Force non-zero hyp evolution weights `w` (#3748)
Fix for https://github.com/ultralytics/yolov5/issues/3741pull/3759/head
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train.py
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train.py
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@ -608,7 +608,7 @@ def main(opt):
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x = np.loadtxt('evolve.txt', ndmin=2)
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n = min(5, len(x)) # number of previous results to consider
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x = x[np.argsort(-fitness(x))][:n] # top n mutations
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w = fitness(x) - fitness(x).min() # weights
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w = fitness(x) - fitness(x).min() + 1E-6 # weights (sum > 0)
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if parent == 'single' or len(x) == 1:
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# x = x[random.randint(0, n - 1)] # random selection
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x = x[random.choices(range(n), weights=w)[0]] # weighted selection
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