ = 'object_detection.protos.graph_rewriter_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Quantization)
))
_sym_db.RegisterMessage(Quantization)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/grid_anchor_generator_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/grid_anchor_generator.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/grid_anchor_generator.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n3object_detection/protos/grid_anchor_generator.proto\x12\x17object_detection.protos\"\xcd\x01\n\x13GridAnchorGenerator\x12\x13\n\x06height\x18\x01 \x01(\x05:\x03\x32\x35\x36\x12\x12\n\x05width\x18\x02 \x01(\x05:\x03\x32\x35\x36\x12\x19\n\rheight_stride\x18\x03 \x01(\x05:\x02\x31\x36\x12\x18\n\x0cwidth_stride\x18\x04 \x01(\x05:\x02\x31\x36\x12\x18\n\rheight_offset\x18\x05 \x01(\x05:\x01\x30\x12\x17\n\x0cwidth_offset\x18\x06 \x01(\x05:\x01\x30\x12\x0e\n\x06scales\x18\x07 \x03(\x02\x12\x15\n\raspect_ratios\x18\x08 \x03(\x02')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_GRIDANCHORGENERATOR = _descriptor.Descriptor(
name='GridAnchorGenerator',
full_name='object_detection.protos.GridAnchorGenerator',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='height', full_name='object_detection.protos.GridAnchorGenerator.height', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=256,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width', full_name='object_detection.protos.GridAnchorGenerator.width', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=256,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height_stride', full_name='object_detection.protos.GridAnchorGenerator.height_stride', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=16,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width_stride', full_name='object_detection.protos.GridAnchorGenerator.width_stride', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=16,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height_offset', full_name='object_detection.protos.GridAnchorGenerator.height_offset', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width_offset', full_name='object_detection.protos.GridAnchorGenerator.width_offset', index=5,
number=6, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scales', full_name='object_detection.protos.GridAnchorGenerator.scales', index=6,
number=7, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='aspect_ratios', full_name='object_detection.protos.GridAnchorGenerator.aspect_ratios', index=7,
number=8, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=81,
serialized_end=286,
)
DESCRIPTOR.message_types_by_name['GridAnchorGenerator'] = _GRIDANCHORGENERATOR
GridAnchorGenerator = _reflection.GeneratedProtocolMessageType('GridAnchorGenerator', (_message.Message,), dict(
DESCRIPTOR = _GRIDANCHORGENERATOR,
__module__ = 'object_detection.protos.grid_anchor_generator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.GridAnchorGenerator)
))
_sym_db.RegisterMessage(GridAnchorGenerator)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/hyperparams_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/hyperparams.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/hyperparams.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n)object_detection/protos/hyperparams.proto\x12\x17object_detection.protos\"\xa6\x04\n\x0bHyperparams\x12\x39\n\x02op\x18\x01 \x01(\x0e\x32\'.object_detection.protos.Hyperparams.Op:\x04\x43ONV\x12\x39\n\x0bregularizer\x18\x02 \x01(\x0b\x32$.object_detection.protos.Regularizer\x12\x39\n\x0binitializer\x18\x03 \x01(\x0b\x32$.object_detection.protos.Initializer\x12I\n\nactivation\x18\x04 \x01(\x0e\x32/.object_detection.protos.Hyperparams.Activation:\x04RELU\x12\x38\n\nbatch_norm\x18\x05 \x01(\x0b\x32\".object_detection.protos.BatchNormH\x00\x12\x38\n\ngroup_norm\x18\x07 \x01(\x0b\x32\".object_detection.protos.GroupNormH\x00\x12#\n\x14regularize_depthwise\x18\x06 \x01(\x08:\x05\x66\x61lse\x12\x1d\n\x0e\x66orce_use_bias\x18\x08 \x01(\x08:\x05\x66\x61lse\"\x16\n\x02Op\x12\x08\n\x04\x43ONV\x10\x01\x12\x06\n\x02\x46\x43\x10\x02\"7\n\nActivation\x12\x08\n\x04NONE\x10\x00\x12\x08\n\x04RELU\x10\x01\x12\n\n\x06RELU_6\x10\x02\x12\t\n\x05SWISH\x10\x03\x42\x12\n\x10normalizer_oneof\"\xa6\x01\n\x0bRegularizer\x12@\n\x0el1_regularizer\x18\x01 \x01(\x0b\x32&.object_detection.protos.L1RegularizerH\x00\x12@\n\x0el2_regularizer\x18\x02 \x01(\x0b\x32&.object_detection.protos.L2RegularizerH\x00\x42\x13\n\x11regularizer_oneof\"\"\n\rL1Regularizer\x12\x11\n\x06weight\x18\x01 \x01(\x02:\x01\x31\"\"\n\rL2Regularizer\x12\x11\n\x06weight\x18\x01 \x01(\x02:\x01\x31\"\xb3\x02\n\x0bInitializer\x12[\n\x1ctruncated_normal_initializer\x18\x01 \x01(\x0b\x32\x33.object_detection.protos.TruncatedNormalInitializerH\x00\x12[\n\x1cvariance_scaling_initializer\x18\x02 \x01(\x0b\x32\x33.object_detection.protos.VarianceScalingInitializerH\x00\x12U\n\x19random_normal_initializer\x18\x03 \x01(\x0b\x32\x30.object_detection.protos.RandomNormalInitializerH\x00\x42\x13\n\x11initializer_oneof\"@\n\x1aTruncatedNormalInitializer\x12\x0f\n\x04mean\x18\x01 \x01(\x02:\x01\x30\x12\x11\n\x06stddev\x18\x02 \x01(\x02:\x01\x31\"\xc5\x01\n\x1aVarianceScalingInitializer\x12\x11\n\x06\x66\x61\x63tor\x18\x01 \x01(\x02:\x01\x32\x12\x16\n\x07uniform\x18\x02 \x01(\x08:\x05\x66\x61lse\x12N\n\x04mode\x18\x03 \x01(\x0e\x32\x38.object_detection.protos.VarianceScalingInitializer.Mode:\x06\x46\x41N_IN\",\n\x04Mode\x12\n\n\x06\x46\x41N_IN\x10\x00\x12\x0b\n\x07\x46\x41N_OUT\x10\x01\x12\x0b\n\x07\x46\x41N_AVG\x10\x02\"=\n\x17RandomNormalInitializer\x12\x0f\n\x04mean\x18\x01 \x01(\x02:\x01\x30\x12\x11\n\x06stddev\x18\x02 \x01(\x02:\x01\x31\"z\n\tBatchNorm\x12\x14\n\x05\x64\x65\x63\x61y\x18\x01 \x01(\x02:\x05\x30.999\x12\x14\n\x06\x63\x65nter\x18\x02 \x01(\x08:\x04true\x12\x14\n\x05scale\x18\x03 \x01(\x08:\x05\x66\x61lse\x12\x16\n\x07\x65psilon\x18\x04 \x01(\x02:\x05\x30.001\x12\x13\n\x05train\x18\x05 \x01(\x08:\x04true\"\x0b\n\tGroupNorm')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_HYPERPARAMS_OP = _descriptor.EnumDescriptor(
name='Op',
full_name='object_detection.protos.Hyperparams.Op',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='CONV', index=0, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FC', index=1, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=522,
serialized_end=544,
)
_sym_db.RegisterEnumDescriptor(_HYPERPARAMS_OP)
_HYPERPARAMS_ACTIVATION = _descriptor.EnumDescriptor(
name='Activation',
full_name='object_detection.protos.Hyperparams.Activation',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='NONE', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='RELU', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='RELU_6', index=2, number=2,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SWISH', index=3, number=3,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=546,
serialized_end=601,
)
_sym_db.RegisterEnumDescriptor(_HYPERPARAMS_ACTIVATION)
_VARIANCESCALINGINITIALIZER_MODE = _descriptor.EnumDescriptor(
name='Mode',
full_name='object_detection.protos.VarianceScalingInitializer.Mode',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='FAN_IN', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FAN_OUT', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FAN_AVG', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1394,
serialized_end=1438,
)
_sym_db.RegisterEnumDescriptor(_VARIANCESCALINGINITIALIZER_MODE)
_HYPERPARAMS = _descriptor.Descriptor(
name='Hyperparams',
full_name='object_detection.protos.Hyperparams',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='op', full_name='object_detection.protos.Hyperparams.op', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='regularizer', full_name='object_detection.protos.Hyperparams.regularizer', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='initializer', full_name='object_detection.protos.Hyperparams.initializer', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='activation', full_name='object_detection.protos.Hyperparams.activation', index=3,
number=4, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='batch_norm', full_name='object_detection.protos.Hyperparams.batch_norm', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='group_norm', full_name='object_detection.protos.Hyperparams.group_norm', index=5,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='regularize_depthwise', full_name='object_detection.protos.Hyperparams.regularize_depthwise', index=6,
number=6, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='force_use_bias', full_name='object_detection.protos.Hyperparams.force_use_bias', index=7,
number=8, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_HYPERPARAMS_OP,
_HYPERPARAMS_ACTIVATION,
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='normalizer_oneof', full_name='object_detection.protos.Hyperparams.normalizer_oneof',
index=0, containing_type=None, fields=[]),
],
serialized_start=71,
serialized_end=621,
)
_REGULARIZER = _descriptor.Descriptor(
name='Regularizer',
full_name='object_detection.protos.Regularizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='l1_regularizer', full_name='object_detection.protos.Regularizer.l1_regularizer', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='l2_regularizer', full_name='object_detection.protos.Regularizer.l2_regularizer', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='regularizer_oneof', full_name='object_detection.protos.Regularizer.regularizer_oneof',
index=0, containing_type=None, fields=[]),
],
serialized_start=624,
serialized_end=790,
)
_L1REGULARIZER = _descriptor.Descriptor(
name='L1Regularizer',
full_name='object_detection.protos.L1Regularizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='weight', full_name='object_detection.protos.L1Regularizer.weight', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=792,
serialized_end=826,
)
_L2REGULARIZER = _descriptor.Descriptor(
name='L2Regularizer',
