updates
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train.py
2
train.py
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@ -351,7 +351,7 @@ if __name__ == '__main__':
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init_seeds(seed=int(time.time()))
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s = [.2, .2, .2, .2, .2, .2, .2, .2, .2 * 0, .2 * 0, .05 * 0, .2 * 0] # fractional sigmas
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for i, k in enumerate(hyp.keys()):
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x = (np.random.randn(1) * s[i] + 1) ** 3.0 # plt.hist(x.ravel(), 300)
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x = (np.random.randn(1) * s[i] + 1) ** 2.0 # plt.hist(x.ravel(), 300)
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hyp[k] *= float(x) # vary by about 30% 1sigma
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# Clip to limits
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