Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-06-21 10:17:29 +02:00
parent a40f421061
commit 7d7d7a6332
1 changed files with 2 additions and 2 deletions
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train.py
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@ -208,7 +208,7 @@ def train(
# Multi-Scale training # Multi-Scale training
if multi_scale: if multi_scale:
if (i + 1 + nb * epoch) % 10 == 0: #  adjust (67% - 150%) every 10 batches if ((i + 1) / accumulate + nb * epoch) % 10 == 0: #  adjust (67% - 150%) every 10 batches
img_size = random.choice(range(img_size_min, img_size_max + 1)) * 32 img_size = random.choice(range(img_size_min, img_size_max + 1)) * 32
print('img_size = %g' % img_size) print('img_size = %g' % img_size)
scale_factor = img_size / max(imgs.shape[-2:]) scale_factor = img_size / max(imgs.shape[-2:])
@ -360,7 +360,7 @@ 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 = [.5, .5, .5, .5, .5, .5, .5, .5, .5, .05, .5] # xy, wh, cls, conf, iou_t, lr0, lrf, momentum, weight_decay s = [.4, .4, .4, .4, .4, .4, .4, .4, .4, .04, .4] # fractional sigmas
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