Comments (1)
I updated the default training settings. This should help you to achieve the reported results more easily (or in my trainings even surpass them). Let me know if you still struggle after using them.
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Related Issues (20)
- Pip install failed HOT 4
- quick start version will install torch-cpu automaticlly HOT 1
- BIWI Dataset HOT 7
- Pretrained weight cannot be downloaded HOT 2
- is the pretrained model for only faces? HOT 1
- may i ask how does the performance compare with 3ddfav2?
- is there possible to provide a smaller version? HOT 3
- what the difference between those different pretain models?
- RGB inputs or BGR inputs for model.predict(img)? HOT 4
- Import error with pip package HOT 9
- Reference System
- Finetuning the model HOT 1
- Why did you set up the scheduler as MultiStepLR=False? HOT 2
- please tell me where 'output/snapshots/1.pth' in test.py HOT 6
- Using your own trained weight files, the test results lose a lot
- Getting different results using your code and your fine_tuned model for BIWI.
- Is there a way to run this model on Apple M1 that doesn't have CUDA support? HOT 2
- Could not achieve same results in demo HOT 3
- Where is the face detection model in test.py?
- module 'utils' has no attribute 'compute_rotation_matrix_from_ortho6d' HOT 3
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