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Commit dcd96e02 authored by Kaushik Shivakumar's avatar Kaushik Shivakumar
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remove protos

parent aabe1231
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research/object_detection/protos/model_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/model.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 center_net_pb2 as object__detection_dot_protos_dot_center__net__pb2
from object_detection.protos import faster_rcnn_pb2 as object__detection_dot_protos_dot_faster__rcnn__pb2
from object_detection.protos import ssd_pb2 as object__detection_dot_protos_dot_ssd__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/model.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n#object_detection/protos/model.proto\x12\x17object_detection.protos\x1a(object_detection/protos/center_net.proto\x1a)object_detection/protos/faster_rcnn.proto\x1a!object_detection/protos/ssd.proto\"\x86\x02\n\x0e\x44\x65tectionModel\x12:\n\x0b\x66\x61ster_rcnn\x18\x01 \x01(\x0b\x32#.object_detection.protos.FasterRcnnH\x00\x12+\n\x03ssd\x18\x02 \x01(\x0b\x32\x1c.object_detection.protos.SsdH\x00\x12H\n\x12\x65xperimental_model\x18\x03 \x01(\x0b\x32*.object_detection.protos.ExperimentalModelH\x00\x12\x38\n\ncenter_net\x18\x04 \x01(\x0b\x32\".object_detection.protos.CenterNetH\x00\x42\x07\n\x05model\"!\n\x11\x45xperimentalModel\x12\x0c\n\x04name\x18\x01 \x01(\t')
,
dependencies=[object__detection_dot_protos_dot_center__net__pb2.DESCRIPTOR,object__detection_dot_protos_dot_faster__rcnn__pb2.DESCRIPTOR,object__detection_dot_protos_dot_ssd__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_DETECTIONMODEL = _descriptor.Descriptor(
name='DetectionModel',
full_name='object_detection.protos.DetectionModel',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='faster_rcnn', full_name='object_detection.protos.DetectionModel.faster_rcnn', 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', full_name='object_detection.protos.DetectionModel.ssd', 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='experimental_model', full_name='object_detection.protos.DetectionModel.experimental_model', 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='center_net', full_name='object_detection.protos.DetectionModel.center_net', 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='model', full_name='object_detection.protos.DetectionModel.model',
index=0, containing_type=None, fields=[]),
],
serialized_start=185,
serialized_end=447,
)
_EXPERIMENTALMODEL = _descriptor.Descriptor(
name='ExperimentalModel',
full_name='object_detection.protos.ExperimentalModel',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='object_detection.protos.ExperimentalModel.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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=449,
serialized_end=482,
)
_DETECTIONMODEL.fields_by_name['faster_rcnn'].message_type = object__detection_dot_protos_dot_faster__rcnn__pb2._FASTERRCNN
_DETECTIONMODEL.fields_by_name['ssd'].message_type = object__detection_dot_protos_dot_ssd__pb2._SSD
_DETECTIONMODEL.fields_by_name['experimental_model'].message_type = _EXPERIMENTALMODEL
_DETECTIONMODEL.fields_by_name['center_net'].message_type = object__detection_dot_protos_dot_center__net__pb2._CENTERNET
_DETECTIONMODEL.oneofs_by_name['model'].fields.append(
_DETECTIONMODEL.fields_by_name['faster_rcnn'])
_DETECTIONMODEL.fields_by_name['faster_rcnn'].containing_oneof = _DETECTIONMODEL.oneofs_by_name['model']
_DETECTIONMODEL.oneofs_by_name['model'].fields.append(
_DETECTIONMODEL.fields_by_name['ssd'])
_DETECTIONMODEL.fields_by_name['ssd'].containing_oneof = _DETECTIONMODEL.oneofs_by_name['model']
_DETECTIONMODEL.oneofs_by_name['model'].fields.append(
_DETECTIONMODEL.fields_by_name['experimental_model'])
_DETECTIONMODEL.fields_by_name['experimental_model'].containing_oneof = _DETECTIONMODEL.oneofs_by_name['model']
_DETECTIONMODEL.oneofs_by_name['model'].fields.append(
_DETECTIONMODEL.fields_by_name['center_net'])
_DETECTIONMODEL.fields_by_name['center_net'].containing_oneof = _DETECTIONMODEL.oneofs_by_name['model']
DESCRIPTOR.message_types_by_name['DetectionModel'] = _DETECTIONMODEL
DESCRIPTOR.message_types_by_name['ExperimentalModel'] = _EXPERIMENTALMODEL
DetectionModel = _reflection.GeneratedProtocolMessageType('DetectionModel', (_message.Message,), dict(
DESCRIPTOR = _DETECTIONMODEL,
__module__ = 'object_detection.protos.model_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.DetectionModel)
))
_sym_db.RegisterMessage(DetectionModel)
ExperimentalModel = _reflection.GeneratedProtocolMessageType('ExperimentalModel', (_message.Message,), dict(
DESCRIPTOR = _EXPERIMENTALMODEL,
__module__ = 'object_detection.protos.model_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ExperimentalModel)
))
_sym_db.RegisterMessage(ExperimentalModel)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/multiscale_anchor_generator_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/multiscale_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/multiscale_anchor_generator.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n9object_detection/protos/multiscale_anchor_generator.proto\x12\x17object_detection.protos\"\xba\x01\n\x19MultiscaleAnchorGenerator\x12\x14\n\tmin_level\x18\x01 \x01(\x05:\x01\x33\x12\x14\n\tmax_level\x18\x02 \x01(\x05:\x01\x37\x12\x17\n\x0c\x61nchor_scale\x18\x03 \x01(\x02:\x01\x34\x12\x15\n\raspect_ratios\x18\x04 \x03(\x02\x12\x1c\n\x11scales_per_octave\x18\x05 \x01(\x05:\x01\x32\x12#\n\x15normalize_coordinates\x18\x06 \x01(\x08:\x04true')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_MULTISCALEANCHORGENERATOR = _descriptor.Descriptor(
name='MultiscaleAnchorGenerator',
full_name='object_detection.protos.MultiscaleAnchorGenerator',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_level', full_name='object_detection.protos.MultiscaleAnchorGenerator.min_level', index=0,
number=1, 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='max_level', full_name='object_detection.protos.MultiscaleAnchorGenerator.max_level', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=7,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='anchor_scale', full_name='object_detection.protos.MultiscaleAnchorGenerator.anchor_scale', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(4),
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.MultiscaleAnchorGenerator.aspect_ratios', index=3,
number=4, 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='scales_per_octave', full_name='object_detection.protos.MultiscaleAnchorGenerator.scales_per_octave', index=4,
number=5, 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='normalize_coordinates', full_name='object_detection.protos.MultiscaleAnchorGenerator.normalize_coordinates', index=5,
number=6, 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=87,
serialized_end=273,
)
DESCRIPTOR.message_types_by_name['MultiscaleAnchorGenerator'] = _MULTISCALEANCHORGENERATOR
MultiscaleAnchorGenerator = _reflection.GeneratedProtocolMessageType('MultiscaleAnchorGenerator', (_message.Message,), dict(
DESCRIPTOR = _MULTISCALEANCHORGENERATOR,
__module__ = 'object_detection.protos.multiscale_anchor_generator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.MultiscaleAnchorGenerator)
))
_sym_db.RegisterMessage(MultiscaleAnchorGenerator)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/optimizer_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/optimizer.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/optimizer.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n\'object_detection/protos/optimizer.proto\x12\x17object_detection.protos\"\xb5\x02\n\tOptimizer\x12G\n\x12rms_prop_optimizer\x18\x01 \x01(\x0b\x32).object_detection.protos.RMSPropOptimizerH\x00\x12H\n\x12momentum_optimizer\x18\x02 \x01(\x0b\x32*.object_detection.protos.MomentumOptimizerH\x00\x12@\n\x0e\x61\x64\x61m_optimizer\x18\x03 \x01(\x0b\x32&.object_detection.protos.AdamOptimizerH\x00\x12 \n\x12use_moving_average\x18\x04 \x01(\x08:\x04true\x12$\n\x14moving_average_decay\x18\x05 \x01(\x02:\x06\x30.9999B\x0b\n\toptimizer\"\x9f\x01\n\x10RMSPropOptimizer\x12<\n\rlearning_rate\x18\x01 \x01(\x0b\x32%.object_detection.protos.LearningRate\x12%\n\x18momentum_optimizer_value\x18\x02 \x01(\x02:\x03\x30.9\x12\x12\n\x05\x64\x65\x63\x61y\x18\x03 \x01(\x02:\x03\x30.9\x12\x12\n\x07\x65psilon\x18\x04 \x01(\x02:\x01\x31\"x\n\x11MomentumOptimizer\x12<\n\rlearning_rate\x18\x01 \x01(\x0b\x32%.object_detection.protos.LearningRate\x12%\n\x18momentum_optimizer_value\x18\x02 \x01(\x02:\x03\x30.9\"e\n\rAdamOptimizer\x12<\n\rlearning_rate\x18\x01 \x01(\x0b\x32%.object_detection.protos.LearningRate\x12\x16\n\x07\x65psilon\x18\x02 \x01(\x02:\x05\x31\x65-08\"\x80\x03\n\x0cLearningRate\x12O\n\x16\x63onstant_learning_rate\x18\x01 \x01(\x0b\x32-.object_detection.protos.ConstantLearningRateH\x00\x12`\n\x1f\x65xponential_decay_learning_rate\x18\x02 \x01(\x0b\x32\x35.object_detection.protos.ExponentialDecayLearningRateH\x00\x12T\n\x19manual_step_learning_rate\x18\x03 \x01(\x0b\x32/.object_detection.protos.ManualStepLearningRateH\x00\x12V\n\x1a\x63osine_decay_learning_rate\x18\x04 \x01(\x0b\x32\x30.object_detection.protos.CosineDecayLearningRateH\x00\x42\x0f\n\rlearning_rate\"4\n\x14\x43onstantLearningRate\x12\x1c\n\rlearning_rate\x18\x01 \x01(\x02:\x05\x30.002\"\xef\x01\n\x1c\x45xponentialDecayLearningRate\x12$\n\x15initial_learning_rate\x18\x01 \x01(\x02:\x05\x30.002\x12\x1c\n\x0b\x64\x65\x63\x61y_steps\x18\x02 \x01(\r:\x07\x34\x30\x30\x30\x30\x30\x30\x12\x1a\n\x0c\x64\x65\x63\x61y_factor\x18\x03 \x01(\x02:\x04\x30.95\x12\x17\n\tstaircase\x18\x04 \x01(\x08:\x04true\x12\x1f\n\x14\x62urnin_learning_rate\x18\x05 \x01(\x02:\x01\x30\x12\x17\n\x0c\x62urnin_steps\x18\x06 \x01(\r:\x01\x30\x12\x1c\n\x11min_learning_rate\x18\x07 \x01(\x02:\x01\x30\"\xf1\x01\n\x16ManualStepLearningRate\x12$\n\x15initial_learning_rate\x18\x01 \x01(\x02:\x05\x30.002\x12V\n\x08schedule\x18\x02 \x03(\x0b\x32\x44.object_detection.protos.ManualStepLearningRate.LearningRateSchedule\x12\x15\n\x06warmup\x18\x03 \x01(\x08:\x05\x66\x61lse\x1a\x42\n\x14LearningRateSchedule\x12\x0c\n\x04step\x18\x01 \x01(\r\x12\x1c\n\rlearning_rate\x18\x02 \x01(\x02:\x05\x30.002\"\xbe\x01\n\x17\x43osineDecayLearningRate\x12!\n\x12learning_rate_base\x18\x01 \x01(\x02:\x05\x30.002\x12\x1c\n\x0btotal_steps\x18\x02 \x01(\r:\x07\x34\x30\x30\x30\x30\x30\x30\x12$\n\x14warmup_learning_rate\x18\x03 \x01(\x02:\x06\x30.0002\x12\x1b\n\x0cwarmup_steps\x18\x04 \x01(\r:\x05\x31\x30\x30\x30\x30\x12\x1f\n\x14hold_base_rate_steps\x18\x05 \x01(\r:\x01\x30')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_OPTIMIZER = _descriptor.Descriptor(
name='Optimizer',
full_name='object_detection.protos.Optimizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='rms_prop_optimizer', full_name='object_detection.protos.Optimizer.rms_prop_optimizer', 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='momentum_optimizer', full_name='object_detection.protos.Optimizer.momentum_optimizer', 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='adam_optimizer', full_name='object_detection.protos.Optimizer.adam_optimizer', 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='use_moving_average', full_name='object_detection.protos.Optimizer.use_moving_average', 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='moving_average_decay', full_name='object_detection.protos.Optimizer.moving_average_decay', index=4,
number=5, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.9999),
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='optimizer', full_name='object_detection.protos.Optimizer.optimizer',
index=0, containing_type=None, fields=[]),
],
serialized_start=69,
serialized_end=378,
)
_RMSPROPOPTIMIZER = _descriptor.Descriptor(
name='RMSPropOptimizer',
full_name='object_detection.protos.RMSPropOptimizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='learning_rate', full_name='object_detection.protos.RMSPropOptimizer.learning_rate', 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='momentum_optimizer_value', full_name='object_detection.protos.RMSPropOptimizer.momentum_optimizer_value', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.9),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='decay', full_name='object_detection.protos.RMSPropOptimizer.decay', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.9),
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.RMSPropOptimizer.epsilon', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=381,
serialized_end=540,
)
_MOMENTUMOPTIMIZER = _descriptor.Descriptor(
name='MomentumOptimizer',
full_name='object_detection.protos.MomentumOptimizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='learning_rate', full_name='object_detection.protos.MomentumOptimizer.learning_rate', 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='momentum_optimizer_value', full_name='object_detection.protos.MomentumOptimizer.momentum_optimizer_value', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.9),
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=542,
serialized_end=662,
)
_ADAMOPTIMIZER = _descriptor.Descriptor(
name='AdamOptimizer',
full_name='object_detection.protos.AdamOptimizer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='learning_rate', full_name='object_detection.protos.AdamOptimizer.learning_rate', 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='epsilon', full_name='object_detection.protos.AdamOptimizer.epsilon', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1e-08),
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=664,
serialized_end=765,
)
_LEARNINGRATE = _descriptor.Descriptor(
name='LearningRate',
full_name='object_detection.protos.LearningRate',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='constant_learning_rate', full_name='object_detection.protos.LearningRate.constant_learning_rate', 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='exponential_decay_learning_rate', full_name='object_detection.protos.LearningRate.exponential_decay_learning_rate', 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='manual_step_learning_rate', full_name='object_detection.protos.LearningRate.manual_step_learning_rate', 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='cosine_decay_learning_rate', full_name='object_detection.protos.LearningRate.cosine_decay_learning_rate', 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='learning_rate', full_name='object_detection.protos.LearningRate.learning_rate',
index=0, containing_type=None, fields=[]),
],
serialized_start=768,
serialized_end=1152,
)
_CONSTANTLEARNINGRATE = _descriptor.Descriptor(
name='ConstantLearningRate',
full_name='object_detection.protos.ConstantLearningRate',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='learning_rate', full_name='object_detection.protos.ConstantLearningRate.learning_rate', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.002),
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=1154,
serialized_end=1206,
)
_EXPONENTIALDECAYLEARNINGRATE = _descriptor.Descriptor(
name='ExponentialDecayLearningRate',
full_name='object_detection.protos.ExponentialDecayLearningRate',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='initial_learning_rate', full_name='object_detection.protos.ExponentialDecayLearningRate.initial_learning_rate', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.002),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='decay_steps', full_name='object_detection.protos.ExponentialDecayLearningRate.decay_steps', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=4000000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='decay_factor', full_name='object_detection.protos.ExponentialDecayLearningRate.decay_factor', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.95),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='staircase', full_name='object_detection.protos.ExponentialDecayLearningRate.staircase', 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='burnin_learning_rate', full_name='object_detection.protos.ExponentialDecayLearningRate.burnin_learning_rate', index=4,
number=5, 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='burnin_steps', full_name='object_detection.protos.ExponentialDecayLearningRate.burnin_steps', 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),
_descriptor.FieldDescriptor(
name='min_learning_rate', full_name='object_detection.protos.ExponentialDecayLearningRate.min_learning_rate', index=6,
number=7, 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=1209,
serialized_end=1448,
)
_MANUALSTEPLEARNINGRATE_LEARNINGRATESCHEDULE = _descriptor.Descriptor(
name='LearningRateSchedule',
full_name='object_detection.protos.ManualStepLearningRate.LearningRateSchedule',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='step', full_name='object_detection.protos.ManualStepLearningRate.LearningRateSchedule.step', index=0,
number=1, 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='learning_rate', full_name='object_detection.protos.ManualStepLearningRate.LearningRateSchedule.learning_rate', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.002),
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=1626,
serialized_end=1692,
)
_MANUALSTEPLEARNINGRATE = _descriptor.Descriptor(
name='ManualStepLearningRate',
full_name='object_detection.protos.ManualStepLearningRate',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='initial_learning_rate', full_name='object_detection.protos.ManualStepLearningRate.initial_learning_rate', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.002),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='schedule', full_name='object_detection.protos.ManualStepLearningRate.schedule', 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),
_descriptor.FieldDescriptor(
name='warmup', full_name='object_detection.protos.ManualStepLearningRate.warmup', 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=[_MANUALSTEPLEARNINGRATE_LEARNINGRATESCHEDULE, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1451,
serialized_end=1692,
)
_COSINEDECAYLEARNINGRATE = _descriptor.Descriptor(
name='CosineDecayLearningRate',
full_name='object_detection.protos.CosineDecayLearningRate',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='learning_rate_base', full_name='object_detection.protos.CosineDecayLearningRate.learning_rate_base', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.002),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='total_steps', full_name='object_detection.protos.CosineDecayLearningRate.total_steps', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=4000000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='warmup_learning_rate', full_name='object_detection.protos.CosineDecayLearningRate.warmup_learning_rate', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.0002),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='warmup_steps', full_name='object_detection.protos.CosineDecayLearningRate.warmup_steps', index=3,
