fix for predicting with batch_size > 1 (#47)

* fix for predicting with batch_size > 1

ultralytics/models/yolov10/predict.py

@@ -11,7 +11,7 @@ def postprocess(self, preds, img, orig_imgs):
 
         if isinstance(preds, (list, tuple)):
             preds = preds[0]
-        
+
         if preds.shape[-1] == 6:
             pass
         else:
@@ -22,9 +22,7 @@ def postprocess(self, preds, img, orig_imgs):
 
         mask = preds[..., 4] > self.args.conf
 
-        b, _, c = preds.shape
-        preds = preds.view(-1, preds.shape[-1])[mask.view(-1)]
-        preds = preds.view(b, -1, c)
+        preds = [p[mask[idx]] for idx, p in enumerate(preds)]
 
         if not isinstance(orig_imgs, list):  # input images are a torch.Tensor, not a list
             orig_imgs = ops.convert_torch2numpy_batch(orig_imgs)