updates
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			@ -223,7 +223,7 @@ def train(cfg,
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        # Update image weights (optional)
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        if dataset.image_weights:
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            w = model.class_weights.cpu().numpy() * (1 - maps)  # class weights
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            w = model.class_weights.cpu().numpy() * (1 - maps) ** 2  # class weights
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            image_weights = labels_to_image_weights(dataset.labels, nc=nc, class_weights=w)
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            dataset.indices = random.choices(range(dataset.n), weights=image_weights, k=dataset.n)  # rand weighted idx
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