number=4, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=10000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hold_base_rate_steps', full_name='object_detection.protos.CosineDecayLearningRate.hold_base_rate_steps', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1695,
serialized_end=1885,
)
_OPTIMIZER.fields_by_name['rms_prop_optimizer'].message_type = _RMSPROPOPTIMIZER
_OPTIMIZER.fields_by_name['momentum_optimizer'].message_type = _MOMENTUMOPTIMIZER
_OPTIMIZER.fields_by_name['adam_optimizer'].message_type = _ADAMOPTIMIZER
_OPTIMIZER.oneofs_by_name['optimizer'].fields.append(
_OPTIMIZER.fields_by_name['rms_prop_optimizer'])
_OPTIMIZER.fields_by_name['rms_prop_optimizer'].containing_oneof = _OPTIMIZER.oneofs_by_name['optimizer']
_OPTIMIZER.oneofs_by_name['optimizer'].fields.append(
_OPTIMIZER.fields_by_name['momentum_optimizer'])
_OPTIMIZER.fields_by_name['momentum_optimizer'].containing_oneof = _OPTIMIZER.oneofs_by_name['optimizer']
_OPTIMIZER.oneofs_by_name['optimizer'].fields.append(
_OPTIMIZER.fields_by_name['adam_optimizer'])
_OPTIMIZER.fields_by_name['adam_optimizer'].containing_oneof = _OPTIMIZER.oneofs_by_name['optimizer']
_RMSPROPOPTIMIZER.fields_by_name['learning_rate'].message_type = _LEARNINGRATE
_MOMENTUMOPTIMIZER.fields_by_name['learning_rate'].message_type = _LEARNINGRATE
_ADAMOPTIMIZER.fields_by_name['learning_rate'].message_type = _LEARNINGRATE
_LEARNINGRATE.fields_by_name['constant_learning_rate'].message_type = _CONSTANTLEARNINGRATE
_LEARNINGRATE.fields_by_name['exponential_decay_learning_rate'].message_type = _EXPONENTIALDECAYLEARNINGRATE
_LEARNINGRATE.fields_by_name['manual_step_learning_rate'].message_type = _MANUALSTEPLEARNINGRATE
_LEARNINGRATE.fields_by_name['cosine_decay_learning_rate'].message_type = _COSINEDECAYLEARNINGRATE
_LEARNINGRATE.oneofs_by_name['learning_rate'].fields.append(
_LEARNINGRATE.fields_by_name['constant_learning_rate'])
_LEARNINGRATE.fields_by_name['constant_learning_rate'].containing_oneof = _LEARNINGRATE.oneofs_by_name['learning_rate']
_LEARNINGRATE.oneofs_by_name['learning_rate'].fields.append(
_LEARNINGRATE.fields_by_name['exponential_decay_learning_rate'])
_LEARNINGRATE.fields_by_name['exponential_decay_learning_rate'].containing_oneof = _LEARNINGRATE.oneofs_by_name['learning_rate']
_LEARNINGRATE.oneofs_by_name['learning_rate'].fields.append(
_LEARNINGRATE.fields_by_name['manual_step_learning_rate'])
_LEARNINGRATE.fields_by_name['manual_step_learning_rate'].containing_oneof = _LEARNINGRATE.oneofs_by_name['learning_rate']
_LEARNINGRATE.oneofs_by_name['learning_rate'].fields.append(
_LEARNINGRATE.fields_by_name['cosine_decay_learning_rate'])
_LEARNINGRATE.fields_by_name['cosine_decay_learning_rate'].containing_oneof = _LEARNINGRATE.oneofs_by_name['learning_rate']
_MANUALSTEPLEARNINGRATE_LEARNINGRATESCHEDULE.containing_type = _MANUALSTEPLEARNINGRATE
_MANUALSTEPLEARNINGRATE.fields_by_name['schedule'].message_type = _MANUALSTEPLEARNINGRATE_LEARNINGRATESCHEDULE
DESCRIPTOR.message_types_by_name['Optimizer'] = _OPTIMIZER
DESCRIPTOR.message_types_by_name['RMSPropOptimizer'] = _RMSPROPOPTIMIZER
DESCRIPTOR.message_types_by_name['MomentumOptimizer'] = _MOMENTUMOPTIMIZER
DESCRIPTOR.message_types_by_name['AdamOptimizer'] = _ADAMOPTIMIZER
DESCRIPTOR.message_types_by_name['LearningRate'] = _LEARNINGRATE
DESCRIPTOR.message_types_by_name['ConstantLearningRate'] = _CONSTANTLEARNINGRATE
DESCRIPTOR.message_types_by_name['ExponentialDecayLearningRate'] = _EXPONENTIALDECAYLEARNINGRATE
DESCRIPTOR.message_types_by_name['ManualStepLearningRate'] = _MANUALSTEPLEARNINGRATE
DESCRIPTOR.message_types_by_name['CosineDecayLearningRate'] = _COSINEDECAYLEARNINGRATE
Optimizer = _reflection.GeneratedProtocolMessageType('Optimizer', (_message.Message,), dict(
DESCRIPTOR = _OPTIMIZER,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Optimizer)
))
_sym_db.RegisterMessage(Optimizer)
RMSPropOptimizer = _reflection.GeneratedProtocolMessageType('RMSPropOptimizer', (_message.Message,), dict(
DESCRIPTOR = _RMSPROPOPTIMIZER,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RMSPropOptimizer)
))
_sym_db.RegisterMessage(RMSPropOptimizer)
MomentumOptimizer = _reflection.GeneratedProtocolMessageType('MomentumOptimizer', (_message.Message,), dict(
DESCRIPTOR = _MOMENTUMOPTIMIZER,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.MomentumOptimizer)
))
_sym_db.RegisterMessage(MomentumOptimizer)
AdamOptimizer = _reflection.GeneratedProtocolMessageType('AdamOptimizer', (_message.Message,), dict(
DESCRIPTOR = _ADAMOPTIMIZER,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.AdamOptimizer)
))
_sym_db.RegisterMessage(AdamOptimizer)
LearningRate = _reflection.GeneratedProtocolMessageType('LearningRate', (_message.Message,), dict(
DESCRIPTOR = _LEARNINGRATE,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.LearningRate)
))
_sym_db.RegisterMessage(LearningRate)
ConstantLearningRate = _reflection.GeneratedProtocolMessageType('ConstantLearningRate', (_message.Message,), dict(
DESCRIPTOR = _CONSTANTLEARNINGRATE,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ConstantLearningRate)
))
_sym_db.RegisterMessage(ConstantLearningRate)
ExponentialDecayLearningRate = _reflection.GeneratedProtocolMessageType('ExponentialDecayLearningRate', (_message.Message,), dict(
DESCRIPTOR = _EXPONENTIALDECAYLEARNINGRATE,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ExponentialDecayLearningRate)
))
_sym_db.RegisterMessage(ExponentialDecayLearningRate)
ManualStepLearningRate = _reflection.GeneratedProtocolMessageType('ManualStepLearningRate', (_message.Message,), dict(
LearningRateSchedule = _reflection.GeneratedProtocolMessageType('LearningRateSchedule', (_message.Message,), dict(
DESCRIPTOR = _MANUALSTEPLEARNINGRATE_LEARNINGRATESCHEDULE,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ManualStepLearningRate.LearningRateSchedule)
))
,
DESCRIPTOR = _MANUALSTEPLEARNINGRATE,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ManualStepLearningRate)
))
_sym_db.RegisterMessage(ManualStepLearningRate)
_sym_db.RegisterMessage(ManualStepLearningRate.LearningRateSchedule)
CosineDecayLearningRate = _reflection.GeneratedProtocolMessageType('CosineDecayLearningRate', (_message.Message,), dict(
DESCRIPTOR = _COSINEDECAYLEARNINGRATE,
__module__ = 'object_detection.protos.optimizer_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.CosineDecayLearningRate)
))
_sym_db.RegisterMessage(CosineDecayLearningRate)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/pipeline_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/pipeline.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 eval_pb2 as object__detection_dot_protos_dot_eval__pb2
from object_detection.protos import graph_rewriter_pb2 as object__detection_dot_protos_dot_graph__rewriter__pb2
from object_detection.protos import input_reader_pb2 as object__detection_dot_protos_dot_input__reader__pb2
from object_detection.protos import model_pb2 as object__detection_dot_protos_dot_model__pb2
from object_detection.protos import train_pb2 as object__detection_dot_protos_dot_train__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/pipeline.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n&object_detection/protos/pipeline.proto\x12\x17object_detection.protos\x1a\"object_detection/protos/eval.proto\x1a,object_detection/protos/graph_rewriter.proto\x1a*object_detection/protos/input_reader.proto\x1a#object_detection/protos/model.proto\x1a#object_detection/protos/train.proto\"\x95\x03\n\x17TrainEvalPipelineConfig\x12\x36\n\x05model\x18\x01 \x01(\x0b\x32\'.object_detection.protos.DetectionModel\x12:\n\x0ctrain_config\x18\x02 \x01(\x0b\x32$.object_detection.protos.TrainConfig\x12@\n\x12train_input_reader\x18\x03 \x01(\x0b\x32$.object_detection.protos.InputReader\x12\x38\n\x0b\x65val_config\x18\x04 \x01(\x0b\x32#.object_detection.protos.EvalConfig\x12?\n\x11\x65val_input_reader\x18\x05 \x03(\x0b\x32$.object_detection.protos.InputReader\x12>\n\x0egraph_rewriter\x18\x06 \x01(\x0b\x32&.object_detection.protos.GraphRewriter*\t\x08\xe8\x07\x10\x80\x80\x80\x80\x02')
,
dependencies=[object__detection_dot_protos_dot_eval__pb2.DESCRIPTOR,object__detection_dot_protos_dot_graph__rewriter__pb2.DESCRIPTOR,object__detection_dot_protos_dot_input__reader__pb2.DESCRIPTOR,object__detection_dot_protos_dot_model__pb2.DESCRIPTOR,object__detection_dot_protos_dot_train__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_TRAINEVALPIPELINECONFIG = _descriptor.Descriptor(
name='TrainEvalPipelineConfig',
full_name='object_detection.protos.TrainEvalPipelineConfig',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='model', full_name='object_detection.protos.TrainEvalPipelineConfig.model', 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='train_config', full_name='object_detection.protos.TrainEvalPipelineConfig.train_config', 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='train_input_reader', full_name='object_detection.protos.TrainEvalPipelineConfig.train_input_reader', 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='eval_config', full_name='object_detection.protos.TrainEvalPipelineConfig.eval_config', 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='eval_input_reader', full_name='object_detection.protos.TrainEvalPipelineConfig.eval_input_reader', 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='graph_rewriter', full_name='object_detection.protos.TrainEvalPipelineConfig.graph_rewriter', 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=True,
syntax='proto2',
extension_ranges=[(1000, 536870912), ],
oneofs=[
],
serialized_start=268,
serialized_end=673,
)
_TRAINEVALPIPELINECONFIG.fields_by_name['model'].message_type = object__detection_dot_protos_dot_model__pb2._DETECTIONMODEL
_TRAINEVALPIPELINECONFIG.fields_by_name['train_config'].message_type = object__detection_dot_protos_dot_train__pb2._TRAINCONFIG
_TRAINEVALPIPELINECONFIG.fields_by_name['train_input_reader'].message_type = object__detection_dot_protos_dot_input__reader__pb2._INPUTREADER
_TRAINEVALPIPELINECONFIG.fields_by_name['eval_config'].message_type = object__detection_dot_protos_dot_eval__pb2._EVALCONFIG
_TRAINEVALPIPELINECONFIG.fields_by_name['eval_input_reader'].message_type = object__detection_dot_protos_dot_input__reader__pb2._INPUTREADER
_TRAINEVALPIPELINECONFIG.fields_by_name['graph_rewriter'].message_type = object__detection_dot_protos_dot_graph__rewriter__pb2._GRAPHREWRITER
DESCRIPTOR.message_types_by_name['TrainEvalPipelineConfig'] = _TRAINEVALPIPELINECONFIG
TrainEvalPipelineConfig = _reflection.GeneratedProtocolMessageType('TrainEvalPipelineConfig', (_message.Message,), dict(
DESCRIPTOR = _TRAINEVALPIPELINECONFIG,
__module__ = 'object_detection.protos.pipeline_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.TrainEvalPipelineConfig)
))
_sym_db.RegisterMessage(TrainEvalPipelineConfig)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/post_processing_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/post_processing.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 calibration_pb2 as object__detection_dot_protos_dot_calibration__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/post_processing.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n-object_detection/protos/post_processing.proto\x12\x17object_detection.protos\x1a)object_detection/protos/calibration.proto\"\xad\x03\n\x16\x42\x61tchNonMaxSuppression\x12\x1a\n\x0fscore_threshold\x18\x01 \x01(\x02:\x01\x30\x12\x1a\n\riou_threshold\x18\x02 \x01(\x02:\x03\x30.6\x12%\n\x18max_detections_per_class\x18\x03 \x01(\x05:\x03\x31\x30\x30\x12!\n\x14max_total_detections\x18\x05 \x01(\x05:\x03\x31\x30\x30\x12 \n\x11use_static_shapes\x18\x06 \x01(\x08:\x05\x66\x61lse\x12%\n\x16use_class_agnostic_nms\x18\x07 \x01(\x08:\x05\x66\x61lse\x12$\n\x19max_classes_per_detection\x18\x08 \x01(\x05:\x01\x31\x12\x19\n\x0esoft_nms_sigma\x18\t \x01(\x02:\x01\x30\x12\"\n\x13use_partitioned_nms\x18\n \x01(\x08:\x05\x66\x61lse\x12\x1f\n\x10use_combined_nms\x18\x0b \x01(\x08:\x05\x66\x61lse\x12%\n\x17\x63hange_coordinate_frame\x18\x0c \x01(\x08:\x04true\x12\x1b\n\x0cuse_hard_nms\x18\r \x01(\x08:\x05\x66\x61lse\"\xd9\x02\n\x0ePostProcessing\x12R\n\x19\x62\x61tch_non_max_suppression\x18\x01 \x01(\x0b\x32/.object_detection.protos.BatchNonMaxSuppression\x12Y\n\x0fscore_converter\x18\x02 \x01(\x0e\x32\x36.object_detection.protos.PostProcessing.ScoreConverter:\x08IDENTITY\x12\x16\n\x0blogit_scale\x18\x03 \x01(\x02:\x01\x31\x12\x46\n\x12\x63\x61libration_config\x18\x04 \x01(\x0b\x32*.object_detection.protos.CalibrationConfig\"8\n\x0eScoreConverter\x12\x0c\n\x08IDENTITY\x10\x00\x12\x0b\n\x07SIGMOID\x10\x01\x12\x0b\n\x07SOFTMAX\x10\x02')
,
dependencies=[object__detection_dot_protos_dot_calibration__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_POSTPROCESSING_SCORECONVERTER = _descriptor.EnumDescriptor(
name='ScoreConverter',
full_name='object_detection.protos.PostProcessing.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),
_descriptor.EnumValueDescriptor(
name='SOFTMAX', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=839,
serialized_end=895,
)
_sym_db.RegisterEnumDescriptor(_POSTPROCESSING_SCORECONVERTER)
_BATCHNONMAXSUPPRESSION = _descriptor.Descriptor(
name='BatchNonMaxSuppression',
full_name='object_detection.protos.BatchNonMaxSuppression',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='score_threshold', full_name='object_detection.protos.BatchNonMaxSuppression.score_threshold', 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='iou_threshold', full_name='object_detection.protos.BatchNonMaxSuppression.iou_threshold', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.6),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_detections_per_class', full_name='object_detection.protos.BatchNonMaxSuppression.max_detections_per_class', index=2,
number=3, 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='max_total_detections', full_name='object_detection.protos.BatchNonMaxSuppression.max_total_detections', index=3,
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_static_shapes', full_name='object_detection.protos.BatchNonMaxSuppression.use_static_shapes', index=4,
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='use_class_agnostic_nms', full_name='object_detection.protos.BatchNonMaxSuppression.use_class_agnostic_nms', index=5,
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='max_classes_per_detection', full_name='object_detection.protos.BatchNonMaxSuppression.max_classes_per_detection', index=6,
number=8, 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='soft_nms_sigma', full_name='object_detection.protos.BatchNonMaxSuppression.soft_nms_sigma', index=7,
number=9, 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_partitioned_nms', full_name='object_detection.protos.BatchNonMaxSuppression.use_partitioned_nms', index=8,
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_combined_nms', full_name='object_detection.protos.BatchNonMaxSuppression.use_combined_nms', index=9,
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='change_coordinate_frame', full_name='object_detection.protos.BatchNonMaxSuppression.change_coordinate_frame', index=10,
number=12, 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_hard_nms', full_name='object_detection.protos.BatchNonMaxSuppression.use_hard_nms', index=11,
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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=118,
serialized_end=547,
)
_POSTPROCESSING = _descriptor.Descriptor(
name='PostProcessing',
full_name='object_detection.protos.PostProcessing',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='batch_non_max_suppression', full_name='object_detection.protos.PostProcessing.batch_non_max_suppression', 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='score_converter', full_name='object_detection.protos.PostProcessing.score_converter', index=1,
number=2, 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='logit_scale', full_name='object_detection.protos.PostProcessing.logit_scale', index=2,
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='calibration_config', full_name='object_detection.protos.PostProcessing.calibration_config', 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=[
_POSTPROCESSING_SCORECONVERTER,
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=550,
serialized_end=895,
)
_POSTPROCESSING.fields_by_name['batch_non_max_suppression'].message_type = _BATCHNONMAXSUPPRESSION
_POSTPROCESSING.fields_by_name['score_converter'].enum_type = _POSTPROCESSING_SCORECONVERTER
_POSTPROCESSING.fields_by_name['calibration_config'].message_type = object__detection_dot_protos_dot_calibration__pb2._CALIBRATIONCONFIG
_POSTPROCESSING_SCORECONVERTER.containing_type = _POSTPROCESSING
DESCRIPTOR.message_types_by_name['BatchNonMaxSuppression'] = _BATCHNONMAXSUPPRESSION
DESCRIPTOR.message_types_by_name['PostProcessing'] = _POSTPROCESSING
BatchNonMaxSuppression = _reflection.GeneratedProtocolMessageType('BatchNonMaxSuppression', (_message.Message,), dict(
DESCRIPTOR = _BATCHNONMAXSUPPRESSION,
__module__ = 'object_detection.protos.post_processing_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.BatchNonMaxSuppression)
))
_sym_db.RegisterMessage(BatchNonMaxSuppression)
PostProcessing = _reflection.GeneratedProtocolMessageType('PostProcessing', (_message.Message,), dict(
DESCRIPTOR = _POSTPROCESSING,
__module__ = 'object_detection.protos.post_processing_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.PostProcessing)
))
_sym_db.RegisterMessage(PostProcessing)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/preprocessor_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/preprocessor.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/preprocessor.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n*object_detection/protos/preprocessor.proto\x12\x17object_detection.protos\"\x97\x18\n\x11PreprocessingStep\x12\x42\n\x0fnormalize_image\x18\x01 \x01(\x0b\x32\'.object_detection.protos.NormalizeImageH\x00\x12O\n\x16random_horizontal_flip\x18\x02 \x01(\x0b\x32-.object_detection.protos.RandomHorizontalFlipH\x00\x12R\n\x18random_pixel_value_scale\x18\x03 \x01(\x0b\x32..object_detection.protos.RandomPixelValueScaleH\x00\x12G\n\x12random_image_scale\x18\x04 \x01(\x0b\x32).object_detection.protos.RandomImageScaleH\x00\x12\x46\n\x12random_rgb_to_gray\x18\x05 \x01(\x0b\x32(.object_detection.protos.RandomRGBtoGrayH\x00\x12S\n\x18random_adjust_brightness\x18\x06 \x01(\x0b\x32/.object_detection.protos.RandomAdjustBrightnessH\x00\x12O\n\x16random_adjust_contrast\x18\x07 \x01(\x0b\x32-.object_detection.protos.RandomAdjustContrastH\x00\x12\x45\n\x11random_adjust_hue\x18\x08 \x01(\x0b\x32(.object_detection.protos.RandomAdjustHueH\x00\x12S\n\x18random_adjust_saturation\x18\t 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_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_RESIZEIMAGE_METHOD = _descriptor.EnumDescriptor(
