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Resampling data #8
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enhancement
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Average is |
Method to find angle occurrence: # Find angle occurrence
unique_angles, counts = np.unique(np.around(angle_list, 3), return_counts=True)
stat = [(angle, count) for angle, count in zip(unique_angles, counts) if count > threshold] Can be useful. |
I can't resample too much otherwise I won't have enough data to train the network on. Need to explore other issues. |
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As shown in issue #7 the angles are not well distributed with a strong imbalance for angles between
![image](https://private-user-images.githubusercontent.com/86256324/244490496-05559447-5583-44ea-bd38-406f31de7509.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.fFeu4aoPiP9kQcPKGCu04eoTQ-y8tkHFhvtLkaYmRjM)
0.41
and0.48
. This issue explores resampling for better training.The text was updated successfully, but these errors were encountered: