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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-09-09 22:42:38 +02:00
parent b91899ffc4
commit 4445715f4c
1 changed files with 5 additions and 2 deletions
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7
train.py
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@ -39,7 +39,7 @@ def train():
cfg = opt.cfg cfg = opt.cfg
data = opt.data data = opt.data
img_size = opt.img_size img_size = opt.img_size
epochs = 1 if opt.prebias else opt.epochs # 500200 batches at bs 16, 117263 images = 273 epochs epochs = 1 if opt.prebias else opt.epochs # 500200 batches at bs 64, 117263 images = 273 epochs
batch_size = opt.batch_size batch_size = opt.batch_size
accumulate = opt.accumulate # effective bs = batch_size * accumulate = 16 * 4 = 64 accumulate = opt.accumulate # effective bs = batch_size * accumulate = 16 * 4 = 64
weights = opt.weights # initial training weights weights = opt.weights # initial training weights
@ -348,7 +348,9 @@ def train():
# end epoch ---------------------------------------------------------------------------------------------------- # end epoch ----------------------------------------------------------------------------------------------------
# Report time # end training
if len(opt.name):
os.rename('results.txt', 'results_%s.txt' % opt.name)
plot_results() # save as results.png plot_results() # save as results.png
print('%g epochs completed in %.3f hours.\n' % (epoch - start_epoch + 1, (time.time() - t0) / 3600)) print('%g epochs completed in %.3f hours.\n' % (epoch - start_epoch + 1, (time.time() - t0) / 3600))
dist.destroy_process_group() if torch.cuda.device_count() > 1 else None dist.destroy_process_group() if torch.cuda.device_count() > 1 else None
@ -377,6 +379,7 @@ if __name__ == '__main__':
parser.add_argument('--weights', type=str, default='', help='initial weights') # i.e. weights/darknet.53.conv.74 parser.add_argument('--weights', type=str, default='', help='initial weights') # i.e. weights/darknet.53.conv.74
parser.add_argument('--arc', type=str, default='defaultpw', help='yolo architecture') # defaultpw, uCE, uBCE parser.add_argument('--arc', type=str, default='defaultpw', help='yolo architecture') # defaultpw, uCE, uBCE
parser.add_argument('--prebias', action='store_true', help='transfer-learn yolo biases prior to training') parser.add_argument('--prebias', action='store_true', help='transfer-learn yolo biases prior to training')
parser.add_argument('--name', default='', help='renames results.txt to results_name.txt if supplied')
parser.add_argument('--var', type=float, help='debug variable') parser.add_argument('--var', type=float, help='debug variable')
opt = parser.parse_args() opt = parser.parse_args()
opt.weights = 'weights/last.pt' if opt.resume else opt.weights opt.weights = 'weights/last.pt' if opt.resume else opt.weights