fix torch.isin(..) call

yoeo/utils/utils.py

@@ -437,6 +437,8 @@ def non_max_suppression(prediction, conf_thres=0.25, iou_thres=0.45, classes=Non
 
     t = time.time()
     output = [torch.zeros((0, 6), device="cpu")] * prediction.shape[0]
+    if robot_class_ids:
+        robot_class_ids = torch.tensor(robot_class_ids, device=prediction.device, dtype=prediction.dtype)
 
     for xi, x in enumerate(prediction):  # image index, image inference
         # Apply constraints
@@ -474,7 +476,7 @@ def non_max_suppression(prediction, conf_thres=0.25, iou_thres=0.45, classes=Non
             x = x[x[:, 4].argsort(descending=True)[:max_nms]]
 
         # Batched NMS
-        if not robot_class_ids:
+        if robot_class_ids is None:
             c = x[:, 5:6] * max_wh  # classes
         else:
             # If multiple robot classes are present, all robot classes are treated as one class in order to perform