fix linter errors

deepface/detectors/YunetWrapper.py

@@ -6,10 +6,8 @@
 
 
 def build_model():
- url = (
- "https://github.com/opencv/opencv_zoo/raw/main/models/"
- + "face_detection_yunet/face_detection_yunet_2023mar.onnx"
- )
+ # pylint: disable=C0301
+ url = "https://github.com/opencv/opencv_zoo/raw/main/models/face_detection_yunet/face_detection_yunet_2023mar.onnx"
  file_name = "face_detection_yunet_2023mar.onnx"
  home = functions.get_deepface_home()
  if os.path.isfile(home + f"/.deepface/weights/{file_name}") is False:
@@ -44,9 +42,10 @@ def detect_face(detector, image, align=True, score_threshold=0.9):
  if faces is None:
  return resp
  for face in faces:
+ # pylint: disable=W0105
  """
  The detection output faces is a two-dimension array of type CV_32F,
- whose rows are the detected face instances, columns are the location 
+ whose rows are the detected face instances, columns are the location
  of a face and 5 facial landmarks.
  The format of each row is as follows:
  x1, y1, w, h, x_re, y_re, x_le, y_le, x_nt, y_nt,
@@ -58,7 +57,7 @@ def detect_face(detector, image, align=True, score_threshold=0.9):
  """
  (x, y, w, h, x_re, y_re, x_le, y_le) = list(map(int, face[:8]))
 
- # Yunet returns negative coordinates if it thinks part of 
+ # Yunet returns negative coordinates if it thinks part of
  # the detected face is outside the frame.
  # We set the coordinate to 0 if they are negative.
  x = max(x, 0)