Comments (4)
shaohua0116
commented on July 25, 2024
1
Please just ignore the foreground mask. I actually do not use it for the model. It was just used for testing if the model is able to learn to predict the foreground mask at the very beginning of this project. I will remove it from the code later. Sorry for the confusion!
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AmirMahdiNassiri
commented on July 25, 2024
1
@shaohua0116 Thank you so much for the fast reply and the clarification. Your support is greatly appreciated. Wish you the best in your future endeavors.
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shaohua0116
commented on July 25, 2024
1
I have removed the foreground mask from the code and done some code cleanup. Thank you!
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AmirMahdiNassiri
commented on July 25, 2024
I sincerely thank you for actively maintaining the repository
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Related Issues (20)
- Supplementary material? HOT 2
- About Flow module HOT 8
- implementation of residual block HOT 1
- trainning problem HOT 2
- Aggregate output
- Evaluate model from checkpoints HOT 3
- The poses in the KITTI dataset
- something about normalization HOT 3
- About quantitative indicators and visualization results HOT 1
- The number of source images & tensorboard images
- Performance issue in the definition of build_loss, model.py(P1) HOT 1
- Sharing the scripts to make hdf5 file for custom dataset HOT 4
- Can anyone tell me how much training time is needed after running the trainer.py script? I have a NVIDIA RTX A6000 GPU.
- load kitti checkpoint failed HOT 4
- Per-pixel confidence loss question HOT 1
- Implementing the code HOT 10
- about training steps HOT 7
- About your code HOT 1
- Batch Normalization HOT 1
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