name='Method',
full_name='object_detection.protos.ResizeImage.Method',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='AREA', index=0, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BICUBIC', index=1, number=2,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BILINEAR', index=2, number=3,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NEAREST_NEIGHBOR', index=3, number=4,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=5315,
serialized_end=5382,
)
_sym_db.RegisterEnumDescriptor(_RESIZEIMAGE_METHOD)
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name='PreprocessingStep',
full_name='object_detection.protos.PreprocessingStep',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='normalize_image', full_name='object_detection.protos.PreprocessingStep.normalize_image', 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='random_horizontal_flip', full_name='object_detection.protos.PreprocessingStep.random_horizontal_flip', 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(
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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='random_image_scale', full_name='object_detection.protos.PreprocessingStep.random_image_scale', 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='random_rgb_to_gray', full_name='object_detection.protos.PreprocessingStep.random_rgb_to_gray', 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='random_adjust_brightness', full_name='object_detection.protos.PreprocessingStep.random_adjust_brightness', 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='random_adjust_contrast', full_name='object_detection.protos.PreprocessingStep.random_adjust_contrast', 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='random_adjust_hue', full_name='object_detection.protos.PreprocessingStep.random_adjust_hue', 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),
_descriptor.FieldDescriptor(
name='random_adjust_saturation', full_name='object_detection.protos.PreprocessingStep.random_adjust_saturation', index=8,
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='random_distort_color', full_name='object_detection.protos.PreprocessingStep.random_distort_color', index=9,
number=10, 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_jitter_boxes', full_name='object_detection.protos.PreprocessingStep.random_jitter_boxes', index=10,
number=11, 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_crop_image', full_name='object_detection.protos.PreprocessingStep.random_crop_image', 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),
_descriptor.FieldDescriptor(
name='random_pad_image', full_name='object_detection.protos.PreprocessingStep.random_pad_image', index=12,
number=13, type=11, cpp_type=10, 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='random_crop_pad_image', full_name='object_detection.protos.PreprocessingStep.random_crop_pad_image', index=13,
number=14, 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=15, type=11, cpp_type=10, 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(
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message_type=None, enum_type=None, containing_type=None,
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options=None),
_descriptor.FieldDescriptor(
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message_type=None, enum_type=None, containing_type=None,
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options=None),
_descriptor.FieldDescriptor(
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message_type=None, enum_type=None, containing_type=None,
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options=None),
_descriptor.FieldDescriptor(
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message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
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number=20, type=11, cpp_type=10, label=1,
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_descriptor.FieldDescriptor(
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number=21, type=11, cpp_type=10, label=1,
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is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
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message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
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number=23, 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=24, type=11, cpp_type=10, 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(
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message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
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_descriptor.FieldDescriptor(
name='rgb_to_gray', full_name='object_detection.protos.PreprocessingStep.rgb_to_gray', index=26,
number=27, 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='convert_class_logits_to_softmax', full_name='object_detection.protos.PreprocessingStep.convert_class_logits_to_softmax', index=27,
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='random_absolute_pad_image', full_name='object_detection.protos.PreprocessingStep.random_absolute_pad_image', index=28,
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='random_self_concat_image', full_name='object_detection.protos.PreprocessingStep.random_self_concat_image', index=29,
number=30, 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='autoaugment_image', full_name='object_detection.protos.PreprocessingStep.autoaugment_image', index=30,
number=31, 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='drop_label_probabilistically', full_name='object_detection.protos.PreprocessingStep.drop_label_probabilistically', index=31,
number=32, 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='remap_labels', full_name='object_detection.protos.PreprocessingStep.remap_labels', index=32,
number=33, 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_jpeg_quality', full_name='object_detection.protos.PreprocessingStep.random_jpeg_quality', index=33,
number=34, 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_downscale_to_target_pixels', full_name='object_detection.protos.PreprocessingStep.random_downscale_to_target_pixels', index=34,
number=35, 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_patch_gaussian', full_name='object_detection.protos.PreprocessingStep.random_patch_gaussian', index=35,
number=36, 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_square_crop_by_scale', full_name='object_detection.protos.PreprocessingStep.random_square_crop_by_scale', index=36,
number=37, 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_scale_crop_and_pad_to_square', full_name='object_detection.protos.PreprocessingStep.random_scale_crop_and_pad_to_square', index=37,
number=38, 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='preprocessing_step', full_name='object_detection.protos.PreprocessingStep.preprocessing_step',
index=0, containing_type=None, fields=[]),
],
serialized_start=72,
serialized_end=3167,
)
_NORMALIZEIMAGE = _descriptor.Descriptor(
name='NormalizeImage',
full_name='object_detection.protos.NormalizeImage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='original_minval', full_name='object_detection.protos.NormalizeImage.original_minval', 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='original_maxval', full_name='object_detection.protos.NormalizeImage.original_maxval', 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),
_descriptor.FieldDescriptor(
name='target_minval', full_name='object_detection.protos.NormalizeImage.target_minval', index=2,
number=3, 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='target_maxval', full_name='object_detection.protos.NormalizeImage.target_maxval', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3169,
serialized_end=3287,
)
_RANDOMHORIZONTALFLIP = _descriptor.Descriptor(
name='RandomHorizontalFlip',
full_name='object_detection.protos.RandomHorizontalFlip',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='keypoint_flip_permutation', full_name='object_detection.protos.RandomHorizontalFlip.keypoint_flip_permutation', index=0,
number=1, type=5, cpp_type=1, 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='probability', full_name='object_detection.protos.RandomHorizontalFlip.probability', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3289,
serialized_end=3372,
)
_RANDOMVERTICALFLIP = _descriptor.Descriptor(
name='RandomVerticalFlip',
full_name='object_detection.protos.RandomVerticalFlip',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='keypoint_flip_permutation', full_name='object_detection.protos.RandomVerticalFlip.keypoint_flip_permutation', index=0,
number=1, type=5, cpp_type=1, 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='probability', full_name='object_detection.protos.RandomVerticalFlip.probability', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3374,
serialized_end=3455,
)
_RANDOMROTATION90 = _descriptor.Descriptor(
name='RandomRotation90',
full_name='object_detection.protos.RandomRotation90',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='keypoint_rot_permutation', full_name='object_detection.protos.RandomRotation90.keypoint_rot_permutation', index=0,
number=1, type=5, cpp_type=1, 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='probability', full_name='object_detection.protos.RandomRotation90.probability', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3457,
serialized_end=3535,
)
_RANDOMPIXELVALUESCALE = _descriptor.Descriptor(
name='RandomPixelValueScale',
full_name='object_detection.protos.RandomPixelValueScale',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='minval', full_name='object_detection.protos.RandomPixelValueScale.minval', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.9),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='maxval', full_name='object_detection.protos.RandomPixelValueScale.maxval', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1.1),
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=3537,
serialized_end=3602,
)
_RANDOMIMAGESCALE = _descriptor.Descriptor(
name='RandomImageScale',
full_name='object_detection.protos.RandomImageScale',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_scale_ratio', full_name='object_detection.protos.RandomImageScale.min_scale_ratio', 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='max_scale_ratio', full_name='object_detection.protos.RandomImageScale.max_scale_ratio', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3604,
serialized_end=3680,
)
_RANDOMRGBTOGRAY = _descriptor.Descriptor(
name='RandomRGBtoGray',
full_name='object_detection.protos.RandomRGBtoGray',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='probability', full_name='object_detection.protos.RandomRGBtoGray.probability', index=0,
number=1, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3682,
serialized_end=3725,
)
_RANDOMADJUSTBRIGHTNESS = _descriptor.Descriptor(
name='RandomAdjustBrightness',
full_name='object_detection.protos.RandomAdjustBrightness',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='max_delta', full_name='object_detection.protos.RandomAdjustBrightness.max_delta', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.2),
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=3727,
serialized_end=3775,
)
_RANDOMADJUSTCONTRAST = _descriptor.Descriptor(
name='RandomAdjustContrast',
full_name='object_detection.protos.RandomAdjustContrast',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_delta', full_name='object_detection.protos.RandomAdjustContrast.min_delta', index=0,
number=1, 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='max_delta', full_name='object_detection.protos.RandomAdjustContrast.max_delta', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1.25),
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=3777,
serialized_end=3848,
)
_RANDOMADJUSTHUE = _descriptor.Descriptor(
name='RandomAdjustHue',
full_name='object_detection.protos.RandomAdjustHue',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='max_delta', full_name='object_detection.protos.RandomAdjustHue.max_delta', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.02),
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=3850,
serialized_end=3892,
)
_RANDOMADJUSTSATURATION = _descriptor.Descriptor(
name='RandomAdjustSaturation',
full_name='object_detection.protos.RandomAdjustSaturation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_delta', full_name='object_detection.protos.RandomAdjustSaturation.min_delta', index=0,
number=1, 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='max_delta', full_name='object_detection.protos.RandomAdjustSaturation.max_delta', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1.25),
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=3894,
serialized_end=3967,
)
_RANDOMDISTORTCOLOR = _descriptor.Descriptor(
name='RandomDistortColor',
full_name='object_detection.protos.RandomDistortColor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='color_ordering', full_name='object_detection.protos.RandomDistortColor.color_ordering', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3969,
serialized_end=4013,
)
_RANDOMJITTERBOXES = _descriptor.Descriptor(
name='RandomJitterBoxes',
full_name='object_detection.protos.RandomJitterBoxes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='ratio', full_name='object_detection.protos.RandomJitterBoxes.ratio', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.05),
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=4015,
serialized_end=4055,
)
_RANDOMCROPIMAGE = _descriptor.Descriptor(
name='RandomCropImage',
full_name='object_detection.protos.RandomCropImage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_object_covered', full_name='object_detection.protos.RandomCropImage.min_object_covered', 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='min_aspect_ratio', full_name='object_detection.protos.RandomCropImage.min_aspect_ratio', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.75),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_aspect_ratio', full_name='object_detection.protos.RandomCropImage.max_aspect_ratio', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1.33),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_area', full_name='object_detection.protos.RandomCropImage.min_area', index=3,
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='max_area', full_name='object_detection.protos.RandomCropImage.max_area', 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='overlap_thresh', full_name='object_detection.protos.RandomCropImage.overlap_thresh', index=5,
number=6, 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='clip_boxes', full_name='object_detection.protos.RandomCropImage.clip_boxes', index=6,
number=8, 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='random_coef', full_name='object_detection.protos.RandomCropImage.random_coef', index=7,
number=7, 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=4058,
serialized_end=4293,
)
_RANDOMPADIMAGE = _descriptor.Descriptor(
name='RandomPadImage',
full_name='object_detection.protos.RandomPadImage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_image_height', full_name='object_detection.protos.RandomPadImage.min_image_height', 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='min_image_width', full_name='object_detection.protos.RandomPadImage.min_image_width', 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),
_descriptor.FieldDescriptor(
name='max_image_height', full_name='object_detection.protos.RandomPadImage.max_image_height', index=2,
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='max_image_width', full_name='object_detection.protos.RandomPadImage.max_image_width', index=3,
number=4, 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='pad_color', full_name='object_detection.protos.RandomPadImage.pad_color', index=4,
number=5, 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=4296,
serialized_end=4433,
)
_RANDOMABSOLUTEPADIMAGE = _descriptor.Descriptor(
name='RandomAbsolutePadImage',
full_name='object_detection.protos.RandomAbsolutePadImage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='max_height_padding', full_name='object_detection.protos.RandomAbsolutePadImage.max_height_padding', 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='max_width_padding', full_name='object_detection.protos.RandomAbsolutePadImage.max_width_padding', 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),
_descriptor.FieldDescriptor(
name='pad_color', full_name='object_detection.protos.RandomAbsolutePadImage.pad_color', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4435,
serialized_end=4533,
)
_RANDOMCROPPADIMAGE = _descriptor.Descriptor(
name='RandomCropPadImage',
full_name='object_detection.protos.RandomCropPadImage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_object_covered', full_name='object_detection.protos.RandomCropPadImage.min_object_covered', 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='min_aspect_ratio', full_name='object_detection.protos.RandomCropPadImage.min_aspect_ratio', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.75),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_aspect_ratio', full_name='object_detection.protos.RandomCropPadImage.max_aspect_ratio', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1.33),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_area', full_name='object_detection.protos.RandomCropPadImage.min_area', index=3,
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='max_area', full_name='object_detection.protos.RandomCropPadImage.max_area', 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='overlap_thresh', full_name='object_detection.protos.RandomCropPadImage.overlap_thresh', index=5,
number=6, 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='clip_boxes', full_name='object_detection.protos.RandomCropPadImage.clip_boxes', index=6,
number=11, 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='random_coef', full_name='object_detection.protos.RandomCropPadImage.random_coef', index=7,
number=7, 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='min_padded_size_ratio', full_name='object_detection.protos.RandomCropPadImage.min_padded_size_ratio', index=8,
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),
_descriptor.FieldDescriptor(
name='max_padded_size_ratio', full_name='object_detection.protos.RandomCropPadImage.max_padded_size_ratio', index=9,
number=9, 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='pad_color', full_name='object_detection.protos.RandomCropPadImage.pad_color', index=10,
number=10, 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=4536,
serialized_end=4855,
)
_RANDOMCROPTOASPECTRATIO = _descriptor.Descriptor(
name='RandomCropToAspectRatio',
full_name='object_detection.protos.RandomCropToAspectRatio',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='aspect_ratio', full_name='object_detection.protos.RandomCropToAspectRatio.aspect_ratio', 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='overlap_thresh', full_name='object_detection.protos.RandomCropToAspectRatio.overlap_thresh', index=1,
number=2, 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='clip_boxes', full_name='object_detection.protos.RandomCropToAspectRatio.clip_boxes', index=2,
number=3, 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=4857,
serialized_end=4962,
)
_RANDOMBLACKPATCHES = _descriptor.Descriptor(
name='RandomBlackPatches',
full_name='object_detection.protos.RandomBlackPatches',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='max_black_patches', full_name='object_detection.protos.RandomBlackPatches.max_black_patches', index=0,
number=1, type=5, cpp_type=1, 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='probability', full_name='object_detection.protos.RandomBlackPatches.probability', 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='size_to_image_ratio', full_name='object_detection.protos.RandomBlackPatches.size_to_image_ratio', index=2,
number=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4964,
serialized_end=5075,
)
_RANDOMRESIZEMETHOD = _descriptor.Descriptor(
name='RandomResizeMethod',
full_name='object_detection.protos.RandomResizeMethod',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='target_height', full_name='object_detection.protos.RandomResizeMethod.target_height', 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='target_width', full_name='object_detection.protos.RandomResizeMethod.target_width', 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=5077,
serialized_end=5142,
)
_RGBTOGRAY = _descriptor.Descriptor(
name='RGBtoGray',
full_name='object_detection.protos.RGBtoGray',
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=5144,
serialized_end=5155,
)
_SCALEBOXESTOPIXELCOORDINATES = _descriptor.Descriptor(
name='ScaleBoxesToPixelCoordinates',
full_name='object_detection.protos.ScaleBoxesToPixelCoordinates',
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=5157,
serialized_end=5187,
)
_RESIZEIMAGE = _descriptor.Descriptor(
name='ResizeImage',
full_name='object_detection.protos.ResizeImage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='new_height', full_name='object_detection.protos.ResizeImage.new_height', 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='new_width', full_name='object_detection.protos.ResizeImage.new_width', 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),
_descriptor.FieldDescriptor(
name='method', full_name='object_detection.protos.ResizeImage.method', index=2,
number=3, type=14, cpp_type=8, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
_RESIZEIMAGE_METHOD,
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5190,
serialized_end=5382,
)
_SUBTRACTCHANNELMEAN = _descriptor.Descriptor(
name='SubtractChannelMean',
full_name='object_detection.protos.SubtractChannelMean',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='means', full_name='object_detection.protos.SubtractChannelMean.means', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5384,
serialized_end=5420,
)
_SSDRANDOMCROPOPERATION = _descriptor.Descriptor(
name='SSDRandomCropOperation',
full_name='object_detection.protos.SSDRandomCropOperation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_object_covered', full_name='object_detection.protos.SSDRandomCropOperation.min_object_covered', 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='min_aspect_ratio', full_name='object_detection.protos.SSDRandomCropOperation.min_aspect_ratio', 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),
_descriptor.FieldDescriptor(
name='max_aspect_ratio', full_name='object_detection.protos.SSDRandomCropOperation.max_aspect_ratio', 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),
_descriptor.FieldDescriptor(
name='min_area', full_name='object_detection.protos.SSDRandomCropOperation.min_area', index=3,
number=4, 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_area', full_name='object_detection.protos.SSDRandomCropOperation.max_area', index=4,
number=5, 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='overlap_thresh', full_name='object_detection.protos.SSDRandomCropOperation.overlap_thresh', index=5,
number=6, 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='clip_boxes', full_name='object_detection.protos.SSDRandomCropOperation.clip_boxes', index=6,
number=8, 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='random_coef', full_name='object_detection.protos.SSDRandomCropOperation.random_coef', index=7,
number=7, 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=5423,
serialized_end=5634,
)
_SSDRANDOMCROP = _descriptor.Descriptor(
name='SSDRandomCrop',
full_name='object_detection.protos.SSDRandomCrop',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='operations', full_name='object_detection.protos.SSDRandomCrop.operations', 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=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5636,
serialized_end=5720,
)
_SSDRANDOMCROPPADOPERATION = _descriptor.Descriptor(
name='SSDRandomCropPadOperation',
full_name='object_detection.protos.SSDRandomCropPadOperation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_object_covered', full_name='object_detection.protos.SSDRandomCropPadOperation.min_object_covered', 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='min_aspect_ratio', full_name='object_detection.protos.SSDRandomCropPadOperation.min_aspect_ratio', 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),
_descriptor.FieldDescriptor(
name='max_aspect_ratio', full_name='object_detection.protos.SSDRandomCropPadOperation.max_aspect_ratio', 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),
_descriptor.FieldDescriptor(
name='min_area', full_name='object_detection.protos.SSDRandomCropPadOperation.min_area', index=3,
number=4, 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_area', full_name='object_detection.protos.SSDRandomCropPadOperation.max_area', index=4,
number=5, 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='overlap_thresh', full_name='object_detection.protos.SSDRandomCropPadOperation.overlap_thresh', index=5,
number=6, 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='clip_boxes', full_name='object_detection.protos.SSDRandomCropPadOperation.clip_boxes', index=6,
number=13, 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='random_coef', full_name='object_detection.protos.SSDRandomCropPadOperation.random_coef', index=7,
number=7, 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='min_padded_size_ratio', full_name='object_detection.protos.SSDRandomCropPadOperation.min_padded_size_ratio', index=8,
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),
_descriptor.FieldDescriptor(
name='max_padded_size_ratio', full_name='object_detection.protos.SSDRandomCropPadOperation.max_padded_size_ratio', index=9,
number=9, 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='pad_color_r', full_name='object_detection.protos.SSDRandomCropPadOperation.pad_color_r', index=10,
number=10, 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='pad_color_g', full_name='object_detection.protos.SSDRandomCropPadOperation.pad_color_g', index=11,
number=11, 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='pad_color_b', full_name='object_detection.protos.SSDRandomCropPadOperation.pad_color_b', index=12,
number=12, 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=5723,
serialized_end=6062,
)
_SSDRANDOMCROPPAD = _descriptor.Descriptor(
name='SSDRandomCropPad',
full_name='object_detection.protos.SSDRandomCropPad',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='operations', full_name='object_detection.protos.SSDRandomCropPad.operations', 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=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6064,
serialized_end=6154,
)
_SSDRANDOMCROPFIXEDASPECTRATIOOPERATION = _descriptor.Descriptor(
name='SSDRandomCropFixedAspectRatioOperation',
full_name='object_detection.protos.SSDRandomCropFixedAspectRatioOperation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_object_covered', full_name='object_detection.protos.SSDRandomCropFixedAspectRatioOperation.min_object_covered', 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='min_area', full_name='object_detection.protos.SSDRandomCropFixedAspectRatioOperation.min_area', index=1,
number=4, 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_area', full_name='object_detection.protos.SSDRandomCropFixedAspectRatioOperation.max_area', index=2,
number=5, 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='overlap_thresh', full_name='object_detection.protos.SSDRandomCropFixedAspectRatioOperation.overlap_thresh', index=3,
number=6, 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='clip_boxes', full_name='object_detection.protos.SSDRandomCropFixedAspectRatioOperation.clip_boxes', index=4,
number=8, 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='random_coef', full_name='object_detection.protos.SSDRandomCropFixedAspectRatioOperation.random_coef', index=5,
number=7, 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=6157,
serialized_end=6332,
)
_SSDRANDOMCROPFIXEDASPECTRATIO = _descriptor.Descriptor(
name='SSDRandomCropFixedAspectRatio',
full_name='object_detection.protos.SSDRandomCropFixedAspectRatio',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='operations', full_name='object_detection.protos.SSDRandomCropFixedAspectRatio.operations', 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='aspect_ratio', full_name='object_detection.protos.SSDRandomCropFixedAspectRatio.aspect_ratio', 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=6335,
serialized_end=6476,
)
_SSDRANDOMCROPPADFIXEDASPECTRATIOOPERATION = _descriptor.Descriptor(
name='SSDRandomCropPadFixedAspectRatioOperation',
full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_object_covered', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation.min_object_covered', 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='min_aspect_ratio', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation.min_aspect_ratio', 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),
_descriptor.FieldDescriptor(
name='max_aspect_ratio', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation.max_aspect_ratio', 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),
_descriptor.FieldDescriptor(
name='min_area', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation.min_area', index=3,
number=4, 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_area', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation.max_area', index=4,
number=5, 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='overlap_thresh', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation.overlap_thresh', index=5,
number=6, 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='clip_boxes', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation.clip_boxes', index=6,
number=8, 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='random_coef', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation.random_coef', index=7,
number=7, 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=6479,
serialized_end=6709,
)
_SSDRANDOMCROPPADFIXEDASPECTRATIO = _descriptor.Descriptor(
name='SSDRandomCropPadFixedAspectRatio',
full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatio',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='operations', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatio.operations', 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='aspect_ratio', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatio.aspect_ratio', 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='min_padded_size_ratio', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatio.min_padded_size_ratio', 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='max_padded_size_ratio', full_name='object_detection.protos.SSDRandomCropPadFixedAspectRatio.max_padded_size_ratio', index=3,
number=4, 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=6712,
serialized_end=6921,
)
_CONVERTCLASSLOGITSTOSOFTMAX = _descriptor.Descriptor(
name='ConvertClassLogitsToSoftmax',
full_name='object_detection.protos.ConvertClassLogitsToSoftmax',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='temperature', full_name='object_detection.protos.ConvertClassLogitsToSoftmax.temperature', 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=6923,
serialized_end=6976,
)
_RANDOMSELFCONCATIMAGE = _descriptor.Descriptor(
name='RandomSelfConcatImage',
full_name='object_detection.protos.RandomSelfConcatImage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='concat_vertical_probability', full_name='object_detection.protos.RandomSelfConcatImage.concat_vertical_probability', index=0,
number=1, 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='concat_horizontal_probability', full_name='object_detection.protos.RandomSelfConcatImage.concat_horizontal_probability', index=1,
number=2, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6978,
serialized_end=7087,
)
_AUTOAUGMENTIMAGE = _descriptor.Descriptor(
name='AutoAugmentImage',
full_name='object_detection.protos.AutoAugmentImage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='policy_name', full_name='object_detection.protos.AutoAugmentImage.policy_name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("v0").decode('utf-8'),
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=7089,
serialized_end=7132,
)
_DROPLABELPROBABILISTICALLY = _descriptor.Descriptor(
name='DropLabelProbabilistically',
full_name='object_detection.protos.DropLabelProbabilistically',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='label', full_name='object_detection.protos.DropLabelProbabilistically.label', 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='drop_probability', full_name='object_detection.protos.DropLabelProbabilistically.drop_probability', 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=7134,
serialized_end=7206,
)
_REMAPLABELS = _descriptor.Descriptor(
name='RemapLabels',
full_name='object_detection.protos.RemapLabels',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='original_labels', full_name='object_detection.protos.RemapLabels.original_labels', index=0,
number=1, type=5, cpp_type=1, 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='new_label', full_name='object_detection.protos.RemapLabels.new_label', 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=7208,
serialized_end=7265,
)
_RANDOMJPEGQUALITY = _descriptor.Descriptor(
name='RandomJpegQuality',
full_name='object_detection.protos.RandomJpegQuality',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='random_coef', full_name='object_detection.protos.RandomJpegQuality.random_coef', 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='min_jpeg_quality', full_name='object_detection.protos.RandomJpegQuality.min_jpeg_quality', 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_jpeg_quality', full_name='object_detection.protos.RandomJpegQuality.max_jpeg_quality', index=2,
number=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7267,
serialized_end=7370,
)
_RANDOMDOWNSCALETOTARGETPIXELS = _descriptor.Descriptor(
name='RandomDownscaleToTargetPixels',
full_name='object_detection.protos.RandomDownscaleToTargetPixels',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='random_coef', full_name='object_detection.protos.RandomDownscaleToTargetPixels.random_coef', 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='min_target_pixels', full_name='object_detection.protos.RandomDownscaleToTargetPixels.min_target_pixels', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=300000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_target_pixels', full_name='object_detection.protos.RandomDownscaleToTargetPixels.max_target_pixels', index=2,
number=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7372,
serialized_end=7497,
)
_RANDOMPATCHGAUSSIAN = _descriptor.Descriptor(
name='RandomPatchGaussian',
full_name='object_detection.protos.RandomPatchGaussian',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='random_coef', full_name='object_detection.protos.RandomPatchGaussian.random_coef', 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='min_patch_size', full_name='object_detection.protos.RandomPatchGaussian.min_patch_size', index=1,
number=2, 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='max_patch_size', full_name='object_detection.protos.RandomPatchGaussian.max_patch_size', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=250,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_gaussian_stddev', full_name='object_detection.protos.RandomPatchGaussian.min_gaussian_stddev', index=3,
number=4, 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='max_gaussian_stddev', full_name='object_detection.protos.RandomPatchGaussian.max_gaussian_stddev', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7500,
serialized_end=7665,
)
_RANDOMSQUARECROPBYSCALE = _descriptor.Descriptor(
name='RandomSquareCropByScale',
full_name='object_detection.protos.RandomSquareCropByScale',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='max_border', full_name='object_detection.protos.RandomSquareCropByScale.max_border', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=128,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale_min', full_name='object_detection.protos.RandomSquareCropByScale.scale_min', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.6),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale_max', full_name='object_detection.protos.RandomSquareCropByScale.scale_max', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1.3),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_scales', full_name='object_detection.protos.RandomSquareCropByScale.num_scales', index=3,
number=4, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7667,
serialized_end=7788,
)
_RANDOMSCALECROPANDPADTOSQUARE = _descriptor.Descriptor(
name='RandomScaleCropAndPadToSquare',
full_name='object_detection.protos.RandomScaleCropAndPadToSquare',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='output_size', full_name='object_detection.protos.RandomScaleCropAndPadToSquare.output_size', index=0,
number=1, 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='scale_min', full_name='object_detection.protos.RandomScaleCropAndPadToSquare.scale_min', index=1,
number=2, 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='scale_max', full_name='object_detection.protos.RandomScaleCropAndPadToSquare.scale_max', index=2,
number=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7790,
serialized_end=7893,
)
_PREPROCESSINGSTEP.fields_by_name['normalize_image'].message_type = _NORMALIZEIMAGE
_PREPROCESSINGSTEP.fields_by_name['random_horizontal_flip'].message_type = _RANDOMHORIZONTALFLIP
_PREPROCESSINGSTEP.fields_by_name['random_pixel_value_scale'].message_type = _RANDOMPIXELVALUESCALE
_PREPROCESSINGSTEP.fields_by_name['random_image_scale'].message_type = _RANDOMIMAGESCALE
_PREPROCESSINGSTEP.fields_by_name['random_rgb_to_gray'].message_type = _RANDOMRGBTOGRAY
_PREPROCESSINGSTEP.fields_by_name['random_adjust_brightness'].message_type = _RANDOMADJUSTBRIGHTNESS
_PREPROCESSINGSTEP.fields_by_name['random_adjust_contrast'].message_type = _RANDOMADJUSTCONTRAST
_PREPROCESSINGSTEP.fields_by_name['random_adjust_hue'].message_type = _RANDOMADJUSTHUE
_PREPROCESSINGSTEP.fields_by_name['random_adjust_saturation'].message_type = _RANDOMADJUSTSATURATION
_PREPROCESSINGSTEP.fields_by_name['random_distort_color'].message_type = _RANDOMDISTORTCOLOR
_PREPROCESSINGSTEP.fields_by_name['random_jitter_boxes'].message_type = _RANDOMJITTERBOXES
_PREPROCESSINGSTEP.fields_by_name['random_crop_image'].message_type = _RANDOMCROPIMAGE
_PREPROCESSINGSTEP.fields_by_name['random_pad_image'].message_type = _RANDOMPADIMAGE
_PREPROCESSINGSTEP.fields_by_name['random_crop_pad_image'].message_type = _RANDOMCROPPADIMAGE
_PREPROCESSINGSTEP.fields_by_name['random_crop_to_aspect_ratio'].message_type = _RANDOMCROPTOASPECTRATIO
_PREPROCESSINGSTEP.fields_by_name['random_black_patches'].message_type = _RANDOMBLACKPATCHES
_PREPROCESSINGSTEP.fields_by_name['random_resize_method'].message_type = _RANDOMRESIZEMETHOD
_PREPROCESSINGSTEP.fields_by_name['scale_boxes_to_pixel_coordinates'].message_type = _SCALEBOXESTOPIXELCOORDINATES
_PREPROCESSINGSTEP.fields_by_name['resize_image'].message_type = _RESIZEIMAGE
_PREPROCESSINGSTEP.fields_by_name['subtract_channel_mean'].message_type = _SUBTRACTCHANNELMEAN
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop'].message_type = _SSDRANDOMCROP
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop_pad'].message_type = _SSDRANDOMCROPPAD
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop_fixed_aspect_ratio'].message_type = _SSDRANDOMCROPFIXEDASPECTRATIO
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop_pad_fixed_aspect_ratio'].message_type = _SSDRANDOMCROPPADFIXEDASPECTRATIO
_PREPROCESSINGSTEP.fields_by_name['random_vertical_flip'].message_type = _RANDOMVERTICALFLIP
_PREPROCESSINGSTEP.fields_by_name['random_rotation90'].message_type = _RANDOMROTATION90
_PREPROCESSINGSTEP.fields_by_name['rgb_to_gray'].message_type = _RGBTOGRAY
_PREPROCESSINGSTEP.fields_by_name['convert_class_logits_to_softmax'].message_type = _CONVERTCLASSLOGITSTOSOFTMAX
_PREPROCESSINGSTEP.fields_by_name['random_absolute_pad_image'].message_type = _RANDOMABSOLUTEPADIMAGE
_PREPROCESSINGSTEP.fields_by_name['random_self_concat_image'].message_type = _RANDOMSELFCONCATIMAGE
_PREPROCESSINGSTEP.fields_by_name['autoaugment_image'].message_type = _AUTOAUGMENTIMAGE
_PREPROCESSINGSTEP.fields_by_name['drop_label_probabilistically'].message_type = _DROPLABELPROBABILISTICALLY
_PREPROCESSINGSTEP.fields_by_name['remap_labels'].message_type = _REMAPLABELS
_PREPROCESSINGSTEP.fields_by_name['random_jpeg_quality'].message_type = _RANDOMJPEGQUALITY
_PREPROCESSINGSTEP.fields_by_name['random_downscale_to_target_pixels'].message_type = _RANDOMDOWNSCALETOTARGETPIXELS
_PREPROCESSINGSTEP.fields_by_name['random_patch_gaussian'].message_type = _RANDOMPATCHGAUSSIAN
_PREPROCESSINGSTEP.fields_by_name['random_square_crop_by_scale'].message_type = _RANDOMSQUARECROPBYSCALE
_PREPROCESSINGSTEP.fields_by_name['random_scale_crop_and_pad_to_square'].message_type = _RANDOMSCALECROPANDPADTOSQUARE
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['normalize_image'])
_PREPROCESSINGSTEP.fields_by_name['normalize_image'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_horizontal_flip'])
_PREPROCESSINGSTEP.fields_by_name['random_horizontal_flip'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_pixel_value_scale'])
_PREPROCESSINGSTEP.fields_by_name['random_pixel_value_scale'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_image_scale'])
_PREPROCESSINGSTEP.fields_by_name['random_image_scale'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_rgb_to_gray'])
_PREPROCESSINGSTEP.fields_by_name['random_rgb_to_gray'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_adjust_brightness'])
_PREPROCESSINGSTEP.fields_by_name['random_adjust_brightness'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_adjust_contrast'])
_PREPROCESSINGSTEP.fields_by_name['random_adjust_contrast'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_adjust_hue'])
_PREPROCESSINGSTEP.fields_by_name['random_adjust_hue'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_adjust_saturation'])
_PREPROCESSINGSTEP.fields_by_name['random_adjust_saturation'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_distort_color'])
_PREPROCESSINGSTEP.fields_by_name['random_distort_color'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_jitter_boxes'])
_PREPROCESSINGSTEP.fields_by_name['random_jitter_boxes'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_crop_image'])
_PREPROCESSINGSTEP.fields_by_name['random_crop_image'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_pad_image'])
_PREPROCESSINGSTEP.fields_by_name['random_pad_image'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_crop_pad_image'])
_PREPROCESSINGSTEP.fields_by_name['random_crop_pad_image'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_crop_to_aspect_ratio'])
_PREPROCESSINGSTEP.fields_by_name['random_crop_to_aspect_ratio'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_black_patches'])
_PREPROCESSINGSTEP.fields_by_name['random_black_patches'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_resize_method'])
_PREPROCESSINGSTEP.fields_by_name['random_resize_method'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['scale_boxes_to_pixel_coordinates'])
_PREPROCESSINGSTEP.fields_by_name['scale_boxes_to_pixel_coordinates'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['resize_image'])
_PREPROCESSINGSTEP.fields_by_name['resize_image'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['subtract_channel_mean'])
_PREPROCESSINGSTEP.fields_by_name['subtract_channel_mean'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop'])
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop_pad'])
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop_pad'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop_fixed_aspect_ratio'])
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop_fixed_aspect_ratio'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop_pad_fixed_aspect_ratio'])
_PREPROCESSINGSTEP.fields_by_name['ssd_random_crop_pad_fixed_aspect_ratio'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_vertical_flip'])
_PREPROCESSINGSTEP.fields_by_name['random_vertical_flip'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_rotation90'])
_PREPROCESSINGSTEP.fields_by_name['random_rotation90'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['rgb_to_gray'])
_PREPROCESSINGSTEP.fields_by_name['rgb_to_gray'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['convert_class_logits_to_softmax'])
_PREPROCESSINGSTEP.fields_by_name['convert_class_logits_to_softmax'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_absolute_pad_image'])
_PREPROCESSINGSTEP.fields_by_name['random_absolute_pad_image'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_self_concat_image'])
_PREPROCESSINGSTEP.fields_by_name['random_self_concat_image'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['autoaugment_image'])
_PREPROCESSINGSTEP.fields_by_name['autoaugment_image'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['drop_label_probabilistically'])
_PREPROCESSINGSTEP.fields_by_name['drop_label_probabilistically'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['remap_labels'])
_PREPROCESSINGSTEP.fields_by_name['remap_labels'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_jpeg_quality'])
_PREPROCESSINGSTEP.fields_by_name['random_jpeg_quality'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_downscale_to_target_pixels'])
_PREPROCESSINGSTEP.fields_by_name['random_downscale_to_target_pixels'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_patch_gaussian'])
_PREPROCESSINGSTEP.fields_by_name['random_patch_gaussian'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_square_crop_by_scale'])
_PREPROCESSINGSTEP.fields_by_name['random_square_crop_by_scale'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step'].fields.append(
_PREPROCESSINGSTEP.fields_by_name['random_scale_crop_and_pad_to_square'])
_PREPROCESSINGSTEP.fields_by_name['random_scale_crop_and_pad_to_square'].containing_oneof = _PREPROCESSINGSTEP.oneofs_by_name['preprocessing_step']
_RESIZEIMAGE.fields_by_name['method'].enum_type = _RESIZEIMAGE_METHOD
_RESIZEIMAGE_METHOD.containing_type = _RESIZEIMAGE
_SSDRANDOMCROP.fields_by_name['operations'].message_type = _SSDRANDOMCROPOPERATION
_SSDRANDOMCROPPAD.fields_by_name['operations'].message_type = _SSDRANDOMCROPPADOPERATION
_SSDRANDOMCROPFIXEDASPECTRATIO.fields_by_name['operations'].message_type = _SSDRANDOMCROPFIXEDASPECTRATIOOPERATION
_SSDRANDOMCROPPADFIXEDASPECTRATIO.fields_by_name['operations'].message_type = _SSDRANDOMCROPPADFIXEDASPECTRATIOOPERATION
DESCRIPTOR.message_types_by_name['PreprocessingStep'] = _PREPROCESSINGSTEP
DESCRIPTOR.message_types_by_name['NormalizeImage'] = _NORMALIZEIMAGE
DESCRIPTOR.message_types_by_name['RandomHorizontalFlip'] = _RANDOMHORIZONTALFLIP
DESCRIPTOR.message_types_by_name['RandomVerticalFlip'] = _RANDOMVERTICALFLIP
DESCRIPTOR.message_types_by_name['RandomRotation90'] = _RANDOMROTATION90
DESCRIPTOR.message_types_by_name['RandomPixelValueScale'] = _RANDOMPIXELVALUESCALE
DESCRIPTOR.message_types_by_name['RandomImageScale'] = _RANDOMIMAGESCALE
DESCRIPTOR.message_types_by_name['RandomRGBtoGray'] = _RANDOMRGBTOGRAY
DESCRIPTOR.message_types_by_name['RandomAdjustBrightness'] = _RANDOMADJUSTBRIGHTNESS
DESCRIPTOR.message_types_by_name['RandomAdjustContrast'] = _RANDOMADJUSTCONTRAST
DESCRIPTOR.message_types_by_name['RandomAdjustHue'] = _RANDOMADJUSTHUE
DESCRIPTOR.message_types_by_name['RandomAdjustSaturation'] = _RANDOMADJUSTSATURATION
DESCRIPTOR.message_types_by_name['RandomDistortColor'] = _RANDOMDISTORTCOLOR
DESCRIPTOR.message_types_by_name['RandomJitterBoxes'] = _RANDOMJITTERBOXES
DESCRIPTOR.message_types_by_name['RandomCropImage'] = _RANDOMCROPIMAGE
DESCRIPTOR.message_types_by_name['RandomPadImage'] = _RANDOMPADIMAGE
DESCRIPTOR.message_types_by_name['RandomAbsolutePadImage'] = _RANDOMABSOLUTEPADIMAGE
DESCRIPTOR.message_types_by_name['RandomCropPadImage'] = _RANDOMCROPPADIMAGE
DESCRIPTOR.message_types_by_name['RandomCropToAspectRatio'] = _RANDOMCROPTOASPECTRATIO
DESCRIPTOR.message_types_by_name['RandomBlackPatches'] = _RANDOMBLACKPATCHES
DESCRIPTOR.message_types_by_name['RandomResizeMethod'] = _RANDOMRESIZEMETHOD
DESCRIPTOR.message_types_by_name['RGBtoGray'] = _RGBTOGRAY
DESCRIPTOR.message_types_by_name['ScaleBoxesToPixelCoordinates'] = _SCALEBOXESTOPIXELCOORDINATES
DESCRIPTOR.message_types_by_name['ResizeImage'] = _RESIZEIMAGE
DESCRIPTOR.message_types_by_name['SubtractChannelMean'] = _SUBTRACTCHANNELMEAN
DESCRIPTOR.message_types_by_name['SSDRandomCropOperation'] = _SSDRANDOMCROPOPERATION
DESCRIPTOR.message_types_by_name['SSDRandomCrop'] = _SSDRANDOMCROP
DESCRIPTOR.message_types_by_name['SSDRandomCropPadOperation'] = _SSDRANDOMCROPPADOPERATION
DESCRIPTOR.message_types_by_name['SSDRandomCropPad'] = _SSDRANDOMCROPPAD
DESCRIPTOR.message_types_by_name['SSDRandomCropFixedAspectRatioOperation'] = _SSDRANDOMCROPFIXEDASPECTRATIOOPERATION
DESCRIPTOR.message_types_by_name['SSDRandomCropFixedAspectRatio'] = _SSDRANDOMCROPFIXEDASPECTRATIO
DESCRIPTOR.message_types_by_name['SSDRandomCropPadFixedAspectRatioOperation'] = _SSDRANDOMCROPPADFIXEDASPECTRATIOOPERATION
DESCRIPTOR.message_types_by_name['SSDRandomCropPadFixedAspectRatio'] = _SSDRANDOMCROPPADFIXEDASPECTRATIO
DESCRIPTOR.message_types_by_name['ConvertClassLogitsToSoftmax'] = _CONVERTCLASSLOGITSTOSOFTMAX
DESCRIPTOR.message_types_by_name['RandomSelfConcatImage'] = _RANDOMSELFCONCATIMAGE
DESCRIPTOR.message_types_by_name['AutoAugmentImage'] = _AUTOAUGMENTIMAGE
DESCRIPTOR.message_types_by_name['DropLabelProbabilistically'] = _DROPLABELPROBABILISTICALLY
DESCRIPTOR.message_types_by_name['RemapLabels'] = _REMAPLABELS
DESCRIPTOR.message_types_by_name['RandomJpegQuality'] = _RANDOMJPEGQUALITY
DESCRIPTOR.message_types_by_name['RandomDownscaleToTargetPixels'] = _RANDOMDOWNSCALETOTARGETPIXELS
DESCRIPTOR.message_types_by_name['RandomPatchGaussian'] = _RANDOMPATCHGAUSSIAN
DESCRIPTOR.message_types_by_name['RandomSquareCropByScale'] = _RANDOMSQUARECROPBYSCALE
DESCRIPTOR.message_types_by_name['RandomScaleCropAndPadToSquare'] = _RANDOMSCALECROPANDPADTOSQUARE
PreprocessingStep = _reflection.GeneratedProtocolMessageType('PreprocessingStep', (_message.Message,), dict(
DESCRIPTOR = _PREPROCESSINGSTEP,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.PreprocessingStep)
))
_sym_db.RegisterMessage(PreprocessingStep)
NormalizeImage = _reflection.GeneratedProtocolMessageType('NormalizeImage', (_message.Message,), dict(
DESCRIPTOR = _NORMALIZEIMAGE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.NormalizeImage)
))
_sym_db.RegisterMessage(NormalizeImage)
RandomHorizontalFlip = _reflection.GeneratedProtocolMessageType('RandomHorizontalFlip', (_message.Message,), dict(
DESCRIPTOR = _RANDOMHORIZONTALFLIP,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomHorizontalFlip)
))
_sym_db.RegisterMessage(RandomHorizontalFlip)
RandomVerticalFlip = _reflection.GeneratedProtocolMessageType('RandomVerticalFlip', (_message.Message,), dict(
DESCRIPTOR = _RANDOMVERTICALFLIP,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomVerticalFlip)
))
_sym_db.RegisterMessage(RandomVerticalFlip)
RandomRotation90 = _reflection.GeneratedProtocolMessageType('RandomRotation90', (_message.Message,), dict(
DESCRIPTOR = _RANDOMROTATION90,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomRotation90)
))
_sym_db.RegisterMessage(RandomRotation90)
RandomPixelValueScale = _reflection.GeneratedProtocolMessageType('RandomPixelValueScale', (_message.Message,), dict(
DESCRIPTOR = _RANDOMPIXELVALUESCALE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomPixelValueScale)
))
_sym_db.RegisterMessage(RandomPixelValueScale)
RandomImageScale = _reflection.GeneratedProtocolMessageType('RandomImageScale', (_message.Message,), dict(
DESCRIPTOR = _RANDOMIMAGESCALE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomImageScale)
))
_sym_db.RegisterMessage(RandomImageScale)
RandomRGBtoGray = _reflection.GeneratedProtocolMessageType('RandomRGBtoGray', (_message.Message,), dict(
DESCRIPTOR = _RANDOMRGBTOGRAY,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomRGBtoGray)
))
_sym_db.RegisterMessage(RandomRGBtoGray)
RandomAdjustBrightness = _reflection.GeneratedProtocolMessageType('RandomAdjustBrightness', (_message.Message,), dict(
DESCRIPTOR = _RANDOMADJUSTBRIGHTNESS,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomAdjustBrightness)
))
_sym_db.RegisterMessage(RandomAdjustBrightness)
RandomAdjustContrast = _reflection.GeneratedProtocolMessageType('RandomAdjustContrast', (_message.Message,), dict(
DESCRIPTOR = _RANDOMADJUSTCONTRAST,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomAdjustContrast)
))
_sym_db.RegisterMessage(RandomAdjustContrast)
RandomAdjustHue = _reflection.GeneratedProtocolMessageType('RandomAdjustHue', (_message.Message,), dict(
DESCRIPTOR = _RANDOMADJUSTHUE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomAdjustHue)
))
_sym_db.RegisterMessage(RandomAdjustHue)
RandomAdjustSaturation = _reflection.GeneratedProtocolMessageType('RandomAdjustSaturation', (_message.Message,), dict(
DESCRIPTOR = _RANDOMADJUSTSATURATION,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomAdjustSaturation)
))
_sym_db.RegisterMessage(RandomAdjustSaturation)
RandomDistortColor = _reflection.GeneratedProtocolMessageType('RandomDistortColor', (_message.Message,), dict(
DESCRIPTOR = _RANDOMDISTORTCOLOR,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomDistortColor)
))
_sym_db.RegisterMessage(RandomDistortColor)
RandomJitterBoxes = _reflection.GeneratedProtocolMessageType('RandomJitterBoxes', (_message.Message,), dict(
DESCRIPTOR = _RANDOMJITTERBOXES,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomJitterBoxes)
))
_sym_db.RegisterMessage(RandomJitterBoxes)
RandomCropImage = _reflection.GeneratedProtocolMessageType('RandomCropImage', (_message.Message,), dict(
DESCRIPTOR = _RANDOMCROPIMAGE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomCropImage)
))
_sym_db.RegisterMessage(RandomCropImage)
RandomPadImage = _reflection.GeneratedProtocolMessageType('RandomPadImage', (_message.Message,), dict(
DESCRIPTOR = _RANDOMPADIMAGE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomPadImage)
))
_sym_db.RegisterMessage(RandomPadImage)
RandomAbsolutePadImage = _reflection.GeneratedProtocolMessageType('RandomAbsolutePadImage', (_message.Message,), dict(
DESCRIPTOR = _RANDOMABSOLUTEPADIMAGE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomAbsolutePadImage)
))
_sym_db.RegisterMessage(RandomAbsolutePadImage)
RandomCropPadImage = _reflection.GeneratedProtocolMessageType('RandomCropPadImage', (_message.Message,), dict(
DESCRIPTOR = _RANDOMCROPPADIMAGE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomCropPadImage)
))
_sym_db.RegisterMessage(RandomCropPadImage)
RandomCropToAspectRatio = _reflection.GeneratedProtocolMessageType('RandomCropToAspectRatio', (_message.Message,), dict(
DESCRIPTOR = _RANDOMCROPTOASPECTRATIO,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomCropToAspectRatio)
