Comments (1)
I guess you have taken the official openpose model.
For official openpose, background is at the 18-th channel, nose at the 0-th channel, but in this repo, background is at the 0-th channel. Thus you get many noses (actually background points after nms).
from pytorch_realtime_multi-person_pose_estimation.
Related Issues (20)
- Are there any pre-trained model?
- Is there any method to order the people in the result?
- dis > 4.6052 in generate_heatmap
- Newly implemented openpose (pytorch) HOT 2
- What is the mAP on MPII or COCO?
- Can this repo achieve the same accuracy of the official code's? HOT 2
- Add a license HOT 2
- low mAP on coco because of preprocessing? HOT 2
- the limbs are not visible after training the model
- Training to detect hand keypoints HOT 1
- error in the code:generate_json_mask.py
- hello,can you share your converted pytorch model to me ?i just need trained model to capture my dataset's pose. HOT 1
- what's your original learning rate? on my training,the loss is in plateau. HOT 1
- generate_json_mask.py not generating absolute path in output filelist and json file
- License not in agreement with README. HOT 1
- is limb_length equal t limb_width? [Solved] HOT 1
- why keypoint (2-16) is defined as limb? HOT 1
- Does multi-lr setting lead to some bugs?
- how to train without gpu?
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from pytorch_realtime_multi-person_pose_estimation.