Add CLI tool for exporting ONNX models

[runrunrun1994]

Signed-off-by: runrunrun1994 runrunrun1994@163.com

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  Coverage   96.16%   96.16%           
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[itsnine]

@zhiqwang @runrunrun1994 hello, it probably would be good if you add a feature for exporting onnx custom models, not only pretrained on coco dataset. I guess you should add something like torch.load_state_dict. What do you think?

[zhiqwang]

@zhiqwang @runrunrun1994 hello, it probably would be good if you add a feature for exporting onnx custom models, not only pretrained on coco dataset. I guess you should add something like torch.load_state_dict. What do you think?

Hi @itsnine @runrunrun1994 , This proposal is very good, because the trainer of yolort is still in the experimental stage, we have recently added a new interface to directly load yolov5 trained models #167, we can use this interface to implement this feature you mentioned.

from yolort.models import yolov5s

# the following 'yolov5s.pt' is downloaded from https://github.com/ultralytics/yolov5/releases/download/v4.0/yolov5s.pt
args.checkpoint_path = 'yolov5s.pt'
model = yolov5s(num_classes=args.num_classes, score_thresh=args.score_thresh, ...)
model.load_from_yolov5(args.checkpoint_path)
model.eval()

img_path = 'test/assets/bus.jpg'
results = model.predict(img_path)

[zhiqwang]

Hi @runrunrun1994 , Thanks for your contributions here. I left some comments, let me know your thoughts about these.