))
_sym_db.RegisterMessage(RandomCropToAspectRatio)
RandomBlackPatches = _reflection.GeneratedProtocolMessageType('RandomBlackPatches', (_message.Message,), dict(
DESCRIPTOR = _RANDOMBLACKPATCHES,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomBlackPatches)
))
_sym_db.RegisterMessage(RandomBlackPatches)
RandomResizeMethod = _reflection.GeneratedProtocolMessageType('RandomResizeMethod', (_message.Message,), dict(
DESCRIPTOR = _RANDOMRESIZEMETHOD,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomResizeMethod)
))
_sym_db.RegisterMessage(RandomResizeMethod)
RGBtoGray = _reflection.GeneratedProtocolMessageType('RGBtoGray', (_message.Message,), dict(
DESCRIPTOR = _RGBTOGRAY,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RGBtoGray)
))
_sym_db.RegisterMessage(RGBtoGray)
ScaleBoxesToPixelCoordinates = _reflection.GeneratedProtocolMessageType('ScaleBoxesToPixelCoordinates', (_message.Message,), dict(
DESCRIPTOR = _SCALEBOXESTOPIXELCOORDINATES,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ScaleBoxesToPixelCoordinates)
))
_sym_db.RegisterMessage(ScaleBoxesToPixelCoordinates)
ResizeImage = _reflection.GeneratedProtocolMessageType('ResizeImage', (_message.Message,), dict(
DESCRIPTOR = _RESIZEIMAGE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ResizeImage)
))
_sym_db.RegisterMessage(ResizeImage)
SubtractChannelMean = _reflection.GeneratedProtocolMessageType('SubtractChannelMean', (_message.Message,), dict(
DESCRIPTOR = _SUBTRACTCHANNELMEAN,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SubtractChannelMean)
))
_sym_db.RegisterMessage(SubtractChannelMean)
SSDRandomCropOperation = _reflection.GeneratedProtocolMessageType('SSDRandomCropOperation', (_message.Message,), dict(
DESCRIPTOR = _SSDRANDOMCROPOPERATION,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SSDRandomCropOperation)
))
_sym_db.RegisterMessage(SSDRandomCropOperation)
SSDRandomCrop = _reflection.GeneratedProtocolMessageType('SSDRandomCrop', (_message.Message,), dict(
DESCRIPTOR = _SSDRANDOMCROP,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SSDRandomCrop)
))
_sym_db.RegisterMessage(SSDRandomCrop)
SSDRandomCropPadOperation = _reflection.GeneratedProtocolMessageType('SSDRandomCropPadOperation', (_message.Message,), dict(
DESCRIPTOR = _SSDRANDOMCROPPADOPERATION,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SSDRandomCropPadOperation)
))
_sym_db.RegisterMessage(SSDRandomCropPadOperation)
SSDRandomCropPad = _reflection.GeneratedProtocolMessageType('SSDRandomCropPad', (_message.Message,), dict(
DESCRIPTOR = _SSDRANDOMCROPPAD,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SSDRandomCropPad)
))
_sym_db.RegisterMessage(SSDRandomCropPad)
SSDRandomCropFixedAspectRatioOperation = _reflection.GeneratedProtocolMessageType('SSDRandomCropFixedAspectRatioOperation', (_message.Message,), dict(
DESCRIPTOR = _SSDRANDOMCROPFIXEDASPECTRATIOOPERATION,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SSDRandomCropFixedAspectRatioOperation)
))
_sym_db.RegisterMessage(SSDRandomCropFixedAspectRatioOperation)
SSDRandomCropFixedAspectRatio = _reflection.GeneratedProtocolMessageType('SSDRandomCropFixedAspectRatio', (_message.Message,), dict(
DESCRIPTOR = _SSDRANDOMCROPFIXEDASPECTRATIO,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SSDRandomCropFixedAspectRatio)
))
_sym_db.RegisterMessage(SSDRandomCropFixedAspectRatio)
SSDRandomCropPadFixedAspectRatioOperation = _reflection.GeneratedProtocolMessageType('SSDRandomCropPadFixedAspectRatioOperation', (_message.Message,), dict(
DESCRIPTOR = _SSDRANDOMCROPPADFIXEDASPECTRATIOOPERATION,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SSDRandomCropPadFixedAspectRatioOperation)
))
_sym_db.RegisterMessage(SSDRandomCropPadFixedAspectRatioOperation)
SSDRandomCropPadFixedAspectRatio = _reflection.GeneratedProtocolMessageType('SSDRandomCropPadFixedAspectRatio', (_message.Message,), dict(
DESCRIPTOR = _SSDRANDOMCROPPADFIXEDASPECTRATIO,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SSDRandomCropPadFixedAspectRatio)
))
_sym_db.RegisterMessage(SSDRandomCropPadFixedAspectRatio)
ConvertClassLogitsToSoftmax = _reflection.GeneratedProtocolMessageType('ConvertClassLogitsToSoftmax', (_message.Message,), dict(
DESCRIPTOR = _CONVERTCLASSLOGITSTOSOFTMAX,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ConvertClassLogitsToSoftmax)
))
_sym_db.RegisterMessage(ConvertClassLogitsToSoftmax)
RandomSelfConcatImage = _reflection.GeneratedProtocolMessageType('RandomSelfConcatImage', (_message.Message,), dict(
DESCRIPTOR = _RANDOMSELFCONCATIMAGE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomSelfConcatImage)
))
_sym_db.RegisterMessage(RandomSelfConcatImage)
AutoAugmentImage = _reflection.GeneratedProtocolMessageType('AutoAugmentImage', (_message.Message,), dict(
DESCRIPTOR = _AUTOAUGMENTIMAGE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.AutoAugmentImage)
))
_sym_db.RegisterMessage(AutoAugmentImage)
DropLabelProbabilistically = _reflection.GeneratedProtocolMessageType('DropLabelProbabilistically', (_message.Message,), dict(
DESCRIPTOR = _DROPLABELPROBABILISTICALLY,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.DropLabelProbabilistically)
))
_sym_db.RegisterMessage(DropLabelProbabilistically)
RemapLabels = _reflection.GeneratedProtocolMessageType('RemapLabels', (_message.Message,), dict(
DESCRIPTOR = _REMAPLABELS,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RemapLabels)
))
_sym_db.RegisterMessage(RemapLabels)
RandomJpegQuality = _reflection.GeneratedProtocolMessageType('RandomJpegQuality', (_message.Message,), dict(
DESCRIPTOR = _RANDOMJPEGQUALITY,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomJpegQuality)
))
_sym_db.RegisterMessage(RandomJpegQuality)
RandomDownscaleToTargetPixels = _reflection.GeneratedProtocolMessageType('RandomDownscaleToTargetPixels', (_message.Message,), dict(
DESCRIPTOR = _RANDOMDOWNSCALETOTARGETPIXELS,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomDownscaleToTargetPixels)
))
_sym_db.RegisterMessage(RandomDownscaleToTargetPixels)
RandomPatchGaussian = _reflection.GeneratedProtocolMessageType('RandomPatchGaussian', (_message.Message,), dict(
DESCRIPTOR = _RANDOMPATCHGAUSSIAN,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomPatchGaussian)
))
_sym_db.RegisterMessage(RandomPatchGaussian)
RandomSquareCropByScale = _reflection.GeneratedProtocolMessageType('RandomSquareCropByScale', (_message.Message,), dict(
DESCRIPTOR = _RANDOMSQUARECROPBYSCALE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomSquareCropByScale)
))
_sym_db.RegisterMessage(RandomSquareCropByScale)
RandomScaleCropAndPadToSquare = _reflection.GeneratedProtocolMessageType('RandomScaleCropAndPadToSquare', (_message.Message,), dict(
DESCRIPTOR = _RANDOMSCALECROPANDPADTOSQUARE,
__module__ = 'object_detection.protos.preprocessor_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RandomScaleCropAndPadToSquare)
))
_sym_db.RegisterMessage(RandomScaleCropAndPadToSquare)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/region_similarity_calculator_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/region_similarity_calculator.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/region_similarity_calculator.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n:object_detection/protos/region_similarity_calculator.proto\x12\x17object_detection.protos\"\xde\x02\n\x1aRegionSimilarityCalculator\x12N\n\x16neg_sq_dist_similarity\x18\x01 \x01(\x0b\x32,.object_detection.protos.NegSqDistSimilarityH\x00\x12@\n\x0eiou_similarity\x18\x02 \x01(\x0b\x32&.object_detection.protos.IouSimilarityH\x00\x12@\n\x0eioa_similarity\x18\x03 \x01(\x0b\x32&.object_detection.protos.IoaSimilarityH\x00\x12W\n\x1athresholded_iou_similarity\x18\x04 \x01(\x0b\x32\x31.object_detection.protos.ThresholdedIouSimilarityH\x00\x42\x13\n\x11region_similarity\"\x15\n\x13NegSqDistSimilarity\"\x0f\n\rIouSimilarity\"\x0f\n\rIoaSimilarity\"6\n\x18ThresholdedIouSimilarity\x12\x1a\n\riou_threshold\x18\x01 \x01(\x02:\x03\x30.5')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_REGIONSIMILARITYCALCULATOR = _descriptor.Descriptor(
name='RegionSimilarityCalculator',
full_name='object_detection.protos.RegionSimilarityCalculator',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='neg_sq_dist_similarity', full_name='object_detection.protos.RegionSimilarityCalculator.neg_sq_dist_similarity', 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='iou_similarity', full_name='object_detection.protos.RegionSimilarityCalculator.iou_similarity', 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='ioa_similarity', full_name='object_detection.protos.RegionSimilarityCalculator.ioa_similarity', 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='thresholded_iou_similarity', full_name='object_detection.protos.RegionSimilarityCalculator.thresholded_iou_similarity', 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='region_similarity', full_name='object_detection.protos.RegionSimilarityCalculator.region_similarity',
index=0, containing_type=None, fields=[]),
],
serialized_start=88,
serialized_end=438,
)
_NEGSQDISTSIMILARITY = _descriptor.Descriptor(
name='NegSqDistSimilarity',
full_name='object_detection.protos.NegSqDistSimilarity',
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=440,
serialized_end=461,
)
_IOUSIMILARITY = _descriptor.Descriptor(
name='IouSimilarity',
full_name='object_detection.protos.IouSimilarity',
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=463,
serialized_end=478,
)
_IOASIMILARITY = _descriptor.Descriptor(
name='IoaSimilarity',
full_name='object_detection.protos.IoaSimilarity',
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=480,
serialized_end=495,
)
_THRESHOLDEDIOUSIMILARITY = _descriptor.Descriptor(
name='ThresholdedIouSimilarity',
full_name='object_detection.protos.ThresholdedIouSimilarity',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='iou_threshold', full_name='object_detection.protos.ThresholdedIouSimilarity.iou_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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=497,
serialized_end=551,
)
_REGIONSIMILARITYCALCULATOR.fields_by_name['neg_sq_dist_similarity'].message_type = _NEGSQDISTSIMILARITY
_REGIONSIMILARITYCALCULATOR.fields_by_name['iou_similarity'].message_type = _IOUSIMILARITY
_REGIONSIMILARITYCALCULATOR.fields_by_name['ioa_similarity'].message_type = _IOASIMILARITY
_REGIONSIMILARITYCALCULATOR.fields_by_name['thresholded_iou_similarity'].message_type = _THRESHOLDEDIOUSIMILARITY
_REGIONSIMILARITYCALCULATOR.oneofs_by_name['region_similarity'].fields.append(
_REGIONSIMILARITYCALCULATOR.fields_by_name['neg_sq_dist_similarity'])
_REGIONSIMILARITYCALCULATOR.fields_by_name['neg_sq_dist_similarity'].containing_oneof = _REGIONSIMILARITYCALCULATOR.oneofs_by_name['region_similarity']
_REGIONSIMILARITYCALCULATOR.oneofs_by_name['region_similarity'].fields.append(
_REGIONSIMILARITYCALCULATOR.fields_by_name['iou_similarity'])
_REGIONSIMILARITYCALCULATOR.fields_by_name['iou_similarity'].containing_oneof = _REGIONSIMILARITYCALCULATOR.oneofs_by_name['region_similarity']
_REGIONSIMILARITYCALCULATOR.oneofs_by_name['region_similarity'].fields.append(
_REGIONSIMILARITYCALCULATOR.fields_by_name['ioa_similarity'])
_REGIONSIMILARITYCALCULATOR.fields_by_name['ioa_similarity'].containing_oneof = _REGIONSIMILARITYCALCULATOR.oneofs_by_name['region_similarity']
_REGIONSIMILARITYCALCULATOR.oneofs_by_name['region_similarity'].fields.append(
_REGIONSIMILARITYCALCULATOR.fields_by_name['thresholded_iou_similarity'])
_REGIONSIMILARITYCALCULATOR.fields_by_name['thresholded_iou_similarity'].containing_oneof = _REGIONSIMILARITYCALCULATOR.oneofs_by_name['region_similarity']
DESCRIPTOR.message_types_by_name['RegionSimilarityCalculator'] = _REGIONSIMILARITYCALCULATOR
DESCRIPTOR.message_types_by_name['NegSqDistSimilarity'] = _NEGSQDISTSIMILARITY
DESCRIPTOR.message_types_by_name['IouSimilarity'] = _IOUSIMILARITY
DESCRIPTOR.message_types_by_name['IoaSimilarity'] = _IOASIMILARITY
DESCRIPTOR.message_types_by_name['ThresholdedIouSimilarity'] = _THRESHOLDEDIOUSIMILARITY
RegionSimilarityCalculator = _reflection.GeneratedProtocolMessageType('RegionSimilarityCalculator', (_message.Message,), dict(
DESCRIPTOR = _REGIONSIMILARITYCALCULATOR,
__module__ = 'object_detection.protos.region_similarity_calculator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.RegionSimilarityCalculator)
))
_sym_db.RegisterMessage(RegionSimilarityCalculator)
NegSqDistSimilarity = _reflection.GeneratedProtocolMessageType('NegSqDistSimilarity', (_message.Message,), dict(
DESCRIPTOR = _NEGSQDISTSIMILARITY,
__module__ = 'object_detection.protos.region_similarity_calculator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.NegSqDistSimilarity)
))
_sym_db.RegisterMessage(NegSqDistSimilarity)
IouSimilarity = _reflection.GeneratedProtocolMessageType('IouSimilarity', (_message.Message,), dict(
DESCRIPTOR = _IOUSIMILARITY,
__module__ = 'object_detection.protos.region_similarity_calculator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.IouSimilarity)
))
_sym_db.RegisterMessage(IouSimilarity)
IoaSimilarity = _reflection.GeneratedProtocolMessageType('IoaSimilarity', (_message.Message,), dict(
DESCRIPTOR = _IOASIMILARITY,
__module__ = 'object_detection.protos.region_similarity_calculator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.IoaSimilarity)
))
_sym_db.RegisterMessage(IoaSimilarity)
ThresholdedIouSimilarity = _reflection.GeneratedProtocolMessageType('ThresholdedIouSimilarity', (_message.Message,), dict(
DESCRIPTOR = _THRESHOLDEDIOUSIMILARITY,
__module__ = 'object_detection.protos.region_similarity_calculator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.ThresholdedIouSimilarity)
))
_sym_db.RegisterMessage(ThresholdedIouSimilarity)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/square_box_coder_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/square_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/square_box_coder.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n.object_detection/protos/square_box_coder.proto\x12\x17object_detection.protos\"S\n\x0eSquareBoxCoder\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\x0clength_scale\x18\x03 \x01(\x02:\x01\x35')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_SQUAREBOXCODER = _descriptor.Descriptor(
name='SquareBoxCoder',
full_name='object_detection.protos.SquareBoxCoder',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='y_scale', full_name='object_detection.protos.SquareBoxCoder.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.SquareBoxCoder.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='length_scale', full_name='object_detection.protos.SquareBoxCoder.length_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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=75,
serialized_end=158,
)
DESCRIPTOR.message_types_by_name['SquareBoxCoder'] = _SQUAREBOXCODER
SquareBoxCoder = _reflection.GeneratedProtocolMessageType('SquareBoxCoder', (_message.Message,), dict(
DESCRIPTOR = _SQUAREBOXCODER,
__module__ = 'object_detection.protos.square_box_coder_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SquareBoxCoder)
))
_sym_db.RegisterMessage(SquareBoxCoder)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/ssd_anchor_generator_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/ssd_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/ssd_anchor_generator.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n2object_detection/protos/ssd_anchor_generator.proto\x12\x17object_detection.protos\"\xf2\x02\n\x12SsdAnchorGenerator\x12\x15\n\nnum_layers\x18\x01 \x01(\x05:\x01\x36\x12\x16\n\tmin_scale\x18\x02 \x01(\x02:\x03\x30.2\x12\x17\n\tmax_scale\x18\x03 \x01(\x02:\x04\x30.95\x12\x0e\n\x06scales\x18\x0c \x03(\x02\x12\x15\n\raspect_ratios\x18\x04 \x03(\x02\x12*\n\x1finterpolated_scale_aspect_ratio\x18\r \x01(\x02:\x01\x31\x12*\n\x1creduce_boxes_in_lowest_layer\x18\x05 \x01(\x08:\x04true\x12\x1d\n\x12\x62\x61se_anchor_height\x18\x06 \x01(\x02:\x01\x31\x12\x1c\n\x11\x62\x61se_anchor_width\x18\x07 \x01(\x02:\x01\x31\x12\x15\n\rheight_stride\x18\x08 \x03(\x05\x12\x14\n\x0cwidth_stride\x18\t \x03(\x05\x12\x15\n\rheight_offset\x18\n \x03(\x05\x12\x14\n\x0cwidth_offset\x18\x0b \x03(\x05')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_SSDANCHORGENERATOR = _descriptor.Descriptor(
name='SsdAnchorGenerator',
full_name='object_detection.protos.SsdAnchorGenerator',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='num_layers', full_name='object_detection.protos.SsdAnchorGenerator.num_layers', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=6,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_scale', full_name='object_detection.protos.SsdAnchorGenerator.min_scale', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.2),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_scale', full_name='object_detection.protos.SsdAnchorGenerator.max_scale', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0.95),
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.SsdAnchorGenerator.scales', index=3,
number=12, 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.SsdAnchorGenerator.aspect_ratios', index=4,
number=4, 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='interpolated_scale_aspect_ratio', full_name='object_detection.protos.SsdAnchorGenerator.interpolated_scale_aspect_ratio', index=5,
number=13, 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='reduce_boxes_in_lowest_layer', full_name='object_detection.protos.SsdAnchorGenerator.reduce_boxes_in_lowest_layer', index=6,
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='base_anchor_height', full_name='object_detection.protos.SsdAnchorGenerator.base_anchor_height', index=7,
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='base_anchor_width', full_name='object_detection.protos.SsdAnchorGenerator.base_anchor_width', index=8,
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='height_stride', full_name='object_detection.protos.SsdAnchorGenerator.height_stride', index=9,
number=8, type=5, cpp_type=1, 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='width_stride', full_name='object_detection.protos.SsdAnchorGenerator.width_stride', index=10,
number=9, type=5, cpp_type=1, 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_offset', full_name='object_detection.protos.SsdAnchorGenerator.height_offset', index=11,
number=10, type=5, cpp_type=1, 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='width_offset', full_name='object_detection.protos.SsdAnchorGenerator.width_offset', index=12,
number=11, type=5, cpp_type=1, 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=80,
