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(py36pandet) [root....... PANet-master]# python tools/infer_simple.py --dataset coco --cfg configs/panet/e2e_panet_R-50-FPN_2x_mask.yaml --load_ckpt data/pretrained_model/panet_mask_step179999.pth --images 001.png --output_dir infer_outputs
Called with args:
Namespace(cfg_file='configs/panet/e2e_panet_R-50-FPN_2x_mask.yaml', cuda=True, dataset='coco', image_dir=None, images=['001.png'], load_ckpt='data/pretrained_model/panet_mask_step179999.pth', load_detectron=None, merge_pdfs=True, output_dir='infer_outputs', set_cfgs=[])
load cfg from file: configs/panet/e2e_panet_R-50-FPN_2x_mask.yaml
loading checkpoint data/pretrained_model/panet_mask_step179999.pth
.....(Here's how it works, showing the class name and confidence)
The generated test results, however, were poor and barely handled, and I might need some guidance 001.pdf
The text was updated successfully, but these errors were encountered:
(py36pandet) [root....... PANet-master]# python tools/infer_simple.py --dataset coco --cfg configs/panet/e2e_panet_R-50-FPN_2x_mask.yaml --load_ckpt data/pretrained_model/panet_mask_step179999.pth --images 001.png --output_dir infer_outputs
Called with args:
Namespace(cfg_file='configs/panet/e2e_panet_R-50-FPN_2x_mask.yaml', cuda=True, dataset='coco', image_dir=None, images=['001.png'], load_ckpt='data/pretrained_model/panet_mask_step179999.pth', load_detectron=None, merge_pdfs=True, output_dir='infer_outputs', set_cfgs=[])
load cfg from file: configs/panet/e2e_panet_R-50-FPN_2x_mask.yaml
loading checkpoint data/pretrained_model/panet_mask_step179999.pth
.....(Here's how it works, showing the class name and confidence)
The generated test results, however, were poor and barely handled, and I might need some guidance
001.pdf
The text was updated successfully, but these errors were encountered: