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People can add their model to the repo via pull request that will be approved if it meet the requirements:
Augmentations described with python package used
Dataset described with link?
Hyperparameters.json file
checkpoint.pth file
epochs, training and test loss file
Evaluation_metrics.json file
With all this information, a script or notebook can then read in the evaluation metrics and plot each evaluation metric vs epochs in suplots e.g. 6 metrics can be displayed in 6 subplots in a 2x3 grid
Examples to be plotted:
"Jaccard": jaccard,
"F1": f1,
"Recall": recall,
"Precision": precision,
"Acc": acc,
"F2": f2,
"Mean FPS": mean_fps,
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People can add their model to the repo via pull request that will be approved if it meet the requirements:
With all this information, a script or notebook can then read in the evaluation metrics and plot each evaluation metric vs epochs in suplots e.g. 6 metrics can be displayed in 6 subplots in a 2x3 grid
Examples to be plotted:
"Jaccard": jaccard,
"F1": f1,
"Recall": recall,
"Precision": precision,
"Acc": acc,
"F2": f2,
"Mean FPS": mean_fps,
Loss vs epochs
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