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car-detection-bayes
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updates

This commit is contained in:
glenn-jocher 2019-06-30 15:24:34 +02:00
parent eeae43c414
commit 388b66dcd0
1 changed files with 10 additions and 9 deletions
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19
train.py
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@ -148,12 +148,13 @@ def train(
collate_fn=dataset.collate_fn)
# Mixed precision training https://github.com/NVIDIA/apex
try:
from apex import amp
model, optimizer = amp.initialize(model, optimizer, opt_level='O1')
mixed_precision = True
except: # not installed: install help: https://github.com/NVIDIA/apex/issues/259
mixed_precision = False
mixed_precision = True
if mixed_precision:
try:
from apex import amp
model, optimizer = amp.initialize(model, optimizer, opt_level='O1')
except: # not installed: install help: https://github.com/NVIDIA/apex/issues/259
mixed_precision = False
# Start training
model.hyp = hyp # attach hyperparameters to model
@ -343,10 +344,10 @@ if __name__ == '__main__':
# Mutate hyperparameters
old_hyp = hyp.copy()
init_seeds(seed=int(time.time()))
s = [.4, .4, .4, .4, .4, .4, .4, .4, .4 * 0, .4 * 0, .04 * 0, .4 * 0] # fractional sigmas
s = [.2, .2, .2, .2, .2, .2, .2, .2, .2 * 0, .2 * 0, .05 * 0, .2 * 0] # fractional sigmas
for i, k in enumerate(hyp.keys()):
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
x = (np.random.randn(1) * s[i] + 1) ** 3.0 # plt.hist(x.ravel(), 300)
hyp[k] *= float(x) # vary by about 30% 1sigma
# Clip to limits
keys = ['lr0', 'iou_t', 'momentum', 'weight_decay']