ultralytics / yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Names of arguments in training #3660

Closed tetelevm closed 3 years ago

tetelevm commented 3 years ago

❔Question

Hello! In your wiki you give example:

python train.py --img 640 --batch 16 --epochs 5 --data coco128.yaml --weights yolov5s.pt

The file train.py contains the lines:

parser.add_argument('--batch-size', type=int, default=16, help='total batch size for all GPUs')
parser.add_argument('--img-size', nargs='+', type=int, default=[504, 378], help='[train, test] image sizes')

Can it be a mistake to name the arguments differently?

github-actions[bot] commented 3 years ago

👋 Hello @tetelevm, thank you for your interest in 🚀 YOLOv5! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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glenn-jocher commented 3 years ago

@tetelevm this is correct. The python argparser package can accept shorter arguments if they don't create ambiguities.