Remove opt from create_dataloader()` (#3552)

utils/datasets.py

@@ -62,8 +62,8 @@ def exif_size(img):
     return s
 
 
-def create_dataloader(path, imgsz, batch_size, stride, opt, hyp=None, augment=False, cache=False, pad=0.0, rect=False,
-                      rank=-1, world_size=1, workers=8, image_weights=False, quad=False, prefix=''):
+def create_dataloader(path, imgsz, batch_size, stride, single_cls=False, hyp=None, augment=False, cache=False, pad=0.0,
+                      rect=False, rank=-1, world_size=1, workers=8, image_weights=False, quad=False, prefix=''):
     # Make sure only the first process in DDP process the dataset first, and the following others can use the cache
     with torch_distributed_zero_first(rank):
         dataset = LoadImagesAndLabels(path, imgsz, batch_size,
@@ -71,7 +71,7 @@ def create_dataloader(path, imgsz, batch_size, stride, opt, hyp=None, augment=Fa
                                       hyp=hyp,  # augmentation hyperparameters
                                       rect=rect,  # rectangular training
                                       cache_images=cache,
-                                      single_cls=opt.single_cls,
+                                      single_cls=single_cls,
                                       stride=int(stride),
                                       pad=pad,
                                       image_weights=image_weights,