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Update ClassificationModel default training imgsz=224 #9469

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Sep 18, 2022
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Update ClassificationModel default training imgsz=224 #9469

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4 changes: 2 additions & 2 deletions classify/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
Train a YOLOv5 classifier model on a classification dataset

Usage - Single-GPU training:
$ python classify/train.py --model yolov5s-cls.pt --data imagenette160 --epochs 5 --img 128
$ python classify/train.py --model yolov5s-cls.pt --data imagenette160 --epochs 5 --img 224

Usage - Multi-GPU DDP training:
$ python -m torch.distributed.run --nproc_per_node 4 --master_port 1 classify/train.py --model yolov5s-cls.pt --data imagenet --epochs 5 --img 224 --device 0,1,2,3
Expand Down Expand Up @@ -272,7 +272,7 @@ def parse_opt(known=False):
parser.add_argument('--data', type=str, default='imagenette160', help='cifar10, cifar100, mnist, imagenet, ...')
parser.add_argument('--epochs', type=int, default=10, help='total training epochs')
parser.add_argument('--batch-size', type=int, default=64, help='total batch size for all GPUs')
parser.add_argument('--imgsz', '--img', '--img-size', type=int, default=128, help='train, val image size (pixels)')
parser.add_argument('--imgsz', '--img', '--img-size', type=int, default=224, help='train, val image size (pixels)')
parser.add_argument('--nosave', action='store_true', help='only save final checkpoint')
parser.add_argument('--cache', type=str, nargs='?', const='ram', help='--cache images in "ram" (default) or "disk"')
parser.add_argument('--device', default='', help='cuda device, i.e. 0 or 0,1,2,3 or cpu')
Expand Down