updates
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train.py
4
train.py
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@ -61,7 +61,7 @@ hyp = {'giou': 1.43, # giou loss gain
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'cls': 11.7, # cls loss gain
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'cls_pw': 4.81, # cls BCELoss positive_weight
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'obj': 11.5, # obj loss gain
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'obj_pw': 1.56, # obj BCELoss positive_weight
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'obj_pw': 1.0, # obj BCELoss positive_weight
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'iou_t': 0.281, # iou training threshold
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'lr0': 0.0013, # initial learning rate
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'lrf': -4., # final LambdaLR learning rate = lr0 * (10 ** lrf)
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@ -375,7 +375,7 @@ if __name__ == '__main__':
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x = np.loadtxt('evolve.txt', ndmin=2)
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x = x[fitness(x).argmax()] # select best fitness hyps
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for i, k in enumerate(hyp.keys()):
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hyp[k] = x[i + 5]
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hyp[k] = x[i + 7]
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# Mutate
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init_seeds(seed=int(time.time()))
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