ultralytics 8.0.32 HUB and TensorFlow fixes (#870)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/yolo/v8/detect/train.py

@@ -41,7 +41,7 @@ class DetectionTrainer(BaseTrainer):
                                  shuffle=mode == "train",
                                  seed=self.args.seed)[0] if self.args.v5loader else \
             build_dataloader(self.args, batch_size, img_path=dataset_path, stride=gs, rank=rank, mode=mode,
-                             rect=mode == "val")[0]
+                             rect=mode == "val", names=self.data['names'])[0]
 
     def preprocess_batch(self, batch):
         batch["img"] = batch["img"].to(self.device, non_blocking=True).float() / 255

ultralytics/yolo/v8/detect/val.py

@@ -176,7 +176,8 @@ class DetectionValidator(BaseValidator):
                                  prefix=colorstr(f'{self.args.mode}: '),
                                  shuffle=False,
                                  seed=self.args.seed)[0] if self.args.v5loader else \
-            build_dataloader(self.args, batch_size, img_path=dataset_path, stride=gs, mode="val")[0]
+            build_dataloader(self.args, batch_size, img_path=dataset_path, stride=gs, names=self.data['names'],
+                             mode="val")[0]
 
     def plot_val_samples(self, batch, ni):
         plot_images(batch["img"],