Sorted datasets update to `cache_labels()` (#4845)
PR should produce datasets sorted alphabetically by filename. Cache version incremented to 0.5. Note: will force a one-time re-caching of existing datasets on first-use.
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@ -487,7 +487,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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nm, nf, ne, nc, msgs = 0, 0, 0, 0, [] # number missing, found, empty, corrupt, messages
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desc = f"{prefix}Scanning '{path.parent / path.stem}' images and labels..."
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with Pool(NUM_THREADS) as pool:
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pbar = tqdm(pool.imap_unordered(verify_image_label, zip(self.img_files, self.label_files, repeat(prefix))),
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pbar = tqdm(pool.imap(verify_image_label, zip(self.img_files, self.label_files, repeat(prefix))),
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desc=desc, total=len(self.img_files))
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for im_file, l, shape, segments, nm_f, nf_f, ne_f, nc_f, msg in pbar:
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nm += nm_f
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@ -508,7 +508,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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x['hash'] = get_hash(self.label_files + self.img_files)
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x['results'] = nf, nm, ne, nc, len(self.img_files)
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x['msgs'] = msgs # warnings
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x['version'] = 0.4 # cache version
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x['version'] = 0.5 # cache version
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try:
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np.save(path, x) # save cache for next time
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path.with_suffix('.cache.npy').rename(path) # remove .npy suffix
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