code-rev-doc-file-enc-read

utils_cv/classification/widget.py

@@ -70,7 +70,7 @@ class AnnotationWidget(object):
                 )
         if os.path.exists(self.anno_path):
             print(f"Loading existing annotation from {self.anno_path}.")
-            with open(self.anno_path, "r") as f:
+            with open(self.anno_path, encoding='utf_8') as f:
                 for line in f.readlines()[1:]:
                     vec = line.strip().split("\t")
                     im_filename = vec[0]

utils_cv/tracking/references/fairmot/datasets/dataset/jde.py

@@ -132,7 +132,7 @@ class LoadVideo:  # for inference
 
 class LoadImagesAndLabels:  # for training
     def __init__(self, path, img_size=(1088, 608), augment=False, transforms=None):
-        with open(path, 'r') as file:
+        with open(path, encoding='utf_8') as file:
             self.img_files = file.readlines()
             self.img_files = [x.replace('\n', '') for x in self.img_files]
             self.img_files = list(filter(lambda x: len(x) > 0, self.img_files))
@@ -361,7 +361,7 @@ class JointDataset(LoadImagesAndLabels):  # for training
         self.num_classes = 1
 
         for ds, path in paths.items():
-            with open(path, 'r') as file:
+            with open(path, encoding='utf_8') as file:
                 self.img_files[ds] = file.readlines()
                 self.img_files[ds] = [osp.join(root, x.strip()) for x in self.img_files[ds]]
                 self.img_files[ds] = list(filter(lambda x: len(x) > 0, self.img_files[ds]))
@@ -472,7 +472,7 @@ class DetDataset(LoadImagesAndLabels):  # for training
         self.tid_num = OrderedDict()
         self.tid_start_index = OrderedDict()
         for ds, path in paths.items():
-            with open(path, 'r') as file:
+            with open(path, encoding='utf_8') as file:
                 self.img_files[ds] = file.readlines()
                 self.img_files[ds] = [osp.join(root, x.strip()) for x in self.img_files[ds]]
                 self.img_files[ds] = list(filter(lambda x: len(x) > 0, self.img_files[ds]))

utils_cv/tracking/references/fairmot/tracking_utils/io.py

@@ -66,7 +66,7 @@ def read_mot_results(filename, is_gt, is_ignore):
     ignore_labels = {2, 7, 8, 12}
     results_dict = dict()
     if os.path.isfile(filename):        
-        with open(filename, 'r') as f:            
+        with open(filename, encoding='utf_8') as f:            
             for line in f.readlines():                
                 linelist = line.split(',')                
                 if len(linelist) < 7:                   

utils_cv/tracking/references/fairmot/tracking_utils/parse_config.py

@@ -1,20 +1,20 @@
 def parse_model_cfg(path):
     """Parses the yolo-v3 layer configuration file and returns module definitions"""
-    file = open(path, 'r')
-    lines = file.read().split('\n')
-    lines = [x for x in lines if x and not x.startswith('#')]
-    lines = [x.rstrip().lstrip() for x in lines]  # get rid of fringe whitespaces
-    module_defs = []
-    for line in lines:
-        if line.startswith('['):  # This marks the start of a new block
-            module_defs.append({})
-            module_defs[-1]['type'] = line[1:-1].rstrip()
-            if module_defs[-1]['type'] == 'convolutional':
-                module_defs[-1]['batch_normalize'] = 0
-        else:
-            key, value = line.split("=")
-            value = value.strip()
-            module_defs[-1][key.rstrip()] = value.strip()
+    with open(path, encoding='utf_8') as file:
+        lines = file.read().split('\n')
+        lines = [x for x in lines if x and not x.startswith('#')]
+        lines = [x.rstrip().lstrip() for x in lines]  # get rid of fringe whitespaces
+        module_defs = []
+        for line in lines:
+            if line.startswith('['):  # This marks the start of a new block
+                module_defs.append({})
+                module_defs[-1]['type'] = line[1:-1].rstrip()
+                if module_defs[-1]['type'] == 'convolutional':
+                    module_defs[-1]['batch_normalize'] = 0
+            else:
+                key, value = line.split("=")
+                value = value.strip()
+                module_defs[-1][key.rstrip()] = value.strip()
 
     return module_defs
 
@@ -24,7 +24,7 @@ def parse_data_cfg(path):
     options = dict()
     options['gpus'] = '0'
     options['num_workers'] = '10'
-    with open(path, 'r') as fp:
+    with open(path, encoding='utf_8') as fp:
         lines = fp.readlines()
     for line in lines:
         line = line.strip()