full_name='object_detection.protos.L2Regularizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='weight', full_name='object_detection.protos.L2Regularizer.weight', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=828,
serialized_end=862,
)
_INITIALIZER = _descriptor.Descriptor(
name='Initializer',
full_name='object_detection.protos.Initializer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='truncated_normal_initializer', full_name='object_detection.protos.Initializer.truncated_normal_initializer', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='variance_scaling_initializer', full_name='object_detection.protos.Initializer.variance_scaling_initializer', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='random_normal_initializer', full_name='object_detection.protos.Initializer.random_normal_initializer', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='initializer_oneof', full_name='object_detection.protos.Initializer.initializer_oneof',
index=0, containing_type=None, fields=[]),
],
serialized_start=865,
serialized_end=1172,
)
_TRUNCATEDNORMALINITIALIZER = _descriptor.Descriptor(
name='TruncatedNormalInitializer',
full_name='object_detection.protos.TruncatedNormalInitializer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='mean', full_name='object_detection.protos.TruncatedNormalInitializer.mean', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stddev', full_name='object_detection.protos.TruncatedNormalInitializer.stddev', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1174,
serialized_end=1238,
)
_VARIANCESCALINGINITIALIZER = _descriptor.Descriptor(
name='VarianceScalingInitializer',
full_name='object_detection.protos.VarianceScalingInitializer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='factor', full_name='object_detection.protos.VarianceScalingInitializer.factor', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(2),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='uniform', full_name='object_detection.protos.VarianceScalingInitializer.uniform', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mode', full_name='object_detection.protos.VarianceScalingInitializer.mode', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_VARIANCESCALINGINITIALIZER_MODE,
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1241,
serialized_end=1438,
)
_RANDOMNORMALINITIALIZER = _descriptor.Descriptor(
name='RandomNormalInitializer',
full_name='object_detection.protos.RandomNormalInitializer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='mean', full_name='object_detection.protos.RandomNormalInitializer.mean', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stddev', full_name='object_detection.protos.RandomNormalInitializer.stddev', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1440,
serialized_end=1501,
)
_BATCHNORM = _descriptor.Descriptor(
name='BatchNorm',
full_name='object_detection.protos.BatchNorm',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='decay', full_name='object_detection.protos.BatchNorm.decay', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.999),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='center', full_name='object_detection.protos.BatchNorm.center', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale', full_name='object_detection.protos.BatchNorm.scale', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='epsilon', full_name='object_detection.protos.BatchNorm.epsilon', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.001),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='train', full_name='object_detection.protos.BatchNorm.train', index=4,
number=5, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1503,
serialized_end=1625,
)
_GROUPNORM = _descriptor.Descriptor(
name='GroupNorm',
full_name='object_detection.protos.GroupNorm',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1627,
serialized_end=1638,
)
_HYPERPARAMS.fields_by_name['op'].enum_type = _HYPERPARAMS_OP
_HYPERPARAMS.fields_by_name['regularizer'].message_type = _REGULARIZER
_HYPERPARAMS.fields_by_name['initializer'].message_type = _INITIALIZER
_HYPERPARAMS.fields_by_name['activation'].enum_type = _HYPERPARAMS_ACTIVATION
_HYPERPARAMS.fields_by_name['batch_norm'].message_type = _BATCHNORM
_HYPERPARAMS.fields_by_name['group_norm'].message_type = _GROUPNORM
_HYPERPARAMS_OP.containing_type = _HYPERPARAMS
_HYPERPARAMS_ACTIVATION.containing_type = _HYPERPARAMS
_HYPERPARAMS.oneofs_by_name['normalizer_oneof'].fields.append(
_HYPERPARAMS.fields_by_name['batch_norm'])
_HYPERPARAMS.fields_by_name['batch_norm'].containing_oneof = _HYPERPARAMS.oneofs_by_name['normalizer_oneof']
_HYPERPARAMS.oneofs_by_name['normalizer_oneof'].fields.append(
_HYPERPARAMS.fields_by_name['group_norm'])
_HYPERPARAMS.fields_by_name['group_norm'].containing_oneof = _HYPERPARAMS.oneofs_by_name['normalizer_oneof']
_REGULARIZER.fields_by_name['l1_regularizer'].message_type = _L1REGULARIZER
_REGULARIZER.fields_by_name['l2_regularizer'].message_type = _L2REGULARIZER
_REGULARIZER.oneofs_by_name['regularizer_oneof'].fields.append(
_REGULARIZER.fields_by_name['l1_regularizer'])
_REGULARIZER.fields_by_name['l1_regularizer'].containing_oneof = _REGULARIZER.oneofs_by_name['regularizer_oneof']
_REGULARIZER.oneofs_by_name['regularizer_oneof'].fields.append(
_REGULARIZER.fields_by_name['l2_regularizer'])
_REGULARIZER.fields_by_name['l2_regularizer'].containing_oneof = _REGULARIZER.oneofs_by_name['regularizer_oneof']
_INITIALIZER.fields_by_name['truncated_normal_initializer'].message_type = _TRUNCATEDNORMALINITIALIZER
_INITIALIZER.fields_by_name['variance_scaling_initializer'].message_type = _VARIANCESCALINGINITIALIZER
_INITIALIZER.fields_by_name['random_normal_initializer'].message_type = _RANDOMNORMALINITIALIZER
_INITIALIZER.oneofs_by_name['initializer_oneof'].fields.append(
_INITIALIZER.fields_by_name['truncated_normal_initializer'])
_INITIALIZER.fields_by_name['truncated_normal_initializer'].containing_oneof = _INITIALIZER.oneofs_by_name['initializer_oneof']
_INITIALIZER.oneofs_by_name['initializer_oneof'].fields.append(
_INITIALIZER.fields_by_name['variance_scaling_initializer'])
_INITIALIZER.fields_by_name['variance_scaling_initializer'].containing_oneof = _INITIALIZER.oneofs_by_name['initializer_oneof']
_INITIALIZER.oneofs_by_name['initializer_oneof'].fields.append(
_INITIALIZER.fields_by_name['random_normal_initializer'])
_INITIALIZER.fields_by_name['random_normal_initializer'].containing_oneof = _INITIALIZER.oneofs_by_name['initializer_oneof']
_VARIANCESCALINGINITIALIZER.fields_by_name['mode'].enum_type = _VARIANCESCALINGINITIALIZER_MODE
_VARIANCESCALINGINITIALIZER_MODE.containing_type = _VARIANCESCALINGINITIALIZER
DESCRIPTOR.message_types_by_name['Hyperparams'] = _HYPERPARAMS
DESCRIPTOR.message_types_by_name['Regularizer'] = _REGULARIZER
DESCRIPTOR.message_types_by_name['L1Regularizer'] = _L1REGULARIZER
DESCRIPTOR.message_types_by_name['L2Regularizer'] = _L2REGULARIZER
DESCRIPTOR.message_types_by_name['Initializer'] = _INITIALIZER
DESCRIPTOR.message_types_by_name['TruncatedNormalInitializer'] = _TRUNCATEDNORMALINITIALIZER
DESCRIPTOR.message_types_by_name['VarianceScalingInitializer'] = _VARIANCESCALINGINITIALIZER
DESCRIPTOR.message_types_by_name['RandomNormalInitializer'] = _RANDOMNORMALINITIALIZER
DESCRIPTOR.message_types_by_name['BatchNorm'] = _BATCHNORM
DESCRIPTOR.message_types_by_name['GroupNorm'] = _GROUPNORM
Hyperparams = _reflection.GeneratedProtocolMessageType('Hyperparams', (_message.Message,), dict(
DESCRIPTOR = _HYPERPARAMS,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Hyperparams)
))
_sym_db.RegisterMessage(Hyperparams)
Regularizer = _reflection.GeneratedProtocolMessageType('Regularizer', (_message.Message,), dict(
DESCRIPTOR = _REGULARIZER,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Regularizer)
))
_sym_db.RegisterMessage(Regularizer)
L1Regularizer = _reflection.GeneratedProtocolMessageType('L1Regularizer', (_message.Message,), dict(
DESCRIPTOR = _L1REGULARIZER,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.L1Regularizer)
))
_sym_db.RegisterMessage(L1Regularizer)
L2Regularizer = _reflection.GeneratedProtocolMessageType('L2Regularizer', (_message.Message,), dict(
DESCRIPTOR = _L2REGULARIZER,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.L2Regularizer)
))
_sym_db.RegisterMessage(L2Regularizer)
Initializer = _reflection.GeneratedProtocolMessageType('Initializer', (_message.Message,), dict(
DESCRIPTOR = _INITIALIZER,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Initializer)
))
_sym_db.RegisterMessage(Initializer)
TruncatedNormalInitializer = _reflection.GeneratedProtocolMessageType('TruncatedNormalInitializer', (_message.Message,), dict(
DESCRIPTOR = _TRUNCATEDNORMALINITIALIZER,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.TruncatedNormalInitializer)
))
_sym_db.RegisterMessage(TruncatedNormalInitializer)
VarianceScalingInitializer = _reflection.GeneratedProtocolMessageType('VarianceScalingInitializer', (_message.Message,), dict(
DESCRIPTOR = _VARIANCESCALINGINITIALIZER,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.VarianceScalingInitializer)
))
_sym_db.RegisterMessage(VarianceScalingInitializer)
RandomNormalInitializer = _reflection.GeneratedProtocolMessageType('RandomNormalInitializer', (_message.Message,), dict(
DESCRIPTOR = _RANDOMNORMALINITIALIZER,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomNormalInitializer)
))
_sym_db.RegisterMessage(RandomNormalInitializer)
BatchNorm = _reflection.GeneratedProtocolMessageType('BatchNorm', (_message.Message,), dict(
DESCRIPTOR = _BATCHNORM,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.BatchNorm)
))
_sym_db.RegisterMessage(BatchNorm)
GroupNorm = _reflection.GeneratedProtocolMessageType('GroupNorm', (_message.Message,), dict(
DESCRIPTOR = _GROUPNORM,
__module__ = 'object_detection.protos.hyperparams_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.GroupNorm)
))
