Python cv2.CAP_PROP_FPS Examples

def clahe(filename):
    os.chdir(os.path.dirname(filename))
    print('Applying CLAHE, this might take awhile...')

    currentVideo = os.path.basename(filename)
    fileName, fileEnding = currentVideo.split('.',2)
    saveName = str('CLAHE_') + str(fileName) + str('.avi')
    cap = cv2.VideoCapture(currentVideo)
    imageWidth = int(cap.get(3))
    imageHeight = int(cap.get(4))
    fps = cap.get(cv2.CAP_PROP_FPS)
    fourcc = cv2.VideoWriter_fourcc(*'XVID')
    out = cv2.VideoWriter(saveName, fourcc, fps, (imageWidth, imageHeight), 0)
    try:
        while True:
            ret, image = cap.read()
            if ret == True:
                im = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
                claheFilter = cv2.createCLAHE(clipLimit=2, tileGridSize=(16, 16))
                claheCorrecttedFrame = claheFilter.apply(im)
                out.write(claheCorrecttedFrame)
                if cv2.waitKey(10) & 0xFF == ord('q'):
                    break
            else:
                print(str('Completed video ') + str(saveName))
                break
    except:
        print('clahe not applied')
    cap.release()
    out.release()
    cv2.destroyAllWindows()
    return saveName 

def detect_video(yolo, video_path, output_path=""):
    import cv2
    vid = cv2.VideoCapture(video_path)
    if not vid.isOpened():
        raise IOError("Couldn't open webcam or video")
    video_FourCC    = int(vid.get(cv2.CAP_PROP_FOURCC))
    video_fps       = vid.get(cv2.CAP_PROP_FPS)
    video_size      = (int(vid.get(cv2.CAP_PROP_FRAME_WIDTH)),
                        int(vid.get(cv2.CAP_PROP_FRAME_HEIGHT)))
    isOutput = True if output_path != "" else False
    if isOutput:
        print("!!! TYPE:", type(output_path), type(video_FourCC), type(video_fps), type(video_size))
        out = cv2.VideoWriter(output_path, video_FourCC, video_fps, video_size)
    accum_time = 0
    curr_fps = 0
    fps = "FPS: ??"
    prev_time = timer()
    while True:
        return_value, frame = vid.read()
        image = Image.fromarray(frame)
        image = yolo.detect_image(image)
        result = np.asarray(image)
        curr_time = timer()
        exec_time = curr_time - prev_time
        prev_time = curr_time
        accum_time = accum_time + exec_time
        curr_fps = curr_fps + 1
        if accum_time > 1:
            accum_time = accum_time - 1
            fps = "FPS: " + str(curr_fps)
            curr_fps = 0
        cv2.putText(result, text=fps, org=(3, 15), fontFace=cv2.FONT_HERSHEY_SIMPLEX,
                    fontScale=0.50, color=(255, 0, 0), thickness=2)
        cv2.namedWindow("result", cv2.WINDOW_NORMAL)
        cv2.imshow("result", result)
        if isOutput:
            out.write(result)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    yolo.close_session() 

def extract_allframescommand(filename):
    if filename:

        pathDir = str(filename[:-4])
        if not os.path.exists(pathDir):
            os.makedirs(pathDir)

        picFname = '%d.png'

        saveDirFilenames = os.path.join(pathDir, picFname)
        print(saveDirFilenames)

        fname = str(filename)
        cap = cv2.VideoCapture(fname)
        fps = cap.get(cv2.CAP_PROP_FPS)
        amount_of_frames = cap.get(7)
        print('The number of frames in this video = ',amount_of_frames)
        print('Extracting frames... (Might take awhile)')
        command = str('ffmpeg -i ' +'"'+ str(fname)+'"' + ' ' + '-q:v 1' + ' ' + '-start_number 0' + ' '+'"'+ str(saveDirFilenames)+'"')
        print(command)
        subprocess.call(command, shell=True)
        print('All frames are extracted!')
    else:
        print('Please select a video to convert') 

def test_input_framerate(c_ffmpeg):
    """
    Testing "-input_framerate" parameter provided by WriteGear(in Compression Mode) 
    """
    stream = cv2.VideoCapture(return_testvideo_path())  # Open stream
    test_video_framerate = stream.get(cv2.CAP_PROP_FPS)
    output_params = {"-input_framerate": test_video_framerate}
    writer = WriteGear(
        output_filename="Output_tif.mp4",
        custom_ffmpeg=c_ffmpeg,
        logging=True,
        **output_params
    )  # Define writer
    while True:
        (grabbed, frame) = stream.read()
        if not grabbed:
            break
        writer.write(frame)
    stream.release()
    writer.close()
    output_video_framerate = getFrameRate(os.path.abspath("Output_tif.mp4"))
    assert test_video_framerate == output_video_framerate
    os.remove(os.path.abspath("Output_tif.mp4")) 

def initialize(self):
        self.capture = cv2.VideoCapture(self.camera)
        if not self.capture.isOpened():
            print("Error opening video camera")
            return

