GIoU to default
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4
train.py
4
train.py
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@ -284,7 +284,7 @@ def print_mutation(hyp, results):
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if opt.cloud_evolve:
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os.system('gsutil cp gs://yolov4/evolve.txt .') # download evolve.txt
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with open('evolve.txt', 'a') as f: # append result to evolve.txt
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with open('evolve.txt', 'a') as f: # append result
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f.write(c + b + '\n')
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os.system('gsutil cp evolve.txt gs://yolov4') # upload evolve.txt
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else:
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@ -332,7 +332,7 @@ if __name__ == '__main__':
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print_mutation(hyp, results) # Write mutation results
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for _ in range(gen):
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# Get best hyperparamters
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# Get best hyperparameters
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x = np.loadtxt('evolve.txt', ndmin=2)
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fitness = x[:, 2] * 0.9 + x[:, 3] * 0.1 # fitness as weighted combination of mAP and F1
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x = x[fitness.argmax()] # select best fitness hyps
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