Comments (5)
hi, I have the same problem as you, have you solved it?
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@Momom52 I haven't been able to solve it yet. I'm going to try to train the model and test using the updated checkpoint.
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@Momom52 I retrained the model and used a different checkpoint for testing. The test run gave fair results after that.
python test.py --name newtest --stage GMM --workers 4 --datamode test --data_list test_pairs.txt --checkpoint checkpoints/gmm_train_new/step_140000.pth --tensorboard_dir newboard
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I have the same problem, even when trying with different checkpoints. Any ideas anyone?
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Related Issues (20)
- Training gives runtime shape error on first image HOT 1
- Preprocessed image's pixel values are different
- Restart training from checkpoint HOT 2
- RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.
- Cloth mask images are blank having white background HOT 1
- Generating the mask of the clothes HOT 2
- The size of tensor a (192) must match the size of tensor b (3) at non-singleton dimension 2 HOT 3
- RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead. HOT 1
- Is the tps RBF code error?
- CPU
- data type
- Some images are in both test and train data
- Where are the pretrained models for this? HOT 2
- How to get image-mask? HOT 1
- If you want inference just one step, use this code HOT 3
- Cp1
- Cp
- ะกั
- viton_resize dataset
- How to obtain pretrained model?
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