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This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human p...

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Hi there I have successfully run the algebraic model, but have a problem with points in 3D. The attached image shows the points in the image in the correct place...

In your paper under _Experiments > CMU Panoptic Dataset_, you noted that > We also conducted experiments to demonstrate that the learnt model indeed generalizes to new setups. For that...

Thanks for your work! May I hava a question about pretrained pose-resnet backbone setting? The number of COCO (OpenPose version) keypoints is 18, the number of MPII keypoints is 16,...

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.10.0 to 3.18.3. Release notes Sourced from protobuf's releases. Protocol Buffers v3.18.3 C++ Reduce memory consumption of MessageSet parsing This release addresses a Security Advisory for C++...

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.17.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Hi, thanks a lot for your great job! I'm trying to train your model on CMU Panoptic benchmark. I found that there are a few videos with blurred images, offset...

Bumps [opencv-python](https://github.com/skvark/opencv-python) from 4.1.1.26 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...

dependencies

Hi all, I'm trying to use the triangulation method on my own dataset but I struggle to understand how can the third component of the 2D homogeneous keypoints be ignored....

Hello. Thanks for your great job. I am currently reading your paper, but I felt confusion about some details about volumetric method. You said in your paper while illustrating the...

Hi! I wonder why did you use "scale_keypoints_3d". Is it just to reduce the scale of loss? https://github.com/karfly/learnable-triangulation-pytorch/blob/9d1a26ea893a513bdff55f30ecbfd2ca8217bf5d/train.py#L217