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tried to run demo
![image](https://user-images.githubusercontent.com/19648595/88318020-ccfdf900-cd22-11ea-9ef5-ed5cd7b13df1.png)
image size in config file is single integer but in _box2cs() expecti…
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I following the steps in the readme file. However, I met such error.
Traceback (most recent call last):
File "tools/dist_train.py", line 312, in
main()
File "tools/dist_train.py", line …
lxtGH updated
4 years ago
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Parameters shown in document models.py POSE_HIGHER_RESOLUTION_NET.DECONV.NUM_DCONVS = 2
https://github.com/HRNet/HigherHRNet-Human-Pose-Estimation/blob/b4610aecaa5cf3de3cd69bfb13c7c79c8d514c7c/lib…
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Apparently HrNET , for 2d pose estimation has higher accuracy and i guess that will improve the lifting from the 2D keypoints much better. However the `joint order` is `COCO keypoints` order and thus …
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I want to train with only few joints. How do I reduce the output layers to accommodate that? Currently pred(17) and gt tensors are not matching.
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Wow congratulations for the amazing library!
I am looking to implement high-quality semantic segmentation on a mobile device for accurate human segmentation for still images (i.e. _non-realtime_). …
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您好,首先我出现这样的问题:
RuntimeError: Ninja is required to load C++ extensions
然后我pip install ninja成功以后
又出现这样的问题:
/usr/local/lib/python3.5/dist-packages/torch/utils/cpp_extension.py:118: UserWarning:
…
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Thank you for your great work!
On Google Colaboratory, Model load is failed.
I use this model 'pose_higher_hrnet_w32_512.pth'(Get from Google Drive https://drive.google.com/open?id=1V9Iz0ZYy9m8Veas…
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Hi!
Is this also compatible with the Simple Baselines models provided in the original HRNet repository? (for example, pose_resnet_50_256x192.pth)
Thank you
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R50 and R50_dcn have the same performance as https://github.com/sfzhang15/ATSS
But R101, R101_dcn, X101_32x8d_dcn,X101_64x4d_dcn is 1.0 lower than the paper claim.