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The commit was done to update the laboratory files
Reads images, computes HOGs, and trains SVM (only considering one scale)
Uses 7245 negative points to train, one for each image in the train subset (against 12242 positives). Can be improved.
the constant b now is saved
get a pixel-by-pixel label where 1 is a face.
Function that is needed, might be wrong in thee space labeling
Has failed again :/
small update
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