_sym_db.RegisterMessage(GroupNorm)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/image_resizer_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/image_resizer.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/image_resizer.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n+object_detection/protos/image_resizer.proto\x12\x17object_detection.protos\"\xb5\x03\n\x0cImageResizer\x12T\n\x19keep_aspect_ratio_resizer\x18\x01 \x01(\x0b\x32/.object_detection.protos.KeepAspectRatioResizerH\x00\x12I\n\x13\x66ixed_shape_resizer\x18\x02 \x01(\x0b\x32*.object_detection.protos.FixedShapeResizerH\x00\x12\x44\n\x10identity_resizer\x18\x03 \x01(\x0b\x32(.object_detection.protos.IdentityResizerH\x00\x12U\n\x19\x63onditional_shape_resizer\x18\x04 \x01(\x0b\x32\x30.object_detection.protos.ConditionalShapeResizerH\x00\x12P\n\x17pad_to_multiple_resizer\x18\x05 \x01(\x0b\x32-.object_detection.protos.PadToMultipleResizerH\x00\x42\x15\n\x13image_resizer_oneof\"\x11\n\x0fIdentityResizer\"\x80\x02\n\x16KeepAspectRatioResizer\x12\x1a\n\rmin_dimension\x18\x01 \x01(\x05:\x03\x36\x30\x30\x12\x1b\n\rmax_dimension\x18\x02 \x01(\x05:\x04\x31\x30\x32\x34\x12\x44\n\rresize_method\x18\x03 \x01(\x0e\x32#.object_detection.protos.ResizeType:\x08\x42ILINEAR\x12#\n\x14pad_to_max_dimension\x18\x04 \x01(\x08:\x05\x66\x61lse\x12#\n\x14\x63onvert_to_grayscale\x18\x05 \x01(\x08:\x05\x66\x61lse\x12\x1d\n\x15per_channel_pad_value\x18\x06 \x03(\x02\"\xa7\x01\n\x11\x46ixedShapeResizer\x12\x13\n\x06height\x18\x01 \x01(\x05:\x03\x33\x30\x30\x12\x12\n\x05width\x18\x02 \x01(\x05:\x03\x33\x30\x30\x12\x44\n\rresize_method\x18\x03 \x01(\x0e\x32#.object_detection.protos.ResizeType:\x08\x42ILINEAR\x12#\n\x14\x63onvert_to_grayscale\x18\x04 \x01(\x08:\x05\x66\x61lse\"\xb9\x02\n\x17\x43onditionalShapeResizer\x12\\\n\tcondition\x18\x01 \x01(\x0e\x32@.object_detection.protos.ConditionalShapeResizer.ResizeCondition:\x07GREATER\x12\x1b\n\x0esize_threshold\x18\x02 \x01(\x05:\x03\x33\x30\x30\x12\x44\n\rresize_method\x18\x03 \x01(\x0e\x32#.object_detection.protos.ResizeType:\x08\x42ILINEAR\x12#\n\x14\x63onvert_to_grayscale\x18\x04 \x01(\x08:\x05\x66\x61lse\"8\n\x0fResizeCondition\x12\x0b\n\x07INVALID\x10\x00\x12\x0b\n\x07GREATER\x10\x01\x12\x0b\n\x07SMALLER\x10\x02\"P\n\x14PadToMultipleResizer\x12\x13\n\x08multiple\x18\x01 \x01(\x05:\x01\x31\x12#\n\x14\x63onvert_to_grayscale\x18\x04 \x01(\x08:\x05\x66\x61lse*G\n\nResizeType\x12\x0c\n\x08\x42ILINEAR\x10\x00\x12\x14\n\x10NEAREST_NEIGHBOR\x10\x01\x12\x0b\n\x07\x42ICUBIC\x10\x02\x12\x08\n\x04\x41REA\x10\x03')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_RESIZETYPE = _descriptor.EnumDescriptor(
name='ResizeType',
full_name='object_detection.protos.ResizeType',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='BILINEAR', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NEAREST_NEIGHBOR', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BICUBIC', index=2, number=2,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='AREA', index=3, number=3,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1358,
serialized_end=1429,
)
_sym_db.RegisterEnumDescriptor(_RESIZETYPE)
ResizeType = enum_type_wrapper.EnumTypeWrapper(_RESIZETYPE)
BILINEAR = 0
NEAREST_NEIGHBOR = 1
BICUBIC = 2
AREA = 3
_CONDITIONALSHAPERESIZER_RESIZECONDITION = _descriptor.EnumDescriptor(
name='ResizeCondition',
full_name='object_detection.protos.ConditionalShapeResizer.ResizeCondition',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='INVALID', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='GREATER', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SMALLER', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1218,
serialized_end=1274,
)
_sym_db.RegisterEnumDescriptor(_CONDITIONALSHAPERESIZER_RESIZECONDITION)
_IMAGERESIZER = _descriptor.Descriptor(
name='ImageResizer',
full_name='object_detection.protos.ImageResizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='keep_aspect_ratio_resizer', full_name='object_detection.protos.ImageResizer.keep_aspect_ratio_resizer', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='fixed_shape_resizer', full_name='object_detection.protos.ImageResizer.fixed_shape_resizer', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='identity_resizer', full_name='object_detection.protos.ImageResizer.identity_resizer', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='conditional_shape_resizer', full_name='object_detection.protos.ImageResizer.conditional_shape_resizer', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pad_to_multiple_resizer', full_name='object_detection.protos.ImageResizer.pad_to_multiple_resizer', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='image_resizer_oneof', full_name='object_detection.protos.ImageResizer.image_resizer_oneof',
index=0, containing_type=None, fields=[]),
],
serialized_start=73,
serialized_end=510,
)
_IDENTITYRESIZER = _descriptor.Descriptor(
name='IdentityResizer',
full_name='object_detection.protos.IdentityResizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=512,
serialized_end=529,
)
_KEEPASPECTRATIORESIZER = _descriptor.Descriptor(
name='KeepAspectRatioResizer',
full_name='object_detection.protos.KeepAspectRatioResizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_dimension', full_name='object_detection.protos.KeepAspectRatioResizer.min_dimension', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=600,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_dimension', full_name='object_detection.protos.KeepAspectRatioResizer.max_dimension', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1024,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='resize_method', full_name='object_detection.protos.KeepAspectRatioResizer.resize_method', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pad_to_max_dimension', full_name='object_detection.protos.KeepAspectRatioResizer.pad_to_max_dimension', index=3,
number=4, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='convert_to_grayscale', full_name='object_detection.protos.KeepAspectRatioResizer.convert_to_grayscale', index=4,
number=5, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='per_channel_pad_value', full_name='object_detection.protos.KeepAspectRatioResizer.per_channel_pad_value', index=5,
number=6, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=532,
serialized_end=788,
)
_FIXEDSHAPERESIZER = _descriptor.Descriptor(
name='FixedShapeResizer',
full_name='object_detection.protos.FixedShapeResizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='height', full_name='object_detection.protos.FixedShapeResizer.height', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=300,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width', full_name='object_detection.protos.FixedShapeResizer.width', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=300,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='resize_method', full_name='object_detection.protos.FixedShapeResizer.resize_method', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='convert_to_grayscale', full_name='object_detection.protos.FixedShapeResizer.convert_to_grayscale', index=3,
number=4, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=791,
serialized_end=958,
)
_CONDITIONALSHAPERESIZER = _descriptor.Descriptor(
name='ConditionalShapeResizer',
full_name='object_detection.protos.ConditionalShapeResizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='condition', full_name='object_detection.protos.ConditionalShapeResizer.condition', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='size_threshold', full_name='object_detection.protos.ConditionalShapeResizer.size_threshold', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=300,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='resize_method', full_name='object_detection.protos.ConditionalShapeResizer.resize_method', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='convert_to_grayscale', full_name='object_detection.protos.ConditionalShapeResizer.convert_to_grayscale', index=3,
number=4, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_CONDITIONALSHAPERESIZER_RESIZECONDITION,
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=961,
serialized_end=1274,
)
_PADTOMULTIPLERESIZER = _descriptor.Descriptor(
name='PadToMultipleResizer',
full_name='object_detection.protos.PadToMultipleResizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='multiple', full_name='object_detection.protos.PadToMultipleResizer.multiple', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='convert_to_grayscale', full_name='object_detection.protos.PadToMultipleResizer.convert_to_grayscale', index=1,
number=4, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1276,
serialized_end=1356,
)
_IMAGERESIZER.fields_by_name['keep_aspect_ratio_resizer'].message_type = _KEEPASPECTRATIORESIZER
_IMAGERESIZER.fields_by_name['fixed_shape_resizer'].message_type = _FIXEDSHAPERESIZER
_IMAGERESIZER.fields_by_name['identity_resizer'].message_type = _IDENTITYRESIZER
_IMAGERESIZER.fields_by_name['conditional_shape_resizer'].message_type = _CONDITIONALSHAPERESIZER
_IMAGERESIZER.fields_by_name['pad_to_multiple_resizer'].message_type = _PADTOMULTIPLERESIZER
_IMAGERESIZER.oneofs_by_name['image_resizer_oneof'].fields.append(
_IMAGERESIZER.fields_by_name['keep_aspect_ratio_resizer'])
_IMAGERESIZER.fields_by_name['keep_aspect_ratio_resizer'].containing_oneof = _IMAGERESIZER.oneofs_by_name['image_resizer_oneof']
_IMAGERESIZER.oneofs_by_name['image_resizer_oneof'].fields.append(
_IMAGERESIZER.fields_by_name['fixed_shape_resizer'])
_IMAGERESIZER.fields_by_name['fixed_shape_resizer'].containing_oneof = _IMAGERESIZER.oneofs_by_name['image_resizer_oneof']
_IMAGERESIZER.oneofs_by_name['image_resizer_oneof'].fields.append(
_IMAGERESIZER.fields_by_name['identity_resizer'])
_IMAGERESIZER.fields_by_name['identity_resizer'].containing_oneof = _IMAGERESIZER.oneofs_by_name['image_resizer_oneof']
_IMAGERESIZER.oneofs_by_name['image_resizer_oneof'].fields.append(
_IMAGERESIZER.fields_by_name['conditional_shape_resizer'])
_IMAGERESIZER.fields_by_name['conditional_shape_resizer'].containing_oneof = _IMAGERESIZER.oneofs_by_name['image_resizer_oneof']
_IMAGERESIZER.oneofs_by_name['image_resizer_oneof'].fields.append(
_IMAGERESIZER.fields_by_name['pad_to_multiple_resizer'])
_IMAGERESIZER.fields_by_name['pad_to_multiple_resizer'].containing_oneof = _IMAGERESIZER.oneofs_by_name['image_resizer_oneof']
_KEEPASPECTRATIORESIZER.fields_by_name['resize_method'].enum_type = _RESIZETYPE
_FIXEDSHAPERESIZER.fields_by_name['resize_method'].enum_type = _RESIZETYPE
_CONDITIONALSHAPERESIZER.fields_by_name['condition'].enum_type = _CONDITIONALSHAPERESIZER_RESIZECONDITION
_CONDITIONALSHAPERESIZER.fields_by_name['resize_method'].enum_type = _RESIZETYPE
_CONDITIONALSHAPERESIZER_RESIZECONDITION.containing_type = _CONDITIONALSHAPERESIZER
DESCRIPTOR.message_types_by_name['ImageResizer'] = _IMAGERESIZER
DESCRIPTOR.message_types_by_name['IdentityResizer'] = _IDENTITYRESIZER
DESCRIPTOR.message_types_by_name['KeepAspectRatioResizer'] = _KEEPASPECTRATIORESIZER
DESCRIPTOR.message_types_by_name['FixedShapeResizer'] = _FIXEDSHAPERESIZER
DESCRIPTOR.message_types_by_name['ConditionalShapeResizer'] = _CONDITIONALSHAPERESIZER
DESCRIPTOR.message_types_by_name['PadToMultipleResizer'] = _PADTOMULTIPLERESIZER
DESCRIPTOR.enum_types_by_name['ResizeType'] = _RESIZETYPE
ImageResizer = _reflection.GeneratedProtocolMessageType('ImageResizer', (_message.Message,), dict(
DESCRIPTOR = _IMAGERESIZER,
__module__ = 'object_detection.protos.image_resizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ImageResizer)
))
_sym_db.RegisterMessage(ImageResizer)
IdentityResizer = _reflection.GeneratedProtocolMessageType('IdentityResizer', (_message.Message,), dict(
DESCRIPTOR = _IDENTITYRESIZER,
__module__ = 'object_detection.protos.image_resizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.IdentityResizer)
))
_sym_db.RegisterMessage(IdentityResizer)
KeepAspectRatioResizer = _reflection.GeneratedProtocolMessageType('KeepAspectRatioResizer', (_message.Message,), dict(
DESCRIPTOR = _KEEPASPECTRATIORESIZER,
__module__ = 'object_detection.protos.image_resizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.KeepAspectRatioResizer)
))
_sym_db.RegisterMessage(KeepAspectRatioResizer)
FixedShapeResizer = _reflection.GeneratedProtocolMessageType('FixedShapeResizer', (_message.Message,), dict(
DESCRIPTOR = _FIXEDSHAPERESIZER,
__module__ = 'object_detection.protos.image_resizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.FixedShapeResizer)
))
_sym_db.RegisterMessage(FixedShapeResizer)
ConditionalShapeResizer = _reflection.GeneratedProtocolMessageType('ConditionalShapeResizer', (_message.Message,), dict(
DESCRIPTOR = _CONDITIONALSHAPERESIZER,
__module__ = 'object_detection.protos.image_resizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ConditionalShapeResizer)
))
_sym_db.RegisterMessage(ConditionalShapeResizer)
PadToMultipleResizer = _reflection.GeneratedProtocolMessageType('PadToMultipleResizer', (_message.Message,), dict(
DESCRIPTOR = _PADTOMULTIPLERESIZER,
__module__ = 'object_detection.protos.image_resizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.PadToMultipleResizer)
))
_sym_db.RegisterMessage(PadToMultipleResizer)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/input_reader_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/input_reader.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from object_detection.protos import image_resizer_pb2 as object__detection_dot_protos_dot_image__resizer__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/input_reader.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n*object_detection/protos/input_reader.proto\x12\x17object_detection.protos\x1a+object_detection/protos/image_resizer.proto\"\x9c\t\n\x0bInputReader\x12\x0e\n\x04name\x18\x17 \x01(\t:\x00\x12\x18\n\x0elabel_map_path\x18\x01 \x01(\t:\x00\x12\x15\n\x07shuffle\x18\x02 \x01(\x08:\x04true\x12!\n\x13shuffle_buffer_size\x18\x0b \x01(\r:\x04\x32\x30\x34\x38\x12*\n\x1d\x66ilenames_shuffle_buffer_size\x18\x0c \x01(\r:\x03\x31\x30\x30\x12\x15\n\nnum_epochs\x18\x05 \x01(\r:\x01\x30\x12!\n\x16sample_1_of_n_examples\x18\x16 \x01(\r:\x01\x31\x12\x17\n\x0bnum_readers\x18\x06 \x01(\r:\x02\x36\x34\x12\x1f\n\x14num_parallel_batches\x18\x13 \x01(\r:\x01\x38\x12\x1f\n\x14num_prefetch_batches\x18\x14 \x01(\x05:\x01\x32\x12 \n\x0equeue_capacity\x18\x03 \x01(\r:\x04\x32\x30\x30\x30\x42\x02\x18\x01\x12#\n\x11min_after_dequeue\x18\x04 \x01(\r:\x04\x31\x30\x30\x30\x42\x02\x18\x01\x12\x1d\n\x11read_block_length\x18\x0f \x01(\r:\x02\x33\x32\x12\x1e\n\rprefetch_size\x18\r \x01(\r:\x03\x35\x31\x32\x42\x02\x18\x01\x12&\n\x16num_parallel_map_calls\x18\x0e \x01(\r:\x02\x36\x34\x42\x02\x18\x01\x12\"\n\x17num_additional_channels\x18\x12 \x01(\x05:\x01\x30\x12\x18\n\rnum_keypoints\x18\x10 \x01(\r:\x01\x30\x12\x1c\n\x14keypoint_type_weight\x18\x1a \x03(\x02\x12 \n\x13max_number_of_boxes\x18\x15 \x01(\x05:\x03\x31\x30\x30\x12%\n\x16load_multiclass_scores\x18\x18 \x01(\x08:\x05\x66\x61lse\x12$\n\x15load_context_features\x18\x19 \x01(\x08:\x05\x66\x61lse\x12\"\n\x13load_instance_masks\x18\x07 \x01(\x08:\x05\x66\x61lse\x12M\n\tmask_type\x18\n \x01(\x0e\x32).object_detection.protos.InstanceMaskType:\x0fNUMERICAL_MASKS\x12\x1e\n\x0fload_dense_pose\x18\x1f \x01(\x08:\x05\x66\x61lse\x12\x1f\n\x10use_display_name\x18\x11 \x01(\x08:\x05\x66\x61lse\x12 \n\x11include_source_id\x18\x1b \x01(\x08:\x05\x66\x61lse\x12\x42\n\ninput_type\x18\x1e \x01(\x0e\x32\".object_detection.protos.InputType:\nTF_EXAMPLE\x12N\n\x16tf_record_input_reader\x18\x08 \x01(\x0b\x32,.object_detection.protos.TFRecordInputReaderH\x00\x12M\n\x15\x65xternal_input_reader\x18\t \x01(\x0b\x32,.object_detection.protos.ExternalInputReaderH\x00\x12&\n\x17\x65xpand_labels_hierarchy\x18\x1d \x01(\x08:\x05\x66\x61lseB\x0e\n\x0cinput_reader\")\n\x13TFRecordInputReader\x12\x12\n\ninput_path\x18\x01 \x03(\t\"\x1c\n\x13\x45xternalInputReader*\x05\x08\x01\x10\xe8\x07*C\n\x10InstanceMaskType\x12\x0b\n\x07\x44\x45\x46\x41ULT\x10\x00\x12\x13\n\x0fNUMERICAL_MASKS\x10\x01\x12\r\n\tPNG_MASKS\x10\x02*G\n\tInputType\x12\x11\n\rINPUT_DEFAULT\x10\x00\x12\x0e\n\nTF_EXAMPLE\x10\x01\x12\x17\n\x13TF_SEQUENCE_EXAMPLE\x10\x02')
,
dependencies=[object__detection_dot_protos_dot_image__resizer__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_INSTANCEMASKTYPE = _descriptor.EnumDescriptor(
name='InstanceMaskType',
full_name='object_detection.protos.InstanceMaskType',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DEFAULT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NUMERICAL_MASKS', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='PNG_MASKS', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1372,
serialized_end=1439,
)
_sym_db.RegisterEnumDescriptor(_INSTANCEMASKTYPE)
InstanceMaskType = enum_type_wrapper.EnumTypeWrapper(_INSTANCEMASKTYPE)
_INPUTTYPE = _descriptor.EnumDescriptor(
name='InputType',
full_name='object_detection.protos.InputType',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='INPUT_DEFAULT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='TF_EXAMPLE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='TF_SEQUENCE_EXAMPLE', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1441,
serialized_end=1512,
)
_sym_db.RegisterEnumDescriptor(_INPUTTYPE)
InputType = enum_type_wrapper.EnumTypeWrapper(_INPUTTYPE)
DEFAULT = 0
NUMERICAL_MASKS = 1
PNG_MASKS = 2
INPUT_DEFAULT = 0
TF_EXAMPLE = 1
TF_SEQUENCE_EXAMPLE = 2
_INPUTREADER = _descriptor.Descriptor(
name='InputReader',
full_name='object_detection.protos.InputReader',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='object_detection.protos.InputReader.name', index=0,
number=23, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='label_map_path', full_name='object_detection.protos.InputReader.label_map_path', index=1,
number=1, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='shuffle', full_name='object_detection.protos.InputReader.shuffle', index=2,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='shuffle_buffer_size', full_name='object_detection.protos.InputReader.shuffle_buffer_size', index=3,
number=11, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=2048,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='filenames_shuffle_buffer_size', full_name='object_detection.protos.InputReader.filenames_shuffle_buffer_size', index=4,
number=12, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=100,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_epochs', full_name='object_detection.protos.InputReader.num_epochs', index=5,
number=5, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='sample_1_of_n_examples', full_name='object_detection.protos.InputReader.sample_1_of_n_examples', index=6,
number=22, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_readers', full_name='object_detection.protos.InputReader.num_readers', index=7,
number=6, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=64,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_parallel_batches', full_name='object_detection.protos.InputReader.num_parallel_batches', index=8,
number=19, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=8,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_prefetch_batches', full_name='object_detection.protos.InputReader.num_prefetch_batches', index=9,
number=20, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=2,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='queue_capacity', full_name='object_detection.protos.InputReader.queue_capacity', index=10,
number=3, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=2000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))),
_descriptor.FieldDescriptor(
name='min_after_dequeue', full_name='object_detection.protos.InputReader.min_after_dequeue', index=11,
number=4, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))),
_descriptor.FieldDescriptor(
name='read_block_length', full_name='object_detection.protos.InputReader.read_block_length', index=12,
number=15, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=32,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='prefetch_size', full_name='object_detection.protos.InputReader.prefetch_size', index=13,
number=13, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=512,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))),
_descriptor.FieldDescriptor(
name='num_parallel_map_calls', full_name='object_detection.protos.InputReader.num_parallel_map_calls', index=14,
number=14, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=64,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))),
_descriptor.FieldDescriptor(
name='num_additional_channels', full_name='object_detection.protos.InputReader.num_additional_channels', index=15,
number=18, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_keypoints', full_name='object_detection.protos.InputReader.num_keypoints', index=16,
number=16, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='keypoint_type_weight', full_name='object_detection.protos.InputReader.keypoint_type_weight', index=17,
number=26, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_number_of_boxes', full_name='object_detection.protos.InputReader.max_number_of_boxes', index=18,
number=21, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=100,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='load_multiclass_scores', full_name='object_detection.protos.InputReader.load_multiclass_scores', index=19,
number=24, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='load_context_features', full_name='object_detection.protos.InputReader.load_context_features', index=20,
number=25, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='load_instance_masks', full_name='object_detection.protos.InputReader.load_instance_masks', index=21,
number=7, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mask_type', full_name='object_detection.protos.InputReader.mask_type', index=22,
number=10, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='load_dense_pose', full_name='object_detection.protos.InputReader.load_dense_pose', index=23,
number=31, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='use_display_name', full_name='object_detection.protos.InputReader.use_display_name', index=24,
number=17, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='include_source_id', full_name='object_detection.protos.InputReader.include_source_id', index=25,
number=27, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='input_type', full_name='object_detection.protos.InputReader.input_type', index=26,
number=30, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='tf_record_input_reader', full_name='object_detection.protos.InputReader.tf_record_input_reader', index=27,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='external_input_reader', full_name='object_detection.protos.InputReader.external_input_reader', index=28,
number=9, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='expand_labels_hierarchy', full_name='object_detection.protos.InputReader.expand_labels_hierarchy', index=29,
number=29, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='input_reader', full_name='object_detection.protos.InputReader.input_reader',
index=0, containing_type=None, fields=[]),
],
serialized_start=117,
serialized_end=1297,
)
_TFRECORDINPUTREADER = _descriptor.Descriptor(
name='TFRecordInputReader',
full_name='object_detection.protos.TFRecordInputReader',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='input_path', full_name='object_detection.protos.TFRecordInputReader.input_path', index=0,
number=1, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1299,
serialized_end=1340,
)
_EXTERNALINPUTREADER = _descriptor.Descriptor(
name='ExternalInputReader',
full_name='object_detection.protos.ExternalInputReader',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1, 1000), ],
oneofs=[
],
serialized_start=1342,
serialized_end=1370,
)
_INPUTREADER.fields_by_name['mask_type'].enum_type = _INSTANCEMASKTYPE
_INPUTREADER.fields_by_name['input_type'].enum_type = _INPUTTYPE
_INPUTREADER.fields_by_name['tf_record_input_reader'].message_type = _TFRECORDINPUTREADER
_INPUTREADER.fields_by_name['external_input_reader'].message_type = _EXTERNALINPUTREADER
_INPUTREADER.oneofs_by_name['input_reader'].fields.append(
_INPUTREADER.fields_by_name['tf_record_input_reader'])
_INPUTREADER.fields_by_name['tf_record_input_reader'].containing_oneof = _INPUTREADER.oneofs_by_name['input_reader']
_INPUTREADER.oneofs_by_name['input_reader'].fields.append(
_INPUTREADER.fields_by_name['external_input_reader'])
_INPUTREADER.fields_by_name['external_input_reader'].containing_oneof = _INPUTREADER.oneofs_by_name['input_reader']
DESCRIPTOR.message_types_by_name['InputReader'] = _INPUTREADER
DESCRIPTOR.message_types_by_name['TFRecordInputReader'] = _TFRECORDINPUTREADER
DESCRIPTOR.message_types_by_name['ExternalInputReader'] = _EXTERNALINPUTREADER
DESCRIPTOR.enum_types_by_name['InstanceMaskType'] = _INSTANCEMASKTYPE
DESCRIPTOR.enum_types_by_name['InputType'] = _INPUTTYPE
InputReader = _reflection.GeneratedProtocolMessageType('InputReader', (_message.Message,), dict(
DESCRIPTOR = _INPUTREADER,
__module__ = 'object_detection.protos.input_reader_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.InputReader)
))
_sym_db.RegisterMessage(InputReader)
TFRecordInputReader = _reflection.GeneratedProtocolMessageType('TFRecordInputReader', (_message.Message,), dict(
DESCRIPTOR = _TFRECORDINPUTREADER,
__module__ = 'object_detection.protos.input_reader_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.TFRecordInputReader)
))
_sym_db.RegisterMessage(TFRecordInputReader)
ExternalInputReader = _reflection.GeneratedProtocolMessageType('ExternalInputReader', (_message.Message,), dict(
DESCRIPTOR = _EXTERNALINPUTREADER,
__module__ = 'object_detection.protos.input_reader_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ExternalInputReader)
))
_sym_db.RegisterMessage(ExternalInputReader)
_INPUTREADER.fields_by_name['queue_capacity'].has_options = True
_INPUTREADER.fields_by_name['queue_capacity']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
_INPUTREADER.fields_by_name['min_after_dequeue'].has_options = True
_INPUTREADER.fields_by_name['min_after_dequeue']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
_INPUTREADER.fields_by_name['prefetch_size'].has_options = True
_INPUTREADER.fields_by_name['prefetch_size']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
_INPUTREADER.fields_by_name['num_parallel_map_calls'].has_options = True
_INPUTREADER.fields_by_name['num_parallel_map_calls']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/keypoint_box_coder_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/keypoint_box_coder.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/keypoint_box_coder.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n0object_detection/protos/keypoint_box_coder.proto\x12\x17object_detection.protos\"\x84\x01\n\x10KeypointBoxCoder\x12\x15\n\rnum_keypoints\x18\x01 \x01(\x05\x12\x13\n\x07y_scale\x18\x02 \x01(\x02:\x02\x31\x30\x12\x13\n\x07x_scale\x18\x03 \x01(\x02:\x02\x31\x30\x12\x17\n\x0cheight_scale\x18\x04 \x01(\x02:\x01\x35\x12\x16\n\x0bwidth_scale\x18\x05 \x01(\x02:\x01\x35')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_KEYPOINTBOXCODER = _descriptor.Descriptor(
name='KeypointBoxCoder',
full_name='object_detection.protos.KeypointBoxCoder',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='num_keypoints', full_name='object_detection.protos.KeypointBoxCoder.num_keypoints', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='y_scale', full_name='object_detection.protos.KeypointBoxCoder.y_scale', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(10),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='x_scale', full_name='object_detection.protos.KeypointBoxCoder.x_scale', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(10),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height_scale', full_name='object_detection.protos.KeypointBoxCoder.height_scale', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width_scale', full_name='object_detection.protos.KeypointBoxCoder.width_scale', index=4,
number=5, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=78,
serialized_end=210,
)
DESCRIPTOR.message_types_by_name['KeypointBoxCoder'] = _KEYPOINTBOXCODER
KeypointBoxCoder = _reflection.GeneratedProtocolMessageType('KeypointBoxCoder', (_message.Message,), dict(
DESCRIPTOR = _KEYPOINTBOXCODER,
__module__ = 'object_detection.protos.keypoint_box_coder_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.KeypointBoxCoder)
))
_sym_db.RegisterMessage(KeypointBoxCoder)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/losses_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/losses.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/losses.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n$object_detection/protos/losses.proto\x12\x17object_detection.protos\"\xfe\x05\n\x04Loss\x12\x44\n\x11localization_loss\x18\x01 \x01(\x0b\x32).object_detection.protos.LocalizationLoss\x12H\n\x13\x63lassification_loss\x18\x02 \x01(\x0b\x32+.object_detection.protos.ClassificationLoss\x12\x45\n\x12hard_example_miner\x18\x03 \x01(\x0b\x32).object_detection.protos.HardExampleMiner\x12 \n\x15\x63lassification_weight\x18\x04 \x01(\x02:\x01\x31\x12\x1e\n\x13localization_weight\x18\x05 \x01(\x02:\x01\x31\x12M\n\x16random_example_sampler\x18\x06 \x01(\x0b\x32-.object_detection.protos.RandomExampleSampler\x12I\n\x11\x65qualization_loss\x18\x07 \x01(\x0b\x32..object_detection.protos.Loss.EqualizationLoss\x12V\n\x15\x65xpected_loss_weights\x18\x12 \x01(\x0e\x32\x31.object_detection.protos.Loss.ExpectedLossWeights:\x04NONE\x12#\n\x18min_num_negative_samples\x18\x13 \x01(\x02:\x01\x30\x12*\n\x1f\x64\x65sired_negative_sampling_ratio\x18\x14 \x01(\x02:\x01\x33\x1a?\n\x10\x45qualizationLoss\x12\x11\n\x06weight\x18\x01 \x01(\x02:\x01\x30\x12\x18\n\x10\x65xclude_prefixes\x18\x02 \x03(\t\"Y\n\x13\x45xpectedLossWeights\x12\x08\n\x04NONE\x10\x00\x12\x15\n\x11\x45XPECTED_SAMPLING\x10\x01\x12!\n\x1dREWEIGHTING_UNMATCHED_ANCHORS\x10\x02\"\xe7\x02\n\x10LocalizationLoss\x12J\n\x0bweighted_l2\x18\x01 \x01(\x0b\x32\x33.object_detection.protos.WeightedL2LocalizationLossH\x00\x12W\n\x12weighted_smooth_l1\x18\x02 \x01(\x0b\x32\x39.object_detection.protos.WeightedSmoothL1LocalizationLossH\x00\x12L\n\x0cweighted_iou\x18\x03 \x01(\x0b\x32\x34.object_detection.protos.WeightedIOULocalizationLossH\x00\x12K\n\x14l1_localization_loss\x18\x04 \x01(\x0b\x32+.object_detection.protos.L1LocalizationLossH\x00\x42\x13\n\x11localization_loss\">\n\x1aWeightedL2LocalizationLoss\x12 \n\x11\x61nchorwise_output\x18\x01 \x01(\x08:\x05\x66\x61lse\"V\n WeightedSmoothL1LocalizationLoss\x12 \n\x11\x61nchorwise_output\x18\x01 \x01(\x08:\x05\x66\x61lse\x12\x10\n\x05\x64\x65lta\x18\x02 \x01(\x02:\x01\x31\"\x1d\n\x1bWeightedIOULocalizationLoss\"\x14\n\x12L1LocalizationLoss\"\xeb\x04\n\x12\x43lassificationLoss\x12V\n\x10weighted_sigmoid\x18\x01 \x01(\x0b\x32:.object_detection.protos.WeightedSigmoidClassificationLossH\x00\x12V\n\x10weighted_softmax\x18\x02 \x01(\x0b\x32:.object_detection.protos.WeightedSoftmaxClassificationLossH\x00\x12j\n\x17weighted_logits_softmax\x18\x05 \x01(\x0b\x32G.object_detection.protos.WeightedSoftmaxClassificationAgainstLogitsLossH\x00\x12^\n\x14\x62ootstrapped_sigmoid\x18\x03 \x01(\x0b\x32>.object_detection.protos.BootstrappedSigmoidClassificationLossH\x00\x12Y\n\x16weighted_sigmoid_focal\x18\x04 \x01(\x0b\x32\x37.object_detection.protos.SigmoidFocalClassificationLossH\x00\x12g\n#penalty_reduced_logistic_focal_loss\x18\x06 \x01(\x0b\x32\x38.object_detection.protos.PenaltyReducedLogisticFocalLossH\x00\x42\x15\n\x13\x63lassification_loss\"E\n!WeightedSigmoidClassificationLoss\x12 \n\x11\x61nchorwise_output\x18\x01 \x01(\x08:\x05\x66\x61lse\"c\n\x1eSigmoidFocalClassificationLoss\x12 \n\x11\x61nchorwise_output\x18\x01 \x01(\x08:\x05\x66\x61lse\x12\x10\n\x05gamma\x18\x02 \x01(\x02:\x01\x32\x12\r\n\x05\x61lpha\x18\x03 \x01(\x02\"]\n!WeightedSoftmaxClassificationLoss\x12 \n\x11\x61nchorwise_output\x18\x01 \x01(\x08:\x05\x66\x61lse\x12\x16\n\x0blogit_scale\x18\x02 \x01(\x02:\x01\x31\"j\n.WeightedSoftmaxClassificationAgainstLogitsLoss\x12 \n\x11\x61nchorwise_output\x18\x01 \x01(\x08:\x05\x66\x61lse\x12\x16\n\x0blogit_scale\x18\x02 \x01(\x02:\x01\x31\"w\n%BootstrappedSigmoidClassificationLoss\x12\r\n\x05\x61lpha\x18\x01 \x01(\x02\x12\x1d\n\x0ehard_bootstrap\x18\x02 \x01(\x08:\x05\x66\x61lse\x12 \n\x11\x61nchorwise_output\x18\x03 \x01(\x08:\x05\x66\x61lse\">\n\x1fPenaltyReducedLogisticFocalLoss\x12\r\n\x05\x61lpha\x18\x01 \x01(\x02\x12\x0c\n\x04\x62\x65ta\x18\x02 \x01(\x02\"\xa1\x02\n\x10HardExampleMiner\x12\x1d\n\x11num_hard_examples\x18\x01 \x01(\x05:\x02\x36\x34\x12\x1a\n\riou_threshold\x18\x02 \x01(\x02:\x03\x30.7\x12K\n\tloss_type\x18\x03 \x01(\x0e\x32\x32.object_detection.protos.HardExampleMiner.LossType:\x04\x42OTH\x12%\n\x1amax_negatives_per_positive\x18\x04 \x01(\x05:\x01\x30\x12\"\n\x17min_negatives_per_image\x18\x05 \x01(\x05:\x01\x30\":\n\x08LossType\x12\x08\n\x04\x42OTH\x10\x00\x12\x12\n\x0e\x43LASSIFICATION\x10\x01\x12\x10\n\x0cLOCALIZATION\x10\x02\">\n\x14RandomExampleSampler\x12&\n\x18positive_sample_fraction\x18\x01 \x01(\x02:\x04\x30.01')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_LOSS_EXPECTEDLOSSWEIGHTS = _descriptor.EnumDescriptor(
name='ExpectedLossWeights',
full_name='object_detection.protos.Loss.ExpectedLossWeights',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='NONE', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='EXPECTED_SAMPLING', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='REWEIGHTING_UNMATCHED_ANCHORS', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=743,
serialized_end=832,
)
_sym_db.RegisterEnumDescriptor(_LOSS_EXPECTEDLOSSWEIGHTS)
_HARDEXAMPLEMINER_LOSSTYPE = _descriptor.EnumDescriptor(
name='LossType',
full_name='object_detection.protos.HardExampleMiner.LossType',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='BOTH', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CLASSIFICATION', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='LOCALIZATION', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=2815,
serialized_end=2873,
)
_sym_db.RegisterEnumDescriptor(_HARDEXAMPLEMINER_LOSSTYPE)
_LOSS_EQUALIZATIONLOSS = _descriptor.Descriptor(
name='EqualizationLoss',
full_name='object_detection.protos.Loss.EqualizationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='weight', full_name='object_detection.protos.Loss.EqualizationLoss.weight', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='exclude_prefixes', full_name='object_detection.protos.Loss.EqualizationLoss.exclude_prefixes', index=1,
number=2, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=678,
serialized_end=741,
)
_LOSS = _descriptor.Descriptor(
name='Loss',
full_name='object_detection.protos.Loss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='localization_loss', full_name='object_detection.protos.Loss.localization_loss', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='classification_loss', full_name='object_detection.protos.Loss.classification_loss', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hard_example_miner', full_name='object_detection.protos.Loss.hard_example_miner', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='classification_weight', full_name='object_detection.protos.Loss.classification_weight', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='localization_weight', full_name='object_detection.protos.Loss.localization_weight', index=4,
number=5, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='random_example_sampler', full_name='object_detection.protos.Loss.random_example_sampler', index=5,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='equalization_loss', full_name='object_detection.protos.Loss.equalization_loss', index=6,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='expected_loss_weights', full_name='object_detection.protos.Loss.expected_loss_weights', index=7,
number=18, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_num_negative_samples', full_name='object_detection.protos.Loss.min_num_negative_samples', index=8,
number=19, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='desired_negative_sampling_ratio', full_name='object_detection.protos.Loss.desired_negative_sampling_ratio', index=9,
number=20, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(3),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[_LOSS_EQUALIZATIONLOSS, ],
enum_types=[
_LOSS_EXPECTEDLOSSWEIGHTS,
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=66,
serialized_end=832,
)
_LOCALIZATIONLOSS = _descriptor.Descriptor(
name='LocalizationLoss',
full_name='object_detection.protos.LocalizationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='weighted_l2', full_name='object_detection.protos.LocalizationLoss.weighted_l2', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weighted_smooth_l1', full_name='object_detection.protos.LocalizationLoss.weighted_smooth_l1', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weighted_iou', full_name='object_detection.protos.LocalizationLoss.weighted_iou', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='l1_localization_loss', full_name='object_detection.protos.LocalizationLoss.l1_localization_loss', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='localization_loss', full_name='object_detection.protos.LocalizationLoss.localization_loss',
index=0, containing_type=None, fields=[]),
],
serialized_start=835,
serialized_end=1194,
)
_WEIGHTEDL2LOCALIZATIONLOSS = _descriptor.Descriptor(
name='WeightedL2LocalizationLoss',
full_name='object_detection.protos.WeightedL2LocalizationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='anchorwise_output', full_name='object_detection.protos.WeightedL2LocalizationLoss.anchorwise_output', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1196,
serialized_end=1258,
)
_WEIGHTEDSMOOTHL1LOCALIZATIONLOSS = _descriptor.Descriptor(
name='WeightedSmoothL1LocalizationLoss',
full_name='object_detection.protos.WeightedSmoothL1LocalizationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='anchorwise_output', full_name='object_detection.protos.WeightedSmoothL1LocalizationLoss.anchorwise_output', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='delta', full_name='object_detection.protos.WeightedSmoothL1LocalizationLoss.delta', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1260,
serialized_end=1346,
)
_WEIGHTEDIOULOCALIZATIONLOSS = _descriptor.Descriptor(
name='WeightedIOULocalizationLoss',
full_name='object_detection.protos.WeightedIOULocalizationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1348,
serialized_end=1377,
)
_L1LOCALIZATIONLOSS = _descriptor.Descriptor(
name='L1LocalizationLoss',
full_name='object_detection.protos.L1LocalizationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1379,
serialized_end=1399,
)
_CLASSIFICATIONLOSS = _descriptor.Descriptor(
name='ClassificationLoss',
full_name='object_detection.protos.ClassificationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='weighted_sigmoid', full_name='object_detection.protos.ClassificationLoss.weighted_sigmoid', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weighted_softmax', full_name='object_detection.protos.ClassificationLoss.weighted_softmax', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weighted_logits_softmax', full_name='object_detection.protos.ClassificationLoss.weighted_logits_softmax', index=2,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bootstrapped_sigmoid', full_name='object_detection.protos.ClassificationLoss.bootstrapped_sigmoid', index=3,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weighted_sigmoid_focal', full_name='object_detection.protos.ClassificationLoss.weighted_sigmoid_focal', index=4,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='penalty_reduced_logistic_focal_loss', full_name='object_detection.protos.ClassificationLoss.penalty_reduced_logistic_focal_loss', index=5,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='classification_loss', full_name='object_detection.protos.ClassificationLoss.classification_loss',
