Ignoring Invisible keypoints at inference time.

leoxiaobin / deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

https://jingdongwang2017.github.io/Projects/HRNet/PoseEstimation.html

MIT License

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Ignoring Invisible keypoints at inference time. #274

Open myatthukyaw-edu opened 2 years ago

myatthukyaw-edu commented 2 years ago

I am running demo.py and making inference on testing videos. But the invisible keypoints locations are not that accurate. So, I want to ignore that keypoints and get only visible keypoints. I found IN_VIS_THRE parameter in config .yaml files. I changed that value and test it. But it didn't work.

minmin518 commented 1 year ago

I have the same problem, have you solved it? thank you very much