I am looking for a animal pose estimation code that predicts the pose of an animal given 100-200 annotated frames from scratch using deep learning on a frame-by-frame basis. Is there any such code? I am not looking for something like DeepLabCut or DeepPoseKit or LEAP/SLEAP.ai tools. Looking for a simple baseline preferably written in PyTorch that could be easily modified.
Have a look at https://github.com/topics/pose-estimation?l=python
https://awesomeopensource.com/projects/pose-estimation
I don't think so that you may be able to find a simple base line code for Animal Pose Estimation (APE). You have to write your own code for APE. Please look at the following code. It was written in KERAS. You may re-write it into PyTorch.
https://github.com/saptera/OptiFlex
Thanks.
Hello Umair,
Hope you are doing well.
There are some useful sources related to your question.
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning. (https://elifesciences.org/articles/47994 )
https://github.com/topics/animal-pose-estimation
https://www.biorxiv.org/content/10.1101/620245v2.full
https://arxiv.org/abs/1605.03170
SLEAP: Social LEAP Estimates Animal Poses (https://github.com/talmo/leap)
dataset (https://dataspace.princeton.edu/handle/88435/dsp01pz50gz79z)
BW
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