AI Label

DetectionAILAbel.py

@@ -0,0 +1,30 @@
+import  os,argparse,torch
+from System_I import Detection_Y5
+from  tqdm import tqdm
+
+
+
+if __name__ == '__main__':
+    parser1 = argparse.ArgumentParser(description="AILabel")
+    parser1.add_argument("--RawPath", default='/data/DataManagement/Project/001_cuihu/0012_20220517_RTSP/imagesAILabel', type=str,
+                        help='RawPath.')
+    parser1.add_argument("--GPU", default="1", type=str,
+                        help='GPU.')
+    parser1.add_argument("--thresh", default=0.4, type=float,
+                        help='thresh.')
+    parser1.add_argument("--Weight", default="/data/Hatcher/data/Detection_weigth/BJCHKMCH-Bird-1-4/weights/best.pt", type=str,
+                        help='Weight.')
+    args = parser1.parse_args()
+    os.environ['CUDA_VISIBLE_DEVICES'] = args.GPU
+    devices = torch.device('cuda:{}'.format(str(int(args.GPU))) if torch.cuda.is_available() else 'cpu')
+    if not os.path.exists(args.RawPath.replace("imagesAILabel","NoResult")):
+        os.makedirs(args.RawPath.replace("imagesAILabel","NoResult"))
+    if not os.path.exists(args.RawPath.replace("imagesAILabel","YesResult")):
+        os.makedirs(args.RawPath.replace("imagesAILabel","YesResult"))
+    if not os.path.exists(args.RawPath.replace("imagesAILabel","LabelXML")):
+        os.makedirs(args.RawPath.replace("imagesAILabel","LabelXML"))
+    Detection = Detection_Y5(device=devices,root=" ", detect_thresh=args.thresh,DetWeight=args.Weight)
+    imagepaths = os.listdir(args.RawPath)
+    for imagepath in tqdm(imagepaths):
+        imagepath = os.path.join(args.RawPath,imagepath)
+        Detection.AIlabel(imagepath)