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deep-high-resolution-net.pytorch reviews and mentions
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Deadlift videos needed [AI]
I am sure you have some great ideas in mind for your model design, but a quick tip (from having worked on a similar project) - it may be very challenging to simply take raw videos as input (especially with unconstrained camera viewpoints) without doing some feature extraction/keypoint detection first. For example, open-source plug-and-play 2D keypoint detectors are extremely good nowadays (e.g HRNet), and explicitly detecting 2D keypoints before classifying deadlift videos as "good" or "bad" will likely make the task more feasible!
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[D] HRNET- Human Pose Estimation [Implementation]
The repo is well maintained on GitHub and I have replicated the author's work. But I didn't get much understanding of how things are working there. I didn't see any results.
- Help finding an appropriate model for human pose estimation
- Real time 3d reconstruction with known parameters of cameras and environment?
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Stats
leoxiaobin/deep-high-resolution-net.pytorch is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of deep-high-resolution-net.pytorch is Cuda.
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