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you wrote "Download human36m dataset from the official website
Unpack downloaded zip files into a single folder (which I suggest you name it human36m) and put it under path-to-your-datasets"
But, …
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I'm new to 3D keypoints detection. When preparing the Human3.6M dataset, I find that the structure of the preprocessed data in mmpose is different with that of [PoseNet](https://github.com/mks0601/3DM…
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在做annotation,但是官方realse的权重在human36M上都表现都比较一般,测出来的mpjpe太大了不适合进一步做数据集,希望能realse一下human36的权重
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Thanks your work.
I can't find the link to download the bbox_human36m_output.json in README and bbox_mupots_output.json.
can you give me some suggest?
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Hi, thanks for the great work.
I have a problem with the prepared 2d pose data. The issue is that I visualize the pose with human36m images. But I observe the 2d pose for subject S9, action Waitin…
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When I prepare to run experiments on Human 3.6M dataset, I found that the __getitem__ function calls the function from the class it inheritates, which is JointDataset, but JointDateset return 2 items …
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When the required action is sittingdown, the current file will read both the sitting and sittingdown. This will affect the accuracy of the sequence of sittingdown
So I suggest to add some lines to di…
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Hi, @mks0601
Thanks for your excellent work and code.
However, when I check the fitting results on the H36M test set (S9 & S11), it seems that there are several samples that have totally wrong …
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Following the instructions at issue #24 and #19, I was able to successfully test on the CMU Panoptic Dataset using the provided pretrained Human36M weights (more specifics [here](https://github.com/Sa…
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Hi, thank you for quite great work and consistent contribution on 3D human&hand!
I am confused about the better MPJPE on lixel (55.83mm) vs. param (66.05mm)
```
>>> Using GPU: 4,5,6,7
Stage: param…