Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-07-10 20:47:05 +02:00
parent a9e42a16f1
commit 4f6ef59d92
1 changed files with 2 additions and 2 deletions
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4
train.py
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@ -40,7 +40,7 @@ def train(
latest = weights + 'latest.pt'
best = weights + 'best.pt'
device = torch_utils.select_device()
multi_scale = not opt.single_scale
multi_scale = opt.multi_scale
if multi_scale:
img_size_min = round(img_size / 32 / 1.5)
@ -306,7 +306,7 @@ if __name__ == '__main__':
parser.add_argument('--accumulate', type=int, default=4, help='number of batches to accumulate 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_64img.data', help='coco.data file path')
parser.add_argument('--single-scale', action='store_true', help='train at fixed size (no multi-scale)')
parser.add_argument('--multi-scale', action='store_true', help='train at (1/1.5)x - 1.5x sizes')
parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
parser.add_argument('--rect', action='store_true', help='rectangular training')
parser.add_argument('--resume', action='store_true', help='resume training flag')