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Issue Summary
I'm trying to train OpenPose with my own dataset that only has 23 keypoints (some intersection between Body25 keypoints + new keypoints). I tried modifying pose_training.prototxt and pose_deploy.prototxt to have 23 ouputs instead of 25 but I get a dimension error. Are there any resources on how to reconfigure the OpenPose training routine for different keypoint numbers?
Executed Command (if any)
Note: add --logging_level 0 --disable_multi_thread to get higher debug information.
Posting rules
Error
).Posts which do not follow these rules will be ignored, closed, or reported with no further clarification.
Issue Summary
I'm trying to train OpenPose with my own dataset that only has 23 keypoints (some intersection between Body25 keypoints + new keypoints). I tried modifying pose_training.prototxt and pose_deploy.prototxt to have 23 ouputs instead of 25 but I get a dimension error. Are there any resources on how to reconfigure the OpenPose training routine for different keypoint numbers?
Executed Command (if any)
Note: add
--logging_level 0 --disable_multi_thread
to get higher debug information.OpenPose Output (if any)
Errors (if any)
F0428 10:25:22.296805 743 eltwise_layer.cpp:34] Check failed: bottom[0]->shape() == bottom[i]->shape() bottom[0]: 10 23 46 46 (486680), bottom[1]: 10 25 46 46 (529000)
Type of Issue
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Your System Configuration
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lsb_release -a
in Ubuntu):gcc --version
in Ubuntu or VS version in Windows): 5.4.0, ... (Ubuntu); VS2015 Enterprise Update 3, VS2017 community, ... (Windows); ...?Non-default settings:
3rd-party software:
cmake --version
in Ubuntu):apt-get install libopencv-dev
(only Ubuntu); OpenPose default (only Windows); compiled from source? If so, 2.4.9, 2.4.12, 3.1, 3.2?; ...?If GPU mode issue:
cat /usr/local/cuda/version.txt
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in Ubuntu):If CPU-only mode issue:
If Python API:
python -c "import numpy; print numpy.version.version"
in Ubuntu):If Windows system:
If speed performance issue:
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