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list of files to exclude: I would like to make the list of files to exclude to use wildcards / regex, rather than explicitly passing the names of the files.
train/test split: a true(er) test for generalisation would be to have different videos in the test set, and left and right videos always together in the same set (either train or test). Can we implement this, aka the train set to only have some videos (both Left and Right versions)? Robustness tests: non-overlapping test/train datasets #178
change CLI input arguments for evaluate_model.py script. Right now, we are passing directly the list of full paths to the image directories and the list of full paths to annotation files, which is not the most convenient. I think we can factor out and reuse the bits from the train_model.py script.
tracking the split_seed in MLFlow - I think right now it is not being logged correctly (any help here is more than welcome).
The text was updated successfully, but these errors were encountered:
list of files to exclude: I would like to make the list of files to exclude to use wildcards / regex, rather than explicitly passing the names of the files.train/test split: a true(er) test for generalisation would be to have different videos in the test set, and left and right videos always together in the same set (either train or test). Can we implement this, aka the train set to only have some videos (both Left and Right versions)? Robustness tests: non-overlapping test/train datasets #178
change CLI input arguments for evaluate_model.py script. Right now, we are passing directly the list of full paths to the image directories and the list of full paths to annotation files, which is not the most convenient. I think we can factor out and reuse the bits from the train_model.py script.
tracking the split_seed in MLFlow - I think right now it is not being logged correctly (any help here is more than welcome).
The text was updated successfully, but these errors were encountered: