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Folders
- checkpoints
- here to save training checkpoint, log, etc
- core
- training, validating fuctions are in this folder
- loss
- some loss fuctions
- models
- all models are in this folder, you could import from models
- my_data
- train data, test data folder
- result
- predict result
- checkpoints
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Files
- mean_std_calculation.ipynb
- calculate train set mean & std
- predict_classification.py
- predict are processing in this script
- test.py
- test script, you could run some test in this scrip, if you want to
- torch_convert.py
- get all the training images and labels, and split train test set
- torch_dataset.py
- pytorch dataset setupt according tor data format
- train_efficient.py
- train script, here is efficientnet, so name train_efficient
- train_efficientnet_album.py
- train script, efficientnet training using albumentations for data augmentation
- mean_std_calculation.ipynb
-
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