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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-05-21 17:39:04 +02:00
parent 19c7697434
commit 463dc56f31
1 changed files with 3 additions and 3 deletions
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6
train.py
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@ -76,7 +76,7 @@ def train(
if multi_scale:
img_size = round((img_size / 32) * 1.5) * 32 # initiate with maximum multi_scale size
opt.num_workers = 0 # bug https://github.com/ultralytics/yolov3/issues/174
# opt.num_workers = 0 # bug https://github.com/ultralytics/yolov3/issues/174
else:
torch.backends.cudnn.benchmark = True # unsuitable for multiscale
@ -308,9 +308,9 @@ if __name__ == '__main__':
parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
parser.add_argument('--accumulate', type=int, default=1, help='accumulate gradient x batches before optimizing')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
parser.add_argument('--data-cfg', type=str, default='data/coco.data', help='coco.data file path')
parser.add_argument('--data-cfg', type=str, default='data/coco_32img.data', help='coco.data file path')
parser.add_argument('--multi-scale', action='store_true', help='random image sizes per batch 320 - 608')
parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
parser.add_argument('--img-size', type=int, default=320, help='inference size (pixels)')
parser.add_argument('--resume', action='store_true', help='resume training flag')
parser.add_argument('--transfer', action='store_true', help='transfer learning flag')
parser.add_argument('--num-workers', type=int, default=4, help='number of Pytorch DataLoader workers')