        # cap.set(cv2.CAP_PROP_FPS, 5)
        self.capture.set(cv2.CAP_PROP_FRAME_WIDTH, self.width)
        self.capture.set(cv2.CAP_PROP_FRAME_HEIGHT, self.height)

        if self.record:
            self.videowriter = cv2.VideoWriter(self.filename,
                                                cv2.VideoWriter_fourcc('m', 'p', '4', 'v'),
                                                10,
                                                (self.width, self.height), 
                                                isColor=True) 

def __init__(self, device=None, size=None, fps=None, sync=False):
        self.device = device or 0
        self.size = size or (480, 640)
        fps = fps or 30

        self.cap = cv2.VideoCapture(self.device)
        cap_height, cap_width = self.cap.get(cv2.CAP_PROP_FRAME_HEIGHT), self.cap.get(cv2.CAP_PROP_FRAME_WIDTH)
        if cap_height != self.size[0]:
            self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, self.size[0])
        if cap_width != self.size[1]:
            self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, self.size[1])
        cap_fps = self.cap.get(cv2.CAP_PROP_FPS)
        if cap_fps != fps:
            self.cap.set(cv2.CAP_PROP_FPS, fps)
        if sync:
            raise ValueError("sync not supported") 

def main():
    args = set_args()

    dest = args.destination_path + '.json'

    if os.path.isfile(dest) and not args.force:
        if input("'%s' already exists. Do you want to override it? [y/n]: " % args.destination_path) != 'y':
            print('exiting')
            exit(4)

    file = open(dest, 'w')
    cap = extract_video.get_capture(args.capture_path)

    if cap is None or cap.get(cv2.CAP_PROP_FPS) == 0:
        if extract_video.youtube_url_validation(args.capture_path):
            print("Cannot access video in URL. Please check the URL is a valid YouTube video")
            exit(2)

        print("Cannot access video in file. Please make sure the path to the file is valid")
        exit(3)

    get_data(cap, file, to_float(args.launch_time), args.out, args.destination_path, args.live, args.from_launch) 

def main():
    args = set_args()

    dest = args.destination_path + '.json'

    if os.path.isfile(dest) and not args.force:
        if input("'%s' already exists. Do you want to override it? [y/n]: " % args.destination_path) != 'y':
            print('exiting')
            exit(4)

    file = open(dest, 'w')
    cap = extract_video.get_capture(args.capture_path)

    if cap is None or cap.get(cv2.CAP_PROP_FPS) == 0:
        if extract_video.youtube_url_validation(args.capture_path):
            print("Cannot access video in URL. Please check the URL is a valid YouTube video")
            exit(2)

        print("Cannot access video in file. Please make sure the path to the file is valid")
        exit(3)

    get_data(cap, file, to_float(args.launch_time), args.out, args.destination_path, args.live) 

def skip_from_launch(self, cap, key, time, thresh=None):
        """
        Move the capture to T+time (time can be negative) and returns the frame index.
        :param cap: OpenCV capture
        :param time: delta time from launch to skip to
        :return: index of requested frame
        """        
        if thresh is None:
            thresh = self.extractor.image_dict[key][2]

        number_of_frames = int(cap.get(cv2.CAP_PROP_FPS) * time) + self.search_switch(cap, key, thresh)

        number_of_frames = max(number_of_frames, 0)
        number_of_frames = min(number_of_frames, cap.get(cv2.CAP_PROP_FRAME_COUNT))

        cap.set(cv2.CAP_PROP_POS_FRAMES, number_of_frames)

        return number_of_frames 

def __init__(self, video_source, video_width, video_height, video_fps, queue_size=1):
        self.video_fps = video_fps

        vc = cv2.VideoCapture(video_source)

