updates
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@ -864,7 +864,7 @@ def apply_classifier(x, model, img, im0):
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def fitness(x):
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# Returns fitness (for use with results.txt or evolve.txt)
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w = [0.1, 0.1, 0.6, 0.2] # weights for [P, R, mAP, F1]@0.5 or [P, R, mAP@0.5:0.95, mAP@0.5]
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return (x[:, :4] * np.array([w])).sum(1)
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return (x[:, :4] * w).sum(1)
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# Plotting functions ---------------------------------------------------------------------------------------------------
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