index=0, containing_type=None, fields=[]),
],
serialized_start=1402,
serialized_end=2021,
)
_WEIGHTEDSIGMOIDCLASSIFICATIONLOSS = _descriptor.Descriptor(
name='WeightedSigmoidClassificationLoss',
full_name='object_detection.protos.WeightedSigmoidClassificationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='anchorwise_output', full_name='object_detection.protos.WeightedSigmoidClassificationLoss.anchorwise_output', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2023,
serialized_end=2092,
)
_SIGMOIDFOCALCLASSIFICATIONLOSS = _descriptor.Descriptor(
name='SigmoidFocalClassificationLoss',
full_name='object_detection.protos.SigmoidFocalClassificationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='anchorwise_output', full_name='object_detection.protos.SigmoidFocalClassificationLoss.anchorwise_output', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='gamma', full_name='object_detection.protos.SigmoidFocalClassificationLoss.gamma', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(2),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='alpha', full_name='object_detection.protos.SigmoidFocalClassificationLoss.alpha', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2094,
serialized_end=2193,
)
_WEIGHTEDSOFTMAXCLASSIFICATIONLOSS = _descriptor.Descriptor(
name='WeightedSoftmaxClassificationLoss',
full_name='object_detection.protos.WeightedSoftmaxClassificationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='anchorwise_output', full_name='object_detection.protos.WeightedSoftmaxClassificationLoss.anchorwise_output', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='logit_scale', full_name='object_detection.protos.WeightedSoftmaxClassificationLoss.logit_scale', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2195,
serialized_end=2288,
)
_WEIGHTEDSOFTMAXCLASSIFICATIONAGAINSTLOGITSLOSS = _descriptor.Descriptor(
name='WeightedSoftmaxClassificationAgainstLogitsLoss',
full_name='object_detection.protos.WeightedSoftmaxClassificationAgainstLogitsLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='anchorwise_output', full_name='object_detection.protos.WeightedSoftmaxClassificationAgainstLogitsLoss.anchorwise_output', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='logit_scale', full_name='object_detection.protos.WeightedSoftmaxClassificationAgainstLogitsLoss.logit_scale', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2290,
serialized_end=2396,
)
_BOOTSTRAPPEDSIGMOIDCLASSIFICATIONLOSS = _descriptor.Descriptor(
name='BootstrappedSigmoidClassificationLoss',
full_name='object_detection.protos.BootstrappedSigmoidClassificationLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='alpha', full_name='object_detection.protos.BootstrappedSigmoidClassificationLoss.alpha', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hard_bootstrap', full_name='object_detection.protos.BootstrappedSigmoidClassificationLoss.hard_bootstrap', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='anchorwise_output', full_name='object_detection.protos.BootstrappedSigmoidClassificationLoss.anchorwise_output', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2398,
serialized_end=2517,
)
_PENALTYREDUCEDLOGISTICFOCALLOSS = _descriptor.Descriptor(
name='PenaltyReducedLogisticFocalLoss',
full_name='object_detection.protos.PenaltyReducedLogisticFocalLoss',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='alpha', full_name='object_detection.protos.PenaltyReducedLogisticFocalLoss.alpha', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='beta', full_name='object_detection.protos.PenaltyReducedLogisticFocalLoss.beta', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2519,
serialized_end=2581,
)
_HARDEXAMPLEMINER = _descriptor.Descriptor(
name='HardExampleMiner',
full_name='object_detection.protos.HardExampleMiner',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='num_hard_examples', full_name='object_detection.protos.HardExampleMiner.num_hard_examples', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=64,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='iou_threshold', full_name='object_detection.protos.HardExampleMiner.iou_threshold', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.7),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='loss_type', full_name='object_detection.protos.HardExampleMiner.loss_type', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_negatives_per_positive', full_name='object_detection.protos.HardExampleMiner.max_negatives_per_positive', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_negatives_per_image', full_name='object_detection.protos.HardExampleMiner.min_negatives_per_image', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_HARDEXAMPLEMINER_LOSSTYPE,
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2584,
serialized_end=2873,
)
_RANDOMEXAMPLESAMPLER = _descriptor.Descriptor(
name='RandomExampleSampler',
full_name='object_detection.protos.RandomExampleSampler',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='positive_sample_fraction', full_name='object_detection.protos.RandomExampleSampler.positive_sample_fraction', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.01),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2875,
serialized_end=2937,
)
_LOSS_EQUALIZATIONLOSS.containing_type = _LOSS
_LOSS.fields_by_name['localization_loss'].message_type = _LOCALIZATIONLOSS
_LOSS.fields_by_name['classification_loss'].message_type = _CLASSIFICATIONLOSS
_LOSS.fields_by_name['hard_example_miner'].message_type = _HARDEXAMPLEMINER
_LOSS.fields_by_name['random_example_sampler'].message_type = _RANDOMEXAMPLESAMPLER
_LOSS.fields_by_name['equalization_loss'].message_type = _LOSS_EQUALIZATIONLOSS
_LOSS.fields_by_name['expected_loss_weights'].enum_type = _LOSS_EXPECTEDLOSSWEIGHTS
_LOSS_EXPECTEDLOSSWEIGHTS.containing_type = _LOSS
_LOCALIZATIONLOSS.fields_by_name['weighted_l2'].message_type = _WEIGHTEDL2LOCALIZATIONLOSS
_LOCALIZATIONLOSS.fields_by_name['weighted_smooth_l1'].message_type = _WEIGHTEDSMOOTHL1LOCALIZATIONLOSS
_LOCALIZATIONLOSS.fields_by_name['weighted_iou'].message_type = _WEIGHTEDIOULOCALIZATIONLOSS
_LOCALIZATIONLOSS.fields_by_name['l1_localization_loss'].message_type = _L1LOCALIZATIONLOSS
_LOCALIZATIONLOSS.oneofs_by_name['localization_loss'].fields.append(
_LOCALIZATIONLOSS.fields_by_name['weighted_l2'])
_LOCALIZATIONLOSS.fields_by_name['weighted_l2'].containing_oneof = _LOCALIZATIONLOSS.oneofs_by_name['localization_loss']
_LOCALIZATIONLOSS.oneofs_by_name['localization_loss'].fields.append(
_LOCALIZATIONLOSS.fields_by_name['weighted_smooth_l1'])
_LOCALIZATIONLOSS.fields_by_name['weighted_smooth_l1'].containing_oneof = _LOCALIZATIONLOSS.oneofs_by_name['localization_loss']
_LOCALIZATIONLOSS.oneofs_by_name['localization_loss'].fields.append(
_LOCALIZATIONLOSS.fields_by_name['weighted_iou'])
_LOCALIZATIONLOSS.fields_by_name['weighted_iou'].containing_oneof = _LOCALIZATIONLOSS.oneofs_by_name['localization_loss']
_LOCALIZATIONLOSS.oneofs_by_name['localization_loss'].fields.append(
_LOCALIZATIONLOSS.fields_by_name['l1_localization_loss'])
_LOCALIZATIONLOSS.fields_by_name['l1_localization_loss'].containing_oneof = _LOCALIZATIONLOSS.oneofs_by_name['localization_loss']
_CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid'].message_type = _WEIGHTEDSIGMOIDCLASSIFICATIONLOSS
_CLASSIFICATIONLOSS.fields_by_name['weighted_softmax'].message_type = _WEIGHTEDSOFTMAXCLASSIFICATIONLOSS
_CLASSIFICATIONLOSS.fields_by_name['weighted_logits_softmax'].message_type = _WEIGHTEDSOFTMAXCLASSIFICATIONAGAINSTLOGITSLOSS
_CLASSIFICATIONLOSS.fields_by_name['bootstrapped_sigmoid'].message_type = _BOOTSTRAPPEDSIGMOIDCLASSIFICATIONLOSS
_CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid_focal'].message_type = _SIGMOIDFOCALCLASSIFICATIONLOSS
_CLASSIFICATIONLOSS.fields_by_name['penalty_reduced_logistic_focal_loss'].message_type = _PENALTYREDUCEDLOGISTICFOCALLOSS
_CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append(
_CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid'])
_CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss']
_CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append(
_CLASSIFICATIONLOSS.fields_by_name['weighted_softmax'])
_CLASSIFICATIONLOSS.fields_by_name['weighted_softmax'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss']
_CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append(
_CLASSIFICATIONLOSS.fields_by_name['weighted_logits_softmax'])
_CLASSIFICATIONLOSS.fields_by_name['weighted_logits_softmax'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss']
_CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append(
_CLASSIFICATIONLOSS.fields_by_name['bootstrapped_sigmoid'])
_CLASSIFICATIONLOSS.fields_by_name['bootstrapped_sigmoid'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss']
_CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append(
_CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid_focal'])
_CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid_focal'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss']
_CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append(
_CLASSIFICATIONLOSS.fields_by_name['penalty_reduced_logistic_focal_loss'])
_CLASSIFICATIONLOSS.fields_by_name['penalty_reduced_logistic_focal_loss'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss']
_HARDEXAMPLEMINER.fields_by_name['loss_type'].enum_type = _HARDEXAMPLEMINER_LOSSTYPE
_HARDEXAMPLEMINER_LOSSTYPE.containing_type = _HARDEXAMPLEMINER
DESCRIPTOR.message_types_by_name['Loss'] = _LOSS
DESCRIPTOR.message_types_by_name['LocalizationLoss'] = _LOCALIZATIONLOSS
DESCRIPTOR.message_types_by_name['WeightedL2LocalizationLoss'] = _WEIGHTEDL2LOCALIZATIONLOSS
DESCRIPTOR.message_types_by_name['WeightedSmoothL1LocalizationLoss'] = _WEIGHTEDSMOOTHL1LOCALIZATIONLOSS
