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The repository that this is forked from is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results...

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Great work @Samleo8 ! Is it possible of you could share the preprocessed data of the cmu panoptic dataset? Thanks

Fixed cmu evaluation command

I am the following error when I try to run the demo script `NotADirectoryError: [Errno 20] Not a directory: './logs/[email protected]:00:21'` Please guide me how can I resolve this? Thanks

It's a great repo. In your code there is a 'visualise_results' file, I run it but I only see this: ![image](https://user-images.githubusercontent.com/59220627/101148750-fd528e00-3658-11eb-858f-e4fa48d10eec.png) Is it correct and can I see the 3D...

hi, I want to know what is the coco 19 format. Could you give an example? [https://github.com/Samleo8/learnable-triangulation-pytorch/blob/master/SETUP_GENERAL_DATASET.md#pose-data-needed-for-training-and-volumetric-triangulation-testing](url)

Hi, I am trying to collect the correct camera calibration data for my own dataset in this format: ``` [ { 'id': 3, // optional 'R': [ /* 3x3 rotation...

Where is the file mrcnn-detections?

Can i change the 2D backbone network for training?