【BUG】Video example code is not working...

[andersprenger]

• face_recognition version: 1.3.0
• Python version: 3.9.16
• Operating System: Rocky Linux 9.2 (Blue Onyx) x86_64

Description

The example facerec_from_video_file.py is not running.

Here's the the terminal output...

$ /bin/python /home/ander/face_recognition/examples/facerec_from_video_file.py
Traceback (most recent call last):
  File "/home/ander/face_recognition/examples/facerec_from_video_file.py", line 50, in <module>
    face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)
  File "/home/ander/.local/lib/python3.9/site-packages/face_recognition/api.py", line 214, in face_encodings
    return [np.array(face_encoder.compute_face_descriptor(face_image, raw_landmark_set, num_jitters)) for raw_landmark_set in raw_landmarks]
  File "/home/ander/.local/lib/python3.9/site-packages/face_recognition/api.py", line 214, in <listcomp>
    return [np.array(face_encoder.compute_face_descriptor(face_image, raw_landmark_set, num_jitters)) for raw_landmark_set in raw_landmarks]
TypeError: compute_face_descriptor(): incompatible function arguments. The following argument types are supported:
    1. (self: _dlib_pybind11.face_recognition_model_v1, img: numpy.ndarray[(rows,cols,3),numpy.uint8], face: _dlib_pybind11.full_object_detection, num_jitters: int = 0, padding: float = 0.25) -> _dlib_pybind11.vector
    2. (self: _dlib_pybind11.face_recognition_model_v1, img: numpy.ndarray[(rows,cols,3),numpy.uint8], num_jitters: int = 0) -> _dlib_pybind11.vector
    3. (self: _dlib_pybind11.face_recognition_model_v1, img: numpy.ndarray[(rows,cols,3),numpy.uint8], faces: _dlib_pybind11.full_object_detections, num_jitters: int = 0, padding: float = 0.25) -> _dlib_pybind11.vectors
    4. (self: _dlib_pybind11.face_recognition_model_v1, batch_img: List[numpy.ndarray[(rows,cols,3),numpy.uint8]], batch_faces: List[_dlib_pybind11.full_object_detections], num_jitters: int = 0, padding: float = 0.25) -> _dlib_pybind11.vectorss
    5. (self: _dlib_pybind11.face_recognition_model_v1, batch_img: List[numpy.ndarray[(rows,cols,3),numpy.uint8]], num_jitters: int = 0) -> _dlib_pybind11.vectors

Invoked with: <_dlib_pybind11.face_recognition_model_v1 object at 0x7f8bc98bb2b0>, array([[[ 8,  3,  0],
        [12,  7,  4],
        [18, 13, 10],
        ...,
        [24,  9,  0],
        [24,  9,  0],
        [24,  9,  0]],

       [[ 8,  3,  0],
        [12,  7,  4],
        [18, 13, 10],
        ...,
        [24,  9,  0],
        [24,  9,  0],
        [24,  9,  0]],

       [[ 7,  2,  0],
        [11,  6,  3],
        [16, 11,  8],
        ...,
        [24,  9,  0],
        [24,  9,  0],
        [24,  9,  0]],

       ...,

       [[ 7,  3,  0],
        [ 7,  3,  0],
        [ 9,  3,  0],
        ...,
        [17,  1,  0],
        [11,  1,  2],
        [11,  1,  2]],

       [[ 7,  3,  0],
        [ 7,  3,  0],
        [ 9,  3,  0],
        ...,
        [17,  2,  0],
        [11,  1,  0],
        [11,  1,  0]],

       [[ 7,  3,  0],
        [ 7,  3,  0],
        [ 9,  3,  0],
        ...,
        [17,  2,  0],
        [11,  1,  0],
        [11,  1,  0]]], dtype=uint8), <_dlib_pybind11.full_object_detection object at 0x7f8ba3186e70>, 1

What I Did

git clone https://github.com/ageitgey/face_recognition.git
cd face_recognition/examples
python facerec_from_video_file.py

[andersprenger]

I saw a PR #1498 with the following fix:

    # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
    rgb_frame = frame[:, :, ::-1]

    code = cv2.COLOR_BGR2RGB
    rgb_frame = cv2.cvtColor(rgb_frame, code)

It seems to fix this issue. I'll let it open to the community see the fix and also for any further discussion.

[Biiddd]

me 2, I was using the webcam example, same problem