Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-07-12 14:28:46 +02:00
parent c77b87489c
commit bb38391342
2 changed files with 3 additions and 3 deletions
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4
test.py
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@ -54,10 +54,10 @@ def test(
seen = 0 seen = 0
model.eval() model.eval()
coco91class = coco80_to_coco91_class() coco91class = coco80_to_coco91_class()
print(('%30s' + '%10s' * 6) % ('Class', 'Images', 'Targets', 'P', 'R', 'mAP', 'F1')) s = ('%30s' + '%10s' * 6) % ('Class', 'Images', 'Targets', 'P', 'R', 'mAP', 'F1')
loss, p, r, f1, mp, mr, map, mf1 = 0., 0., 0., 0., 0., 0., 0., 0. loss, p, r, f1, mp, mr, map, mf1 = 0., 0., 0., 0., 0., 0., 0., 0.
jdict, stats, ap, ap_class = [], [], [], [] jdict, stats, ap, ap_class = [], [], [], []
for batch_i, (imgs, targets, paths, shapes) in enumerate(tqdm(dataloader, desc='Computing mAP')): for batch_i, (imgs, targets, paths, shapes) in enumerate(tqdm(dataloader, desc=s)):
targets = targets.to(device) targets = targets.to(device)
imgs = imgs.to(device) imgs = imgs.to(device)
_, _, height, width = imgs.shape # batch size, channels, height, width _, _, height, width = imgs.shape # batch size, channels, height, width

2
train.py
View File

@ -348,7 +348,7 @@ if __name__ == '__main__':
# Mutate # Mutate
init_seeds(seed=int(time.time())) init_seeds(seed=int(time.time()))
s = [.15, .15, .15, .15, .15, .15, .15, .15, .15, .15, .15, .15] # fractional sigmas s = [.15, .15, .15, .15, .15, .15, .15, .15, .10, .10, .10, .10] # fractional sigmas
for i, k in enumerate(hyp.keys()): for i, k in enumerate(hyp.keys()):
x = (np.random.randn(1) * s[i] + 1) ** 2.0 # plt.hist(x.ravel(), 300) x = (np.random.randn(1) * s[i] + 1) ** 2.0 # plt.hist(x.ravel(), 300)
hyp[k] *= float(x) # vary by 20% 1sigma hyp[k] *= float(x) # vary by 20% 1sigma