Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-04-18 15:24:58 +02:00
parent ee410481a0
commit 8fcfb6ac3a
1 changed files with 8 additions and 8 deletions
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16
train.py
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@ -93,11 +93,11 @@ def train(
scheduler = optim.lr_scheduler.LambdaLR(optimizer, lr_lambda=lf, last_epoch=start_epoch - 1) scheduler = optim.lr_scheduler.LambdaLR(optimizer, lr_lambda=lf, last_epoch=start_epoch - 1)
# scheduler = optim.lr_scheduler.MultiStepLR(optimizer, milestones=[218, 245], gamma=0.1, last_epoch=start_epoch - 1) # scheduler = optim.lr_scheduler.MultiStepLR(optimizer, milestones=[218, 245], gamma=0.1, last_epoch=start_epoch - 1)
# y = [] y = []
# for epoch in range(epochs): for _ in range(epochs):
# scheduler.step() scheduler.step()
# y.append(optimizer.param_groups[0]['lr']) y.append(optimizer.param_groups[0]['lr'])
# plt.plot(y) plt.plot(y)
# Dataset # Dataset
dataset = LoadImagesAndLabels(train_path, img_size=img_size, augment=True) dataset = LoadImagesAndLabels(train_path, img_size=img_size, augment=True)
@ -246,11 +246,11 @@ def train(
def print_mutation(hyp, results): def print_mutation(hyp, results):
# Write mutation results # Write mutation results
a = '%11s' * len(hyp) % tuple(hyp.keys()) # hyperparam keys a = '%11s' * len(hyp) % tuple(hyp.keys()) # hyperparam keys
b = '%11.3g' * len(results) % results # results (P, R, mAP, F1, test_loss) b = '%11.4g' * len(hyp) % tuple(hyp.values()) # hyperparam values
c = '%11.4g' * len(hyp) % tuple(hyp.values()) # hyperparam values c = '%11.3g' * len(results) % results # results (P, R, mAP, F1, test_loss)
print('\n%s\n%s\nEvolved fitness: %s\n' % (a, b, c)) print('\n%s\n%s\nEvolved fitness: %s\n' % (a, b, c))
with open('evolve.txt', 'a') as f: with open('evolve.txt', 'a') as f:
f.write(a + b + '\n') f.write(c + a + '\n')
if __name__ == '__main__': if __name__ == '__main__':