add yolo v10 and modify pipeline

models/experimental.py

@@ -76,7 +76,11 @@ def attempt_load(weights, device=None, inplace=True, fuse=True):
 
     model = Ensemble()
     for w in weights if isinstance(weights, list) else [weights]:
-        ckpt = torch.load(attempt_download(w), map_location=device, weights_only=False)  # load
+        if torch.__version__ >= '2.6':
+            ckpt = torch.load(attempt_download(w), map_location=device, weights_only=False)  # load
+        else:
+            ckpt = torch.load(attempt_download(w), map_location=device)
+            
         ckpt = (ckpt.get('ema') or ckpt['model']).to(device).float()  # FP32 model
 
         # Model compatibility updates