10 examples of 'python read video frames' in Python

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def read(self):
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    if not self.is_ok:
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        raise RuntimeError("Error opening video stream or file")
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    self.is_ok, frame = self.cap.read()
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    return self.is_ok, frame

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def read(self):
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    src_img = pyMTF2.getFrame()
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    if src_img is None:
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        print('Frame extraction was unsuccessful')
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        return 0, None
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    return 1, src_img

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def get_frames(video_path, number_of_frames=1):
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    video_feed = cv2.VideoCapture(video_path)
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    frames = []
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    ret = True
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    for i in range(number_of_frames):
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        ret, frame = video_feed.read()
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        if ret:
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            frames.append(frame)
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    video_feed.release()
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    return frames

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def captureFrame(self):
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    """
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    capture frame and return captured frame
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    """
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    ret, readFrame = self.capture.read()
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    return readFrame

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def getframe(self):  # returns tuple --> ret, frame
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    return self.data.read()

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def video_frames(filename):
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    """Yield frames in a video."""
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    cap = cv2.VideoCapture(args.video)
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    while True:
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        ret, frame = cap.read()
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        if ret:
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            yield frame
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        else:
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            break
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    cap.release()

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def extract_frames(video_path):
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    def convert_frame(arg):
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        return Image.fromarray(arg[:, :, :3], mode='RGB')
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    video_reader = imageio.get_reader(video_path)
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    fps = video_reader.get_meta_data().get('fps', None)
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    frames = [convert_frame(x) for x in video_reader]
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    return frames, fps

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def test_nvdec_read_frame(video_filename, first_frame_image):
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    backend = NvdecBackend()
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    inst = backend.create(video_filename, 'cuda:0')
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    rgb = inst.read_frame()
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    assert(rgb.size() == (3, 720, 1280))
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    rgb_bytes = (rgb * 255).round_().byte().cpu()
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    img = PIL.Image.fromarray(rgb_bytes.permute(1, 2, 0).numpy(), 'RGB')
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    np.testing.assert_allclose(img, first_frame_image, rtol=0, atol=50)

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def load_video():
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    manager_cv2 = ManagerCV2(cv2.VideoCapture('walking.mp4'), is_stream=False, fps_limit=3)
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    manager_cv2.add_keystroke(27, 1, print, 'Pressed esc. Exiting', exit=True)
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    storage_cv2 = StorageCV2(path='salida.json')
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    for frame, selector in zip(manager_cv2,storage_cv2):
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        frame = cv2.flip(frame, 1)
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        frame = selector.draw(frame)
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        cv2.imshow('Example face_recognition', frame)
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    print('FPS: {}'.format(manager_cv2.get_fps()))
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    cv2.destroyAllWindows()

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def frames_to_video(self, frames, fps):
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    logging.info('Combining frames')
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    fourcc = cv2.VideoWriter_fourcc('D', 'I', 'V', 'X')
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    resolution = frames[0].shape[:2][::-1]
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    out = cv2.VideoWriter(self.__path_out, fourcc, fps, resolution)
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    for frame in frames:
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       out.write(frame)
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    out.release()