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ModelZoo
ResNet50_tensorflow
Commits
67336612
Commit
67336612
authored
Jul 30, 2020
by
Vighnesh Birodkar
Committed by
TF Object Detection Team
Jul 30, 2020
Browse files
Add point to convert_keras_models.py in ResNet error message.
PiperOrigin-RevId: 324052434
parent
5366f605
Changes
2
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2 changed files
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7 additions
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3 deletions
+7
-3
research/object_detection/models/center_net_resnet_feature_extractor.py
...t_detection/models/center_net_resnet_feature_extractor.py
+4
-2
research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
...tion/models/center_net_resnet_v1_fpn_feature_extractor.py
+3
-1
No files found.
research/object_detection/models/center_net_resnet_feature_extractor.py
View file @
67336612
...
@@ -129,8 +129,10 @@ class CenterNetResnetFeatureExtractor(CenterNetFeatureExtractor):
...
@@ -129,8 +129,10 @@ class CenterNetResnetFeatureExtractor(CenterNetFeatureExtractor):
else
:
else
:
supported_types
=
[
'classification'
]
supported_types
=
[
'classification'
]
raise
ValueError
(
raise
ValueError
(
(
'Sub model {} is not defined for ResNet.'
.
format
(
sub_model_type
)
+
(
'Sub model {} is not defined for ResNet.'
.
format
(
sub_model_type
)
'Supported types are {}.'
.
format
(
supported_types
)))
+
'Supported types are {}.'
.
format
(
supported_types
)
+
'Use the script convert_keras_models.py to create your own '
+
'classification checkpoints.'
))
def
resnet_v2_101
(
channel_means
,
channel_stds
,
bgr_ordering
):
def
resnet_v2_101
(
channel_means
,
channel_stds
,
bgr_ordering
):
...
...
research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
View file @
67336612
...
@@ -166,7 +166,9 @@ class CenterNetResnetV1FpnFeatureExtractor(CenterNetFeatureExtractor):
...
@@ -166,7 +166,9 @@ class CenterNetResnetV1FpnFeatureExtractor(CenterNetFeatureExtractor):
supported_types
=
[
'classification'
]
supported_types
=
[
'classification'
]
raise
ValueError
(
raise
ValueError
(
(
'Sub model {} is not defined for ResNet FPN.'
.
format
(
sub_model_type
)
(
'Sub model {} is not defined for ResNet FPN.'
.
format
(
sub_model_type
)
+
'Supported types are {}.'
.
format
(
supported_types
)))
+
'Supported types are {}.'
.
format
(
supported_types
))
+
'Use the script convert_keras_models.py to create your own '
+
'classification checkpoints.'
)
def
resnet_v1_101_fpn
(
channel_means
,
channel_stds
,
bgr_ordering
):
def
resnet_v1_101_fpn
(
channel_means
,
channel_stds
,
bgr_ordering
):
...
...
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