30 lines
1.6 KiB
Python
30 lines
1.6 KiB
Python
import os,argparse,torch
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from System_I import Detection_Y5
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from tqdm import tqdm
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if __name__ == '__main__':
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parser1 = argparse.ArgumentParser(description="AILabel")
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parser1.add_argument("--RawPath", default='/data/DataManagement/Project/001_cuihu/0012_20220517_RTSP/imagesAILabel', type=str,
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help='RawPath.')
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parser1.add_argument("--GPU", default="1", type=str,
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help='GPU.')
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parser1.add_argument("--thresh", default=0.4, type=float,
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help='thresh.')
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parser1.add_argument("--Weight", default="/data/Hatcher/data/Detection_weigth/BJCHKMCH-Bird-1-4/weights/best.pt", type=str,
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help='Weight.')
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args = parser1.parse_args()
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os.environ['CUDA_VISIBLE_DEVICES'] = args.GPU
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devices = torch.device('cuda:{}'.format(str(int(args.GPU))) if torch.cuda.is_available() else 'cpu')
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if not os.path.exists(args.RawPath.replace("imagesAILabel","NoResult")):
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os.makedirs(args.RawPath.replace("imagesAILabel","NoResult"))
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if not os.path.exists(args.RawPath.replace("imagesAILabel","YesResult")):
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os.makedirs(args.RawPath.replace("imagesAILabel","YesResult"))
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if not os.path.exists(args.RawPath.replace("imagesAILabel","LabelXML")):
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os.makedirs(args.RawPath.replace("imagesAILabel","LabelXML"))
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Detection = Detection_Y5(device=devices,root=" ", detect_thresh=args.thresh,DetWeight=args.Weight)
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imagepaths = os.listdir(args.RawPath)
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for imagepath in tqdm(imagepaths):
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imagepath = os.path.join(args.RawPath,imagepath)
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Detection.AIlabel(imagepath) |