Remove `encoding='ascii'` (#4413)

* Remove `encoding='ascii'`

* Reinstate `encoding='ascii'` in emojis()

utils/autoanchor.py

@@ -104,7 +104,7 @@ def kmean_anchors(dataset='./data/coco128.yaml', n=9, img_size=640, thr=4.0, gen
         return k
 
     if isinstance(dataset, str):  # *.yaml file
-        with open(dataset, encoding='ascii', errors='ignore') as f:
+        with open(dataset, errors='ignore') as f:
             data_dict = yaml.safe_load(f)  # model dict
         from utils.datasets import LoadImagesAndLabels
         dataset = LoadImagesAndLabels(data_dict['train'], augment=True, rect=True)

utils/datasets.py

@@ -931,7 +931,7 @@ def dataset_stats(path='coco128.yaml', autodownload=False, verbose=False, profil
         im.save(im_dir / Path(f).name, quality=75)  # save
 
     zipped, data_dir, yaml_path = unzip(Path(path))
-    with open(check_file(yaml_path), encoding='ascii', errors='ignore') as f:
+    with open(check_file(yaml_path), errors='ignore') as f:
         data = yaml.safe_load(f)  # data dict
         if zipped:
             data['path'] = data_dir  # TODO: should this be dir.resolve()?

utils/general.py

@@ -112,7 +112,7 @@ def is_pip():
 
 def emojis(str=''):
     # Return platform-dependent emoji-safe version of string
-    return str.encode().decode('ascii', 'ignore') if platform.system() == 'Windows' else str
+    return str.encode().decode(encoding='ascii', errors='ignore') if platform.system() == 'Windows' else str
 
 
 def file_size(file):
@@ -250,7 +250,7 @@ def check_dataset(data, autodownload=True):
 
     # Read yaml (optional)
     if isinstance(data, (str, Path)):
-        with open(data, encoding='ascii', errors='ignore') as f:
+        with open(data, errors='ignore') as f:
             data = yaml.safe_load(f)  # dictionary
 
     # Parse yaml

utils/loggers/wandb/wandb_utils.py

@@ -62,7 +62,7 @@ def check_wandb_resume(opt):
 
 
 def process_wandb_config_ddp_mode(opt):
-    with open(check_file(opt.data), encoding='ascii', errors='ignore') as f:
+    with open(check_file(opt.data), errors='ignore') as f:
         data_dict = yaml.safe_load(f)  # data dict
     train_dir, val_dir = None, None
     if isinstance(data_dict['train'], str) and data_dict['train'].startswith(WANDB_ARTIFACT_PREFIX):
@@ -152,7 +152,7 @@ class WandbLogger():
                         self.wandb_artifact_data_dict = self.check_and_upload_dataset(opt)
 
                     elif opt.data.endswith('_wandb.yaml'):  # When dataset is W&B artifact
-                        with open(opt.data, encoding='ascii', errors='ignore') as f:
+                        with open(opt.data, errors='ignore') as f:
                             data_dict = yaml.safe_load(f)
                         self.data_dict = data_dict
                     else:  # Local .yaml dataset file or .zip file
@@ -186,7 +186,7 @@ class WandbLogger():
                                                 opt.single_cls,
                                                 'YOLOv5' if opt.project == 'runs/train' else Path(opt.project).stem)
         print("Created dataset config file ", config_path)
-        with open(config_path, encoding='ascii', errors='ignore') as f:
+        with open(config_path, errors='ignore') as f:
             wandb_data_dict = yaml.safe_load(f)
         return wandb_data_dict