updates
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a4f2ad1660
commit
c711719280
4
train.py
4
train.py
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@ -250,7 +250,7 @@ def print_mutation(hyp, results):
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c = '%11.3g' * len(results) % results # results (P, R, mAP, F1, test_loss)
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c = '%11.3g' * len(results) % results # results (P, R, mAP, F1, test_loss)
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print('\n%s\n%s\nEvolved fitness: %s\n' % (a, b, c))
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print('\n%s\n%s\nEvolved fitness: %s\n' % (a, b, c))
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with open('evolve.txt', 'a') as f:
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with open('evolve.txt', 'a') as f:
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f.write(c + a + '\n')
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f.write(c + b + '\n')
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if __name__ == '__main__':
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if __name__ == '__main__':
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@ -306,7 +306,7 @@ if __name__ == '__main__':
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# Mutate hyperparameters
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# Mutate hyperparameters
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old_hyp = hyp.copy()
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old_hyp = hyp.copy()
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init_seeds(seed=int(time.time()))
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init_seeds(seed=int(time.time()))
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s = [.3, .3, .3, .3, .3, .3, .3, .3, .03, .3]
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s = [.2, .2, .2, .2, .2, .2, .2, .2, .02, .2]
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for i, k in enumerate(hyp.keys()):
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for i, k in enumerate(hyp.keys()):
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x = (np.random.randn(1) * s[i] + 1) ** 1.1 # plt.hist(x.ravel(), 100)
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x = (np.random.randn(1) * s[i] + 1) ** 1.1 # plt.hist(x.ravel(), 100)
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hyp[k] = hyp[k] * float(x) # vary by about 30% 1sigma
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hyp[k] = hyp[k] * float(x) # vary by about 30% 1sigma
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