Bienqq
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car-detection-bayes
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Glenn Jocher 2019-05-08 14:25:13 +02:00
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commit fa11c951ad
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classes=80
train=./data/coco_32img.txt
valid=./data/coco_32img.txt
names=data/coco.names
backup=backup/
eval=coco

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train.py
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@ -324,7 +324,7 @@ if __name__ == '__main__':
# Mutate hyperparameters # Mutate hyperparameters
old_hyp = hyp.copy() old_hyp = hyp.copy()
init_seeds(seed=int(time.time())) init_seeds(seed=int(time.time()))
s = [.2, .2, .2, .2, .2, .3, .2, .2, .01, .3] s = [.2, .2, .2, .2, .3, .2, .2, .02, .3]
for i, k in enumerate(hyp.keys()): for i, k in enumerate(hyp.keys()):
x = (np.random.randn(1) * s[i] + 1) ** 1.1 # plt.hist(x.ravel(), 100) x = (np.random.randn(1) * s[i] + 1) ** 1.1 # plt.hist(x.ravel(), 100)
hyp[k] = hyp[k] * float(x) # vary by about 30% 1sigma hyp[k] = hyp[k] * float(x) # vary by about 30% 1sigma