Comments (1)
The model performs poorly when the source image contains a complex or dark background. Also, I observed that in extreme in-the-wild cases, sometimes the model can't retain the identity of the person in the source image. But the problem in your example is because of the background. Try using images with a simple, light background.
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Related Issues (20)
- Updated it to PyTorch2.0 and replaced Attention with PyTorch's Multihead attention HOT 1
- how to generate the reference_pose_0.npy from image?
- what is the password of img_highres.zip ? HOT 3
- when I train , why it becomes another people? HOT 2
- how to generate the train_pairs.txt for my dataset ? HOT 1
- 0
- 0
- about Train.py HOT 3
- IndexError: list index out of range
- How long does it take to train 300 epoech
- did you try to train the model in fp16?
- About market-1501
- predict_pose can not get good result when if resize target_pose npy to 1024x1024
- about the size of tgt_pose when inference HOT 7
- Where to get the model for 512*352 resolution ? HOT 1
- .
- it seems import error with new version of pydantic library
- What are the versions of tensorfn and pydantic HOT 2
- uncontrol pose ?
- About pose (keypoint)
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