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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-07-12 16:10:37 +02:00
parent f906bc9872
commit 03c6fe1ffe
1 changed files with 3 additions and 3 deletions
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6
train.py
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@ -240,7 +240,7 @@ def train(
if not (opt.notest or (opt.nosave and epoch < 10)) or epoch == epochs - 1:
with torch.no_grad():
results, maps = test.test(cfg, data_cfg, batch_size=batch_size, img_size=opt.img_size, model=model,
conf_thres=0.1)
conf_thres=0.001)
# Write epoch results
with open('results.txt', 'a') as file:
@ -348,14 +348,14 @@ if __name__ == '__main__':
# Mutate
init_seeds(seed=int(time.time()))
s = [.15, .15, .15, .15, .15, .15, .15, .15, .10, .10, .10, .10] # fractional sigmas
s = [.15, .15, .15, .15, .15, .15, .15, .15, .15, .00, .05, .10] # fractional sigmas
for i, k in enumerate(hyp.keys()):
x = (np.random.randn(1) * s[i] + 1) ** 2.0 # plt.hist(x.ravel(), 300)
hyp[k] *= float(x) # vary by 20% 1sigma
# Clip to limits
keys = ['lr0', 'iou_t', 'momentum', 'weight_decay']
limits = [(1e-4, 1e-2), (0.00, 0.70), (0.60, 0.98), (0, 0.01)]
limits = [(1e-4, 1e-2), (0.00, 0.70), (0.60, 0.95), (0, 0.01)]
for k, v in zip(keys, limits):
hyp[k] = np.clip(hyp[k], v[0], v[1])