serialized_end=450,
)
DESCRIPTOR.message_types_by_name['SsdAnchorGenerator'] = _SSDANCHORGENERATOR
SsdAnchorGenerator = _reflection.GeneratedProtocolMessageType('SsdAnchorGenerator', (_message.Message,), dict(
DESCRIPTOR = _SSDANCHORGENERATOR,
__module__ = 'object_detection.protos.ssd_anchor_generator_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SsdAnchorGenerator)
))
_sym_db.RegisterMessage(SsdAnchorGenerator)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/ssd_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/ssd.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_coder_pb2 as object__detection_dot_protos_dot_box__coder__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 matcher_pb2 as object__detection_dot_protos_dot_matcher__pb2
from object_detection.protos import post_processing_pb2 as object__detection_dot_protos_dot_post__processing__pb2
from object_detection.protos import region_similarity_calculator_pb2 as object__detection_dot_protos_dot_region__similarity__calculator__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/ssd.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n!object_detection/protos/ssd.proto\x12\x17object_detection.protos\x1a.object_detection/protos/anchor_generator.proto\x1a\'object_detection/protos/box_coder.proto\x1a+object_detection/protos/box_predictor.proto\x1a)object_detection/protos/hyperparams.proto\x1a+object_detection/protos/image_resizer.proto\x1a$object_detection/protos/losses.proto\x1a%object_detection/protos/matcher.proto\x1a-object_detection/protos/post_processing.proto\x1a:object_detection/protos/region_similarity_calculator.proto\"\xdc\x0b\n\x03Ssd\x12\x13\n\x0bnum_classes\x18\x01 \x01(\x05\x12<\n\rimage_resizer\x18\x02 \x01(\x0b\x32%.object_detection.protos.ImageResizer\x12G\n\x11\x66\x65\x61ture_extractor\x18\x03 \x01(\x0b\x32,.object_detection.protos.SsdFeatureExtractor\x12\x34\n\tbox_coder\x18\x04 \x01(\x0b\x32!.object_detection.protos.BoxCoder\x12\x31\n\x07matcher\x18\x05 \x01(\x0b\x32 .object_detection.protos.Matcher\x12R\n\x15similarity_calculator\x18\x06 \x01(\x0b\x32\x33.object_detection.protos.RegionSimilarityCalculator\x12)\n\x1a\x65ncode_background_as_zeros\x18\x0c \x01(\x08:\x05\x66\x61lse\x12 \n\x15negative_class_weight\x18\r \x01(\x02:\x01\x31\x12<\n\rbox_predictor\x18\x07 \x01(\x0b\x32%.object_detection.protos.BoxPredictor\x12\x42\n\x10\x61nchor_generator\x18\x08 \x01(\x0b\x32(.object_detection.protos.AnchorGenerator\x12@\n\x0fpost_processing\x18\t \x01(\x0b\x32\'.object_detection.protos.PostProcessing\x12+\n\x1dnormalize_loss_by_num_matches\x18\n \x01(\x08:\x04true\x12-\n\x1enormalize_loc_loss_by_codesize\x18\x0e \x01(\x08:\x05\x66\x61lse\x12+\n\x04loss\x18\x0b \x01(\x0b\x32\x1d.object_detection.protos.Loss\x12\x1f\n\x10\x66reeze_batchnorm\x18\x10 \x01(\x08:\x05\x66\x61lse\x12\'\n\x18inplace_batchnorm_update\x18\x0f \x01(\x08:\x05\x66\x61lse\x12\"\n\x14\x61\x64\x64_background_class\x18\x15 \x01(\x08:\x04true\x12(\n\x19\x65xplicit_background_class\x18\x18 \x01(\x08:\x05\x66\x61lse\x12)\n\x1ause_confidences_as_targets\x18\x16 \x01(\x08:\x05\x66\x61lse\x12\"\n\x17implicit_example_weight\x18\x17 \x01(\x02:\x01\x31\x12\x33\n$return_raw_detections_during_predict\x18\x1a \x01(\x08:\x05\x66\x61lse\x12?\n\x10mask_head_config\x18\x19 \x01(\x0b\x32%.object_detection.protos.Ssd.MaskHead\x1a\x84\x03\n\x08MaskHead\x12\x17\n\x0bmask_height\x18\x01 \x01(\x05:\x02\x31\x35\x12\x16\n\nmask_width\x18\x02 \x01(\x05:\x02\x31\x35\x12&\n\x18masks_are_class_agnostic\x18\x03 \x01(\x08:\x04true\x12\'\n\x1amask_prediction_conv_depth\x18\x04 \x01(\x05:\x03\x32\x35\x36\x12*\n\x1fmask_prediction_num_conv_layers\x18\x05 \x01(\x05:\x01\x32\x12+\n\x1c\x63onvolve_then_upsample_masks\x18\x06 \x01(\x08:\x05\x66\x61lse\x12\x1b\n\x10mask_loss_weight\x18\x07 \x01(\x02:\x01\x35\x12!\n\x15mask_loss_sample_size\x18\x08 \x01(\x05:\x02\x31\x36\x12>\n\x10\x63onv_hyperparams\x18\t \x01(\x0b\x32$.object_detection.protos.Hyperparams\x12\x1d\n\x11initial_crop_size\x18\n \x01(\x05:\x02\x31\x35\"\xad\x04\n\x13SsdFeatureExtractor\x12\x0c\n\x04type\x18\x01 \x01(\t\x12\x1b\n\x10\x64\x65pth_multiplier\x18\x02 \x01(\x02:\x01\x31\x12\x15\n\tmin_depth\x18\x03 \x01(\x05:\x02\x31\x36\x12>\n\x10\x63onv_hyperparams\x18\x04 \x01(\x0b\x32$.object_detection.protos.Hyperparams\x12:\n+override_base_feature_extractor_hyperparams\x18\t \x01(\x08:\x05\x66\x61lse\x12\x1a\n\x0fpad_to_multiple\x18\x05 \x01(\x05:\x01\x31\x12#\n\x14use_explicit_padding\x18\x07 \x01(\x08:\x05\x66\x61lse\x12\x1c\n\ruse_depthwise\x18\x08 \x01(\x08:\x05\x66\x61lse\x12>\n\x03\x66pn\x18\n \x01(\x0b\x32/.object_detection.protos.FeaturePyramidNetworksH\x00\x12M\n\x05\x62ifpn\x18\x13 \x01(\x0b\x32<.object_detection.protos.BidirectionalFeaturePyramidNetworksH\x00\x12\x34\n%replace_preprocessor_with_placeholder\x18\x0b \x01(\x08:\x05\x66\x61lse\x12\x15\n\nnum_layers\x18\x0c \x01(\x05:\x01\x36\x42\x17\n\x15\x66\x65\x61ture_pyramid_oneofJ\x04\x08\x06\x10\x07\"i\n\x16\x46\x65\x61turePyramidNetworks\x12\x14\n\tmin_level\x18\x01 \x01(\x05:\x01\x33\x12\x14\n\tmax_level\x18\x02 \x01(\x05:\x01\x37\x12#\n\x16\x61\x64\x64itional_layer_depth\x18\x03 \x01(\x05:\x03\x32\x35\x36\"\xa6\x01\n#BidirectionalFeaturePyramidNetworks\x12\x14\n\tmin_level\x18\x01 \x01(\x05:\x01\x33\x12\x14\n\tmax_level\x18\x02 \x01(\x05:\x01\x37\x12\x16\n\x0enum_iterations\x18\x03 \x01(\x05\x12\x13\n\x0bnum_filters\x18\x04 \x01(\x05\x12&\n\x0e\x63ombine_method\x18\x05 \x01(\t:\x0e\x66\x61st_attention')
,
dependencies=[object__detection_dot_protos_dot_anchor__generator__pb2.DESCRIPTOR,object__detection_dot_protos_dot_box__coder__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_matcher__pb2.DESCRIPTOR,object__detection_dot_protos_dot_post__processing__pb2.DESCRIPTOR,object__detection_dot_protos_dot_region__similarity__calculator__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_SSD_MASKHEAD = _descriptor.Descriptor(
name='MaskHead',
full_name='object_detection.protos.Ssd.MaskHead',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='mask_height', full_name='object_detection.protos.Ssd.MaskHead.mask_height', index=0,
number=1, 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.Ssd.MaskHead.mask_width', index=1,
number=2, 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='masks_are_class_agnostic', full_name='object_detection.protos.Ssd.MaskHead.masks_are_class_agnostic', index=2,
number=3, 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='mask_prediction_conv_depth', full_name='object_detection.protos.Ssd.MaskHead.mask_prediction_conv_depth', index=3,
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_prediction_num_conv_layers', full_name='object_detection.protos.Ssd.MaskHead.mask_prediction_num_conv_layers', index=4,
number=5, 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='convolve_then_upsample_masks', full_name='object_detection.protos.Ssd.MaskHead.convolve_then_upsample_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_loss_weight', full_name='object_detection.protos.Ssd.MaskHead.mask_loss_weight', index=6,
number=7, 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='mask_loss_sample_size', full_name='object_detection.protos.Ssd.MaskHead.mask_loss_sample_size', index=7,
number=8, 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='conv_hyperparams', full_name='object_detection.protos.Ssd.MaskHead.conv_hyperparams', index=8,
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='initial_crop_size', full_name='object_detection.protos.Ssd.MaskHead.initial_crop_size', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1581,
serialized_end=1969,
)
_SSD = _descriptor.Descriptor(
name='Ssd',
full_name='object_detection.protos.Ssd',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='num_classes', full_name='object_detection.protos.Ssd.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='image_resizer', full_name='object_detection.protos.Ssd.image_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='feature_extractor', full_name='object_detection.protos.Ssd.feature_extractor', 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='box_coder', full_name='object_detection.protos.Ssd.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),
_descriptor.FieldDescriptor(
name='matcher', full_name='object_detection.protos.Ssd.matcher', 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='similarity_calculator', full_name='object_detection.protos.Ssd.similarity_calculator', 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='encode_background_as_zeros', full_name='object_detection.protos.Ssd.encode_background_as_zeros', index=6,
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='negative_class_weight', full_name='object_detection.protos.Ssd.negative_class_weight', index=7,
number=13, 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='box_predictor', full_name='object_detection.protos.Ssd.box_predictor', index=8,
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='anchor_generator', full_name='object_detection.protos.Ssd.anchor_generator', index=9,
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='post_processing', full_name='object_detection.protos.Ssd.post_processing', index=10,
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='normalize_loss_by_num_matches', full_name='object_detection.protos.Ssd.normalize_loss_by_num_matches', index=11,
number=10, 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='normalize_loc_loss_by_codesize', full_name='object_detection.protos.Ssd.normalize_loc_loss_by_codesize', index=12,
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(
name='loss', full_name='object_detection.protos.Ssd.loss', index=13,
number=11, 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='freeze_batchnorm', full_name='object_detection.protos.Ssd.freeze_batchnorm', index=14,
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='inplace_batchnorm_update', full_name='object_detection.protos.Ssd.inplace_batchnorm_update', index=15,
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='add_background_class', full_name='object_detection.protos.Ssd.add_background_class', index=16,
number=21, 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='explicit_background_class', full_name='object_detection.protos.Ssd.explicit_background_class', index=17,
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='use_confidences_as_targets', full_name='object_detection.protos.Ssd.use_confidences_as_targets', index=18,
number=22, 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='implicit_example_weight', full_name='object_detection.protos.Ssd.implicit_example_weight', index=19,
number=23, 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='return_raw_detections_during_predict', full_name='object_detection.protos.Ssd.return_raw_detections_during_predict', index=20,
number=26, 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_head_config', full_name='object_detection.protos.Ssd.mask_head_config', index=21,
number=25, 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=[_SSD_MASKHEAD, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=469,
serialized_end=1969,
)
_SSDFEATUREEXTRACTOR = _descriptor.Descriptor(
name='SsdFeatureExtractor',
full_name='object_detection.protos.SsdFeatureExtractor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='type', full_name='object_detection.protos.SsdFeatureExtractor.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='depth_multiplier', full_name='object_detection.protos.SsdFeatureExtractor.depth_multiplier', 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='min_depth', full_name='object_detection.protos.SsdFeatureExtractor.min_depth', 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='conv_hyperparams', full_name='object_detection.protos.SsdFeatureExtractor.conv_hyperparams', 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='override_base_feature_extractor_hyperparams', full_name='object_detection.protos.SsdFeatureExtractor.override_base_feature_extractor_hyperparams', index=4,
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='pad_to_multiple', full_name='object_detection.protos.SsdFeatureExtractor.pad_to_multiple', index=5,
number=5, 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='use_explicit_padding', full_name='object_detection.protos.SsdFeatureExtractor.use_explicit_padding', index=6,
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='use_depthwise', full_name='object_detection.protos.SsdFeatureExtractor.use_depthwise', 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='fpn', full_name='object_detection.protos.SsdFeatureExtractor.fpn', index=8,
number=10, 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='bifpn', full_name='object_detection.protos.SsdFeatureExtractor.bifpn', index=9,
number=19, 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='replace_preprocessor_with_placeholder', full_name='object_detection.protos.SsdFeatureExtractor.replace_preprocessor_with_placeholder', 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='num_layers', full_name='object_detection.protos.SsdFeatureExtractor.num_layers', index=11,
number=12, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=6,
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='feature_pyramid_oneof', full_name='object_detection.protos.SsdFeatureExtractor.feature_pyramid_oneof',
index=0, containing_type=None, fields=[]),
],
serialized_start=1972,
serialized_end=2529,
)
_FEATUREPYRAMIDNETWORKS = _descriptor.Descriptor(
name='FeaturePyramidNetworks',
full_name='object_detection.protos.FeaturePyramidNetworks',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_level', full_name='object_detection.protos.FeaturePyramidNetworks.min_level', index=0,
number=1, 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='max_level', full_name='object_detection.protos.FeaturePyramidNetworks.max_level', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=7,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='additional_layer_depth', full_name='object_detection.protos.FeaturePyramidNetworks.additional_layer_depth', index=2,
number=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=2531,
serialized_end=2636,
)
_BIDIRECTIONALFEATUREPYRAMIDNETWORKS = _descriptor.Descriptor(
name='BidirectionalFeaturePyramidNetworks',
full_name='object_detection.protos.BidirectionalFeaturePyramidNetworks',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='min_level', full_name='object_detection.protos.BidirectionalFeaturePyramidNetworks.min_level', index=0,
number=1, 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='max_level', full_name='object_detection.protos.BidirectionalFeaturePyramidNetworks.max_level', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=7,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_iterations', full_name='object_detection.protos.BidirectionalFeaturePyramidNetworks.num_iterations', index=2,
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='num_filters', full_name='object_detection.protos.BidirectionalFeaturePyramidNetworks.num_filters', index=3,
number=4, 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='combine_method', full_name='object_detection.protos.BidirectionalFeaturePyramidNetworks.combine_method', index=4,
number=5, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("fast_attention").decode('utf-8'),
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=2639,
serialized_end=2805,
)
_SSD_MASKHEAD.fields_by_name['conv_hyperparams'].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS
_SSD_MASKHEAD.containing_type = _SSD
_SSD.fields_by_name['image_resizer'].message_type = object__detection_dot_protos_dot_image__resizer__pb2._IMAGERESIZER
_SSD.fields_by_name['feature_extractor'].message_type = _SSDFEATUREEXTRACTOR
_SSD.fields_by_name['box_coder'].message_type = object__detection_dot_protos_dot_box__coder__pb2._BOXCODER
_SSD.fields_by_name['matcher'].message_type = object__detection_dot_protos_dot_matcher__pb2._MATCHER
_SSD.fields_by_name['similarity_calculator'].message_type = object__detection_dot_protos_dot_region__similarity__calculator__pb2._REGIONSIMILARITYCALCULATOR
_SSD.fields_by_name['box_predictor'].message_type = object__detection_dot_protos_dot_box__predictor__pb2._BOXPREDICTOR
_SSD.fields_by_name['anchor_generator'].message_type = object__detection_dot_protos_dot_anchor__generator__pb2._ANCHORGENERATOR
_SSD.fields_by_name['post_processing'].message_type = object__detection_dot_protos_dot_post__processing__pb2._POSTPROCESSING
_SSD.fields_by_name['loss'].message_type = object__detection_dot_protos_dot_losses__pb2._LOSS
_SSD.fields_by_name['mask_head_config'].message_type = _SSD_MASKHEAD
_SSDFEATUREEXTRACTOR.fields_by_name['conv_hyperparams'].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS
_SSDFEATUREEXTRACTOR.fields_by_name['fpn'].message_type = _FEATUREPYRAMIDNETWORKS
_SSDFEATUREEXTRACTOR.fields_by_name['bifpn'].message_type = _BIDIRECTIONALFEATUREPYRAMIDNETWORKS
_SSDFEATUREEXTRACTOR.oneofs_by_name['feature_pyramid_oneof'].fields.append(
_SSDFEATUREEXTRACTOR.fields_by_name['fpn'])
_SSDFEATUREEXTRACTOR.fields_by_name['fpn'].containing_oneof = _SSDFEATUREEXTRACTOR.oneofs_by_name['feature_pyramid_oneof']
_SSDFEATUREEXTRACTOR.oneofs_by_name['feature_pyramid_oneof'].fields.append(
_SSDFEATUREEXTRACTOR.fields_by_name['bifpn'])
_SSDFEATUREEXTRACTOR.fields_by_name['bifpn'].containing_oneof = _SSDFEATUREEXTRACTOR.oneofs_by_name['feature_pyramid_oneof']
DESCRIPTOR.message_types_by_name['Ssd'] = _SSD
DESCRIPTOR.message_types_by_name['SsdFeatureExtractor'] = _SSDFEATUREEXTRACTOR
DESCRIPTOR.message_types_by_name['FeaturePyramidNetworks'] = _FEATUREPYRAMIDNETWORKS
DESCRIPTOR.message_types_by_name['BidirectionalFeaturePyramidNetworks'] = _BIDIRECTIONALFEATUREPYRAMIDNETWORKS
Ssd = _reflection.GeneratedProtocolMessageType('Ssd', (_message.Message,), dict(
MaskHead = _reflection.GeneratedProtocolMessageType('MaskHead', (_message.Message,), dict(
DESCRIPTOR = _SSD_MASKHEAD,
__module__ = 'object_detection.protos.ssd_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Ssd.MaskHead)
))
,
DESCRIPTOR = _SSD,
__module__ = 'object_detection.protos.ssd_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.Ssd)
))
_sym_db.RegisterMessage(Ssd)
_sym_db.RegisterMessage(Ssd.MaskHead)
SsdFeatureExtractor = _reflection.GeneratedProtocolMessageType('SsdFeatureExtractor', (_message.Message,), dict(
DESCRIPTOR = _SSDFEATUREEXTRACTOR,
__module__ = 'object_detection.protos.ssd_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.SsdFeatureExtractor)
))
_sym_db.RegisterMessage(SsdFeatureExtractor)
FeaturePyramidNetworks = _reflection.GeneratedProtocolMessageType('FeaturePyramidNetworks', (_message.Message,), dict(
