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Code optimisation #14

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adrienju opened this issue Jan 24, 2020 · 1 comment

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adrienju commented Jan 24, 2020

TODO to improve the code architecture :
train.py

Function for the display images (train.py l123)
Switch logger and output folders to utils (train.py l137)
trainer.py
Switch the output classifier to the segmentation head (trainer.py)
Factorize the encoding in the trainer (trainer 253, 292 etc..)
-Optimize compute_semantic_seg_loss()
-clean the sample() function and add synthetic data in the comet
-add a resume to the segmentation head

Contributor

vict0rsch commented Feb 4, 2020

change the name of file lists => not _seg but _mask

vict0rsch added the enhancement label

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