DESCRIPTOR.message_types_by_name['WeightedIOULocalizationLoss'] = _WEIGHTEDIOULOCALIZATIONLOSS
DESCRIPTOR.message_types_by_name['L1LocalizationLoss'] = _L1LOCALIZATIONLOSS
DESCRIPTOR.message_types_by_name['ClassificationLoss'] = _CLASSIFICATIONLOSS
DESCRIPTOR.message_types_by_name['WeightedSigmoidClassificationLoss'] = _WEIGHTEDSIGMOIDCLASSIFICATIONLOSS
DESCRIPTOR.message_types_by_name['SigmoidFocalClassificationLoss'] = _SIGMOIDFOCALCLASSIFICATIONLOSS
DESCRIPTOR.message_types_by_name['WeightedSoftmaxClassificationLoss'] = _WEIGHTEDSOFTMAXCLASSIFICATIONLOSS
DESCRIPTOR.message_types_by_name['WeightedSoftmaxClassificationAgainstLogitsLoss'] = _WEIGHTEDSOFTMAXCLASSIFICATIONAGAINSTLOGITSLOSS
DESCRIPTOR.message_types_by_name['BootstrappedSigmoidClassificationLoss'] = _BOOTSTRAPPEDSIGMOIDCLASSIFICATIONLOSS
DESCRIPTOR.message_types_by_name['PenaltyReducedLogisticFocalLoss'] = _PENALTYREDUCEDLOGISTICFOCALLOSS
DESCRIPTOR.message_types_by_name['HardExampleMiner'] = _HARDEXAMPLEMINER
DESCRIPTOR.message_types_by_name['RandomExampleSampler'] = _RANDOMEXAMPLESAMPLER
Loss = _reflection.GeneratedProtocolMessageType('Loss', (_message.Message,), dict(
EqualizationLoss = _reflection.GeneratedProtocolMessageType('EqualizationLoss', (_message.Message,), dict(
DESCRIPTOR = _LOSS_EQUALIZATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Loss.EqualizationLoss)
))
,
DESCRIPTOR = _LOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Loss)
))
_sym_db.RegisterMessage(Loss)
_sym_db.RegisterMessage(Loss.EqualizationLoss)
LocalizationLoss = _reflection.GeneratedProtocolMessageType('LocalizationLoss', (_message.Message,), dict(
DESCRIPTOR = _LOCALIZATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.LocalizationLoss)
))
_sym_db.RegisterMessage(LocalizationLoss)
WeightedL2LocalizationLoss = _reflection.GeneratedProtocolMessageType('WeightedL2LocalizationLoss', (_message.Message,), dict(
DESCRIPTOR = _WEIGHTEDL2LOCALIZATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.WeightedL2LocalizationLoss)
))
_sym_db.RegisterMessage(WeightedL2LocalizationLoss)
WeightedSmoothL1LocalizationLoss = _reflection.GeneratedProtocolMessageType('WeightedSmoothL1LocalizationLoss', (_message.Message,), dict(
DESCRIPTOR = _WEIGHTEDSMOOTHL1LOCALIZATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.WeightedSmoothL1LocalizationLoss)
))
_sym_db.RegisterMessage(WeightedSmoothL1LocalizationLoss)
WeightedIOULocalizationLoss = _reflection.GeneratedProtocolMessageType('WeightedIOULocalizationLoss', (_message.Message,), dict(
DESCRIPTOR = _WEIGHTEDIOULOCALIZATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.WeightedIOULocalizationLoss)
))
_sym_db.RegisterMessage(WeightedIOULocalizationLoss)
L1LocalizationLoss = _reflection.GeneratedProtocolMessageType('L1LocalizationLoss', (_message.Message,), dict(
DESCRIPTOR = _L1LOCALIZATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.L1LocalizationLoss)
))
_sym_db.RegisterMessage(L1LocalizationLoss)
ClassificationLoss = _reflection.GeneratedProtocolMessageType('ClassificationLoss', (_message.Message,), dict(
DESCRIPTOR = _CLASSIFICATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ClassificationLoss)
))
_sym_db.RegisterMessage(ClassificationLoss)
WeightedSigmoidClassificationLoss = _reflection.GeneratedProtocolMessageType('WeightedSigmoidClassificationLoss', (_message.Message,), dict(
DESCRIPTOR = _WEIGHTEDSIGMOIDCLASSIFICATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.WeightedSigmoidClassificationLoss)
))
_sym_db.RegisterMessage(WeightedSigmoidClassificationLoss)
SigmoidFocalClassificationLoss = _reflection.GeneratedProtocolMessageType('SigmoidFocalClassificationLoss', (_message.Message,), dict(
DESCRIPTOR = _SIGMOIDFOCALCLASSIFICATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SigmoidFocalClassificationLoss)
))
_sym_db.RegisterMessage(SigmoidFocalClassificationLoss)
WeightedSoftmaxClassificationLoss = _reflection.GeneratedProtocolMessageType('WeightedSoftmaxClassificationLoss', (_message.Message,), dict(
DESCRIPTOR = _WEIGHTEDSOFTMAXCLASSIFICATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.WeightedSoftmaxClassificationLoss)
))
_sym_db.RegisterMessage(WeightedSoftmaxClassificationLoss)
WeightedSoftmaxClassificationAgainstLogitsLoss = _reflection.GeneratedProtocolMessageType('WeightedSoftmaxClassificationAgainstLogitsLoss', (_message.Message,), dict(
DESCRIPTOR = _WEIGHTEDSOFTMAXCLASSIFICATIONAGAINSTLOGITSLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.WeightedSoftmaxClassificationAgainstLogitsLoss)
))
_sym_db.RegisterMessage(WeightedSoftmaxClassificationAgainstLogitsLoss)
BootstrappedSigmoidClassificationLoss = _reflection.GeneratedProtocolMessageType('BootstrappedSigmoidClassificationLoss', (_message.Message,), dict(
DESCRIPTOR = _BOOTSTRAPPEDSIGMOIDCLASSIFICATIONLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.BootstrappedSigmoidClassificationLoss)
))
_sym_db.RegisterMessage(BootstrappedSigmoidClassificationLoss)
PenaltyReducedLogisticFocalLoss = _reflection.GeneratedProtocolMessageType('PenaltyReducedLogisticFocalLoss', (_message.Message,), dict(
DESCRIPTOR = _PENALTYREDUCEDLOGISTICFOCALLOSS,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.PenaltyReducedLogisticFocalLoss)
))
_sym_db.RegisterMessage(PenaltyReducedLogisticFocalLoss)
HardExampleMiner = _reflection.GeneratedProtocolMessageType('HardExampleMiner', (_message.Message,), dict(
DESCRIPTOR = _HARDEXAMPLEMINER,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.HardExampleMiner)
))
_sym_db.RegisterMessage(HardExampleMiner)
RandomExampleSampler = _reflection.GeneratedProtocolMessageType('RandomExampleSampler', (_message.Message,), dict(
DESCRIPTOR = _RANDOMEXAMPLESAMPLER,
__module__ = 'object_detection.protos.losses_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomExampleSampler)
))
_sym_db.RegisterMessage(RandomExampleSampler)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/matcher_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/matcher.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from object_detection.protos import argmax_matcher_pb2 as object__detection_dot_protos_dot_argmax__matcher__pb2
from object_detection.protos import bipartite_matcher_pb2 as object__detection_dot_protos_dot_bipartite__matcher__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/matcher.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n%object_detection/protos/matcher.proto\x12\x17object_detection.protos\x1a,object_detection/protos/argmax_matcher.proto\x1a/object_detection/protos/bipartite_matcher.proto\"\xa4\x01\n\x07Matcher\x12@\n\x0e\x61rgmax_matcher\x18\x01 \x01(\x0b\x32&.object_detection.protos.ArgMaxMatcherH\x00\x12\x46\n\x11\x62ipartite_matcher\x18\x02 \x01(\x0b\x32).object_detection.protos.BipartiteMatcherH\x00\x42\x0f\n\rmatcher_oneof')
,
dependencies=[object__detection_dot_protos_dot_argmax__matcher__pb2.DESCRIPTOR,object__detection_dot_protos_dot_bipartite__matcher__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_MATCHER = _descriptor.Descriptor(
name='Matcher',
full_name='object_detection.protos.Matcher',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='argmax_matcher', full_name='object_detection.protos.Matcher.argmax_matcher', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bipartite_matcher', full_name='object_detection.protos.Matcher.bipartite_matcher', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='matcher_oneof', full_name='object_detection.protos.Matcher.matcher_oneof',
index=0, containing_type=None, fields=[]),
],
serialized_start=162,
serialized_end=326,
)
_MATCHER.fields_by_name['argmax_matcher'].message_type = object__detection_dot_protos_dot_argmax__matcher__pb2._ARGMAXMATCHER
_MATCHER.fields_by_name['bipartite_matcher'].message_type = object__detection_dot_protos_dot_bipartite__matcher__pb2._BIPARTITEMATCHER
_MATCHER.oneofs_by_name['matcher_oneof'].fields.append(
_MATCHER.fields_by_name['argmax_matcher'])
_MATCHER.fields_by_name['argmax_matcher'].containing_oneof = _MATCHER.oneofs_by_name['matcher_oneof']
_MATCHER.oneofs_by_name['matcher_oneof'].fields.append(
_MATCHER.fields_by_name['bipartite_matcher'])
_MATCHER.fields_by_name['bipartite_matcher'].containing_oneof = _MATCHER.oneofs_by_name['matcher_oneof']
DESCRIPTOR.message_types_by_name['Matcher'] = _MATCHER
Matcher = _reflection.GeneratedProtocolMessageType('Matcher', (_message.Message,), dict(
DESCRIPTOR = _MATCHER,
__module__ = 'object_detection.protos.matcher_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Matcher)
))
_sym_db.RegisterMessage(Matcher)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/mean_stddev_box_coder_pb2.py 0 → 100644
View file @ bb16d5ca
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/mean_stddev_box_coder.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/mean_stddev_box_coder.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n3object_detection/protos/mean_stddev_box_coder.proto\x12\x17object_detection.protos\"*\n\x12MeanStddevBoxCoder\x12\x14\n\x06stddev\x18\x01 \x01(\x02:\x04\x30.01')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_MEANSTDDEVBOXCODER = _descriptor.Descriptor(
name='MeanStddevBoxCoder',
full_name='object_detection.protos.MeanStddevBoxCoder',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='stddev', full_name='object_detection.protos.MeanStddevBoxCoder.stddev', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.01),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=80,
serialized_end=122,
)
DESCRIPTOR.message_types_by_name['MeanStddevBoxCoder'] = _MEANSTDDEVBOXCODER
MeanStddevBoxCoder = _reflection.GeneratedProtocolMessageType('MeanStddevBoxCoder', (_message.Message,), dict(
DESCRIPTOR = _MEANSTDDEVBOXCODER,
__module__ = 'object_detection.protos.mean_stddev_box_coder_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.MeanStddevBoxCoder)
))
_sym_db.RegisterMessage(MeanStddevBoxCoder)
# @@protoc_insertion_point(module_scope)
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