DESCRIPTOR = _FEATUREPYRAMIDNETWORKS,
__module__ = 'object_detection.protos.ssd_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.FeaturePyramidNetworks)
))
_sym_db.RegisterMessage(FeaturePyramidNetworks)
BidirectionalFeaturePyramidNetworks = _reflection.GeneratedProtocolMessageType('BidirectionalFeaturePyramidNetworks', (_message.Message,), dict(
DESCRIPTOR = _BIDIRECTIONALFEATUREPYRAMIDNETWORKS,
__module__ = 'object_detection.protos.ssd_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.BidirectionalFeaturePyramidNetworks)
))
_sym_db.RegisterMessage(BidirectionalFeaturePyramidNetworks)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/string_int_label_map_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/string_int_label_map.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/string_int_label_map.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n2object_detection/protos/string_int_label_map.proto\x12\x17object_detection.protos\"\xee\x01\n\x15StringIntLabelMapItem\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\n\n\x02id\x18\x02 \x01(\x05\x12\x14\n\x0c\x64isplay_name\x18\x03 \x01(\t\x12M\n\tkeypoints\x18\x04 \x03(\x0b\x32:.object_detection.protos.StringIntLabelMapItem.KeypointMap\x12\x14\n\x0c\x61ncestor_ids\x18\x05 \x03(\x05\x12\x16\n\x0e\x64\x65scendant_ids\x18\x06 \x03(\x05\x1a(\n\x0bKeypointMap\x12\n\n\x02id\x18\x01 \x01(\x05\x12\r\n\x05label\x18\x02 \x01(\t\"Q\n\x11StringIntLabelMap\x12<\n\x04item\x18\x01 \x03(\x0b\x32..object_detection.protos.StringIntLabelMapItem')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_STRINGINTLABELMAPITEM_KEYPOINTMAP = _descriptor.Descriptor(
name='KeypointMap',
full_name='object_detection.protos.StringIntLabelMapItem.KeypointMap',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='id', full_name='object_detection.protos.StringIntLabelMapItem.KeypointMap.id', 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='label', full_name='object_detection.protos.StringIntLabelMapItem.KeypointMap.label', index=1,
number=2, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=278,
serialized_end=318,
)
_STRINGINTLABELMAPITEM = _descriptor.Descriptor(
name='StringIntLabelMapItem',
full_name='object_detection.protos.StringIntLabelMapItem',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='object_detection.protos.StringIntLabelMapItem.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='id', full_name='object_detection.protos.StringIntLabelMapItem.id', 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),
_descriptor.FieldDescriptor(
name='display_name', full_name='object_detection.protos.StringIntLabelMapItem.display_name', index=2,
number=3, 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='keypoints', full_name='object_detection.protos.StringIntLabelMapItem.keypoints', index=3,
number=4, 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='ancestor_ids', full_name='object_detection.protos.StringIntLabelMapItem.ancestor_ids', index=4,
number=5, type=5, cpp_type=1, 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='descendant_ids', full_name='object_detection.protos.StringIntLabelMapItem.descendant_ids', index=5,
number=6, type=5, cpp_type=1, 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=[_STRINGINTLABELMAPITEM_KEYPOINTMAP, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=80,
serialized_end=318,
)
_STRINGINTLABELMAP = _descriptor.Descriptor(
name='StringIntLabelMap',
full_name='object_detection.protos.StringIntLabelMap',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='item', full_name='object_detection.protos.StringIntLabelMap.item', 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=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=320,
serialized_end=401,
)
_STRINGINTLABELMAPITEM_KEYPOINTMAP.containing_type = _STRINGINTLABELMAPITEM
_STRINGINTLABELMAPITEM.fields_by_name['keypoints'].message_type = _STRINGINTLABELMAPITEM_KEYPOINTMAP
_STRINGINTLABELMAP.fields_by_name['item'].message_type = _STRINGINTLABELMAPITEM
DESCRIPTOR.message_types_by_name['StringIntLabelMapItem'] = _STRINGINTLABELMAPITEM
DESCRIPTOR.message_types_by_name['StringIntLabelMap'] = _STRINGINTLABELMAP
StringIntLabelMapItem = _reflection.GeneratedProtocolMessageType('StringIntLabelMapItem', (_message.Message,), dict(
KeypointMap = _reflection.GeneratedProtocolMessageType('KeypointMap', (_message.Message,), dict(
DESCRIPTOR = _STRINGINTLABELMAPITEM_KEYPOINTMAP,
__module__ = 'object_detection.protos.string_int_label_map_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.StringIntLabelMapItem.KeypointMap)
))
,
DESCRIPTOR = _STRINGINTLABELMAPITEM,
__module__ = 'object_detection.protos.string_int_label_map_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.StringIntLabelMapItem)
))
_sym_db.RegisterMessage(StringIntLabelMapItem)
_sym_db.RegisterMessage(StringIntLabelMapItem.KeypointMap)
StringIntLabelMap = _reflection.GeneratedProtocolMessageType('StringIntLabelMap', (_message.Message,), dict(
DESCRIPTOR = _STRINGINTLABELMAP,
__module__ = 'object_detection.protos.string_int_label_map_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.StringIntLabelMap)
))
_sym_db.RegisterMessage(StringIntLabelMap)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/target_assigner_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/target_assigner.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 box_coder_pb2 as object__detection_dot_protos_dot_box__coder__pb2
from object_detection.protos import matcher_pb2 as object__detection_dot_protos_dot_matcher__pb2
from object_detection.protos import region_similarity_calculator_pb2 as object__detection_dot_protos_dot_region__similarity__calculator__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/target_assigner.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n-object_detection/protos/target_assigner.proto\x12\x17object_detection.protos\x1a\'object_detection/protos/box_coder.proto\x1a%object_detection/protos/matcher.proto\x1a:object_detection/protos/region_similarity_calculator.proto\"\xcd\x01\n\x0eTargetAssigner\x12\x31\n\x07matcher\x18\x01 \x01(\x0b\x32 .object_detection.protos.Matcher\x12R\n\x15similarity_calculator\x18\x02 \x01(\x0b\x32\x33.object_detection.protos.RegionSimilarityCalculator\x12\x34\n\tbox_coder\x18\x03 \x01(\x0b\x32!.object_detection.protos.BoxCoder')
,
dependencies=[object__detection_dot_protos_dot_box__coder__pb2.DESCRIPTOR,object__detection_dot_protos_dot_matcher__pb2.DESCRIPTOR,object__detection_dot_protos_dot_region__similarity__calculator__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_TARGETASSIGNER = _descriptor.Descriptor(
name='TargetAssigner',
full_name='object_detection.protos.TargetAssigner',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='matcher', full_name='object_detection.protos.TargetAssigner.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='similarity_calculator', full_name='object_detection.protos.TargetAssigner.similarity_calculator', 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='box_coder', full_name='object_detection.protos.TargetAssigner.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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=215,
serialized_end=420,
)
_TARGETASSIGNER.fields_by_name['matcher'].message_type = object__detection_dot_protos_dot_matcher__pb2._MATCHER
_TARGETASSIGNER.fields_by_name['similarity_calculator'].message_type = object__detection_dot_protos_dot_region__similarity__calculator__pb2._REGIONSIMILARITYCALCULATOR
_TARGETASSIGNER.fields_by_name['box_coder'].message_type = object__detection_dot_protos_dot_box__coder__pb2._BOXCODER
DESCRIPTOR.message_types_by_name['TargetAssigner'] = _TARGETASSIGNER
TargetAssigner = _reflection.GeneratedProtocolMessageType('TargetAssigner', (_message.Message,), dict(
DESCRIPTOR = _TARGETASSIGNER,
__module__ = 'object_detection.protos.target_assigner_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.TargetAssigner)
))
_sym_db.RegisterMessage(TargetAssigner)
# @@protoc_insertion_point(module_scope)
research/object_detection/protos/train_pb2.py deleted 100644 → 0
View file @ aabe1231
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/train.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 optimizer_pb2 as object__detection_dot_protos_dot_optimizer__pb2
from object_detection.protos import preprocessor_pb2 as object__detection_dot_protos_dot_preprocessor__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='object_detection/protos/train.proto',
package='object_detection.protos',
syntax='proto2',
serialized_pb=_b('\n#object_detection/protos/train.proto\x12\x17object_detection.protos\x1a\'object_detection/protos/optimizer.proto\x1a*object_detection/protos/preprocessor.proto\"\xf7\x08\n\x0bTrainConfig\x12\x16\n\nbatch_size\x18\x01 \x01(\r:\x02\x33\x32\x12M\n\x19\x64\x61ta_augmentation_options\x18\x02 \x03(\x0b\x32*.object_detection.protos.PreprocessingStep\x12\x1c\n\rsync_replicas\x18\x03 \x01(\x08:\x05\x66\x61lse\x12,\n\x1dkeep_checkpoint_every_n_hours\x18\x04 \x01(\x02:\x05\x31\x30\x30\x30\x30\x12\x35\n\toptimizer\x18\x05 \x01(\x0b\x32\".object_detection.protos.Optimizer\x12$\n\x19gradient_clipping_by_norm\x18\x06 \x01(\x02:\x01\x30\x12\x1e\n\x14\x66ine_tune_checkpoint\x18\x07 \x01(\t:\x00\x12#\n\x19\x66ine_tune_checkpoint_type\x18\x16 \x01(\t:\x00\x12T\n\x1c\x66ine_tune_checkpoint_version\x18\x1c \x01(\x0e\x32*.object_detection.protos.CheckpointVersion:\x02V1\x12,\n\x19\x66rom_detection_checkpoint\x18\x08 \x01(\x08:\x05\x66\x61lseB\x02\x18\x01\x12\x31\n\"load_all_detection_checkpoint_vars\x18\x13 \x01(\x08:\x05\x66\x61lse\x12\x14\n\tnum_steps\x18\t \x01(\r:\x01\x30\x12\x1f\n\x13startup_delay_steps\x18\n \x01(\x02:\x02\x31\x35\x12\x1f\n\x14\x62ias_grad_multiplier\x18\x0b \x01(\x02:\x01\x30\x12\"\n\x1aupdate_trainable_variables\x18\x19 \x03(\t\x12\x18\n\x10\x66reeze_variables\x18\x0c \x03(\t\x12 \n\x15replicas_to_aggregate\x18\r \x01(\x05:\x01\x31\x12%\n\x14\x62\x61tch_queue_capacity\x18\x0e \x01(\x05:\x03\x31\x35\x30\x42\x02\x18\x01\x12&\n\x17num_batch_queue_threads\x18\x0f \x01(\x05:\x01\x38\x42\x02\x18\x01\x12&\n\x17prefetch_queue_capacity\x18\x10 \x01(\x05:\x01\x35\x42\x02\x18\x01\x12)\n\x1amerge_multiple_label_boxes\x18\x11 \x01(\x08:\x05\x66\x61lse\x12$\n\x15use_multiclass_scores\x18\x18 \x01(\x08:\x05\x66\x61lse\x12%\n\x17\x61\x64\x64_regularization_loss\x18\x12 \x01(\x08:\x04true\x12$\n\x13max_number_of_boxes\x18\x14 \x01(\x05:\x03\x31\x30\x30\x42\x02\x18\x01\x12\'\n\x19unpad_groundtruth_tensors\x18\x15 \x01(\x08:\x04true\x12%\n\x16retain_original_images\x18\x17 \x01(\x08:\x05\x66\x61lse\x12\x1b\n\x0cuse_bfloat16\x18\x1a \x01(\x08:\x05\x66\x61lse\x12\"\n\x13summarize_gradients\x18\x1b \x01(\x08:\x05\x66\x61lse*0\n\x11\x43heckpointVersion\x12\x0b\n\x07UNKNOWN\x10\x00\x12\x06\n\x02V1\x10\x01\x12\x06\n\x02V2\x10\x02')
,
dependencies=[object__detection_dot_protos_dot_optimizer__pb2.DESCRIPTOR,object__detection_dot_protos_dot_preprocessor__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_CHECKPOINTVERSION = _descriptor.EnumDescriptor(
name='CheckpointVersion',
full_name='object_detection.protos.CheckpointVersion',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='UNKNOWN', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='V1', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='V2', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1295,
serialized_end=1343,
)
_sym_db.RegisterEnumDescriptor(_CHECKPOINTVERSION)
CheckpointVersion = enum_type_wrapper.EnumTypeWrapper(_CHECKPOINTVERSION)
UNKNOWN = 0
V1 = 1
V2 = 2
_TRAINCONFIG = _descriptor.Descriptor(
name='TrainConfig',
full_name='object_detection.protos.TrainConfig',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='batch_size', full_name='object_detection.protos.TrainConfig.batch_size', index=0,
number=1, 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='data_augmentation_options', full_name='object_detection.protos.TrainConfig.data_augmentation_options', 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),
_descriptor.FieldDescriptor(
name='sync_replicas', full_name='object_detection.protos.TrainConfig.sync_replicas', 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='keep_checkpoint_every_n_hours', full_name='object_detection.protos.TrainConfig.keep_checkpoint_every_n_hours', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(10000),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='optimizer', full_name='object_detection.protos.TrainConfig.optimizer', 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='gradient_clipping_by_norm', full_name='object_detection.protos.TrainConfig.gradient_clipping_by_norm', index=5,
number=6, 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='fine_tune_checkpoint', full_name='object_detection.protos.TrainConfig.fine_tune_checkpoint', index=6,
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='fine_tune_checkpoint_type', full_name='object_detection.protos.TrainConfig.fine_tune_checkpoint_type', index=7,
number=22, 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='fine_tune_checkpoint_version', full_name='object_detection.protos.TrainConfig.fine_tune_checkpoint_version', index=8,
number=28, 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='from_detection_checkpoint', full_name='object_detection.protos.TrainConfig.from_detection_checkpoint', index=9,
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=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))),
_descriptor.FieldDescriptor(
name='load_all_detection_checkpoint_vars', full_name='object_detection.protos.TrainConfig.load_all_detection_checkpoint_vars', index=10,
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='num_steps', full_name='object_detection.protos.TrainConfig.num_steps', index=11,
number=9, 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='startup_delay_steps', full_name='object_detection.protos.TrainConfig.startup_delay_steps', index=12,
number=10, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(15),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bias_grad_multiplier', full_name='object_detection.protos.TrainConfig.bias_grad_multiplier', index=13,
number=11, 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='update_trainable_variables', full_name='object_detection.protos.TrainConfig.update_trainable_variables', index=14,
number=25, 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='freeze_variables', full_name='object_detection.protos.TrainConfig.freeze_variables', index=15,
number=12, 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='replicas_to_aggregate', full_name='object_detection.protos.TrainConfig.replicas_to_aggregate', index=16,
number=13, 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='batch_queue_capacity', full_name='object_detection.protos.TrainConfig.batch_queue_capacity', index=17,
number=14, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=150,
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_batch_queue_threads', full_name='object_detection.protos.TrainConfig.num_batch_queue_threads', index=18,
number=15, 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=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))),
_descriptor.FieldDescriptor(
name='prefetch_queue_capacity', full_name='object_detection.protos.TrainConfig.prefetch_queue_capacity', index=19,
number=16, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=5,
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='merge_multiple_label_boxes', full_name='object_detection.protos.TrainConfig.merge_multiple_label_boxes', index=20,
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='use_multiclass_scores', full_name='object_detection.protos.TrainConfig.use_multiclass_scores', index=21,
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='add_regularization_loss', full_name='object_detection.protos.TrainConfig.add_regularization_loss', index=22,
number=18, 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='max_number_of_boxes', full_name='object_detection.protos.TrainConfig.max_number_of_boxes', index=23,
number=20, 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=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))),
_descriptor.FieldDescriptor(
name='unpad_groundtruth_tensors', full_name='object_detection.protos.TrainConfig.unpad_groundtruth_tensors', index=24,
number=21, 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='retain_original_images', full_name='object_detection.protos.TrainConfig.retain_original_images', index=25,
number=23, 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_bfloat16', full_name='object_detection.protos.TrainConfig.use_bfloat16', index=26,
number=26, 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='summarize_gradients', full_name='object_detection.protos.TrainConfig.summarize_gradients', index=27,
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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=150,
serialized_end=1293,
)
_TRAINCONFIG.fields_by_name['data_augmentation_options'].message_type = object__detection_dot_protos_dot_preprocessor__pb2._PREPROCESSINGSTEP
_TRAINCONFIG.fields_by_name['optimizer'].message_type = object__detection_dot_protos_dot_optimizer__pb2._OPTIMIZER
_TRAINCONFIG.fields_by_name['fine_tune_checkpoint_version'].enum_type = _CHECKPOINTVERSION
DESCRIPTOR.message_types_by_name['TrainConfig'] = _TRAINCONFIG
DESCRIPTOR.enum_types_by_name['CheckpointVersion'] = _CHECKPOINTVERSION
TrainConfig = _reflection.GeneratedProtocolMessageType('TrainConfig', (_message.Message,), dict(
DESCRIPTOR = _TRAINCONFIG,
__module__ = 'object_detection.protos.train_pb2'
# @@protoc_insertion_point(class_scope:object_detection.protos.TrainConfig)
))
_sym_db.RegisterMessage(TrainConfig)
_TRAINCONFIG.fields_by_name['from_detection_checkpoint'].has_options = True
_TRAINCONFIG.fields_by_name['from_detection_checkpoint']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
_TRAINCONFIG.fields_by_name['batch_queue_capacity'].has_options = True
_TRAINCONFIG.fields_by_name['batch_queue_capacity']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
_TRAINCONFIG.fields_by_name['num_batch_queue_threads'].has_options = True
_TRAINCONFIG.fields_by_name['num_batch_queue_threads']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
_TRAINCONFIG.fields_by_name['prefetch_queue_capacity'].has_options = True
_TRAINCONFIG.fields_by_name['prefetch_queue_capacity']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
_TRAINCONFIG.fields_by_name['max_number_of_boxes'].has_options = True
_TRAINCONFIG.fields_by_name['max_number_of_boxes']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\030\001'))
# @@protoc_insertion_point(module_scope)
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