Shypd.aiThe largest open index of AI toolspytorch-pose-hg-3d is an Open Source research tool that provides a PyTorch implementation for 3D human pose estimation. It offers a weakly-supervised approach for estimating human poses in the wild, making it valuable for computer vision and machine learning projects.
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pytorch-pose-hg-3d is an open-source PyTorch implementation designed for 3D human pose estimation. This tool utilizes a weakly-supervised approach to accurately estimate human poses in diverse, real-world scenarios. It has been updated to incorporate a ResNet50 backbone with deconvolution layers, significantly improving training speed by approximately three times compared to the original hourglass network. The depth regression sub-network has also been changed to a one-layer depth map, as described in the StarMap project. Furthermore, it supports the official Human3.6M dataset release for ECCV18 challenge and is compatible with Python 3.6 and PyTorch v0.4.1. This makes it a robust solution for researchers and developers focused on advanced computer vision and machine learning applications involving human pose analysis.
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