Murtaza #4
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Murtaza #4
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…ts and maybe a change in structure. Need to add an output of losses while training these(probably using tqdm).
…save_checkpoint method. Also, need to fix the loss.
For now, `load_model` and `save_model` will be used. Although a better checkpoint with current epoch, optimizer state dict, current loss and much more will be added.
2. Fixed the aggregation of loss, so that it returns the mean loss untill that point. 3. Added timestamps to the checkpoints' files.
2. A new Base class added to have similar training procedure for all the different modules.
…t__ for packaging
…er_recognition 2. Fixed a typo in load_model of BaselineDetector
…"forward_step". Made changes in the function so it acts as the common method for both "train_step" and "val_step".
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PyTorch Implementation