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ModelZoo
ResNet50_tensorflow
Commits
e186a940
Commit
e186a940
authored
Jul 29, 2020
by
syiming
Browse files
change doc string for rpn_box_predictor_features
parent
782d3852
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research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
...ect_detection/meta_architectures/faster_rcnn_meta_arch.py
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research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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e186a940
...
@@ -759,7 +759,7 @@ class FasterRCNNMetaArch(model.DetectionModel):
...
@@ -759,7 +759,7 @@ class FasterRCNNMetaArch(model.DetectionModel):
Returns:
Returns:
prediction_dict: a dictionary holding "raw" prediction tensors:
prediction_dict: a dictionary holding "raw" prediction tensors:
1) rpn_box_predictor_features: A list of 4-D float32 tensor with shape
1) rpn_box_predictor_features: A list of 4-D float32 tensor with shape
[batch_size, height, width, depth] to be used for predicting proposal
[batch_size, height
_i
, width
_j
, depth] to be used for predicting proposal
boxes and corresponding objectness scores.
boxes and corresponding objectness scores.
2) rpn_features_to_crop: A list of 4-D float32 tensor with shape
2) rpn_features_to_crop: A list of 4-D float32 tensor with shape
[batch_size, height, width, depth] representing image features to crop
[batch_size, height, width, depth] representing image features to crop
...
@@ -847,7 +847,7 @@ class FasterRCNNMetaArch(model.DetectionModel):
...
@@ -847,7 +847,7 @@ class FasterRCNNMetaArch(model.DetectionModel):
Returns:
Returns:
prediction_dict: a dictionary holding "raw" prediction tensors:
prediction_dict: a dictionary holding "raw" prediction tensors:
1) rpn_box_predictor_features: A 4-D float32/bfloat16 tensor with shape
1) rpn_box_predictor_features: A 4-D float32/bfloat16 tensor with shape
[batch_size, height, width, depth] to be used for predicting proposal
[batch_size, height
__i
, width
_j
, depth] to be used for predicting proposal
boxes and corresponding objectness scores.
boxes and corresponding objectness scores.
2) rpn_features_to_crop: A list of 4-D float32/bfloat16 tensor with shape
2) rpn_features_to_crop: A list of 4-D float32/bfloat16 tensor with shape
[batch_size, height, width, depth] representing image features to crop
[batch_size, height, width, depth] representing image features to crop
...
...
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