        if hasattr(cv2, 'cv'):
            vc.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, video_width)
            vc.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, video_height)
            vc.set(cv2.cv.CV_CAP_PROP_FPS, video_fps)
        else:
            vc.set(cv2.CAP_PROP_FRAME_WIDTH, video_width)
            vc.set(cv2.CAP_PROP_FRAME_HEIGHT, video_height)
            vc.set(cv2.CAP_PROP_FPS, video_fps)

        self.stream = vc
        self.stopped = False
        self.queue = Queue(maxsize=queue_size)
        self.thread = Thread(target=self.update, args=())
        self.thread.daemon = True
        self.thread.start() 

def VideoToSequence(path, time):
    video = cv2.VideoCapture(path)
    dir_path = 'frames_tmp'
    os.system("rm -rf %s" % dir_path)
    os.mkdir(dir_path)
    fps = int(video.get(cv2.CAP_PROP_FPS))
    length = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
    print('making ' + str(length) + ' frame sequence in ' + dir_path)
    i = -1
    while (True):
        (grabbed, frame) = video.read()
        if not grabbed:
            break
        i = i + 1
        index = IndexHelper(i*time, len(str(time*length)))
        cv2.imwrite(dir_path + '/' + index + '.png', frame)
        # print(index)
    return [dir_path, length, fps] 

def getInfo(sourcePath):
    cap = cv2.VideoCapture(sourcePath)
    info = {
        "framecount": cap.get(cv2.CAP_PROP_FRAME_COUNT),
        "fps": cap.get(cv2.CAP_PROP_FPS),
        "width": int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)),
        "height": int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)),
        "codec": int(cap.get(cv2.CAP_PROP_FOURCC))
    }
    cap.release()
    return info

#
# Extracts one frame for every second second of video.
# Effectively compresses a video down into much less data.
# 

def generate_dataset(videos_path, framerate, width, height):
    """Converts videos from specified path to ndarrays of shape [numberOfVideos, -1, width, height, 1]

    Args:
        videos_path: Inside the 'videos/' directory, the name of the subdirectory for videos.
        framerate: The desired framerate of the dataset.
        width: The width we will resize the videos to.
        height: The height we will resize the videos to.

    Returns:
        The dataset with the new size and framerate, and converted to monochromatic.

    """
    dataset = []
    video_index = 0
    for playlist in os.listdir('videos/' + videos_path):
        for video_name in os.listdir('videos/{}/{}'.format(videos_path, playlist)):
            dataset.append([])
            print('Video: {}'.format(video_name))
            video = cv2.VideoCapture('videos/{}/{}/{}'.format(videos_path, playlist, video_name))
            while video.isOpened():
                success, frame = video.read()
                if success:
                    frame = preprocess_image(frame, width, height)
                    dataset[video_index].append(frame)

                    frame_index = video.get(cv2.CAP_PROP_POS_FRAMES)
                    video_framerate = video.get(cv2.CAP_PROP_FPS)
                    video.set(cv2.CAP_PROP_POS_FRAMES, frame_index + video_framerate // framerate)
                    last_frame_index = video.get(cv2.CAP_PROP_FRAME_COUNT)
                    if frame_index >= last_frame_index:
                        # Video is over
                        break

                    
                else:
                    break
            dataset[video_index] = np.reshape(dataset[video_index], (-1, width, height, 1))
            video_index += 1
    return dataset 

def load_video(video, all_frames=False):
    cap = cv2.VideoCapture(video)
    fps = cap.get(cv2.CAP_PROP_FPS)
    if fps > 144 or fps is None:
        fps = 25
    frames = []
    count = 0
    while cap.isOpened():
        ret, frame = cap.read()
        if isinstance(frame, np.ndarray):
            if int(count % round(fps)) == 0 or all_frames:
                frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
                frames.append(center_crop(resize_frame(frame, 256), 256))
        else:
            break
        count += 1
    cap.release()
    return np.array(frames) 

def set(self, param, val):
        if param == "exposure":
            self.cam.set(cv2.CAP_PROP_EXPOSURE, val)
        #
        if param == "framerate":
            self.cam.set(cv2.CAP_PROP_FPS, val) 

def __init__(self, src=0, fourcc=None, width=None, height=None, fps=None,
                 transform=None, queue_size=128, name="WebcamVideoCapture"):
        self.cap = cv2.VideoCapture(src)
        if not self.cap.isOpened():
            raise IOError(f"Cannot open video {src}")

        # Set capture properties
        if fourcc:
            self.cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*fourcc))
        if width:
            self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
        if height:
            self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
        if fps:
            self.cap.set(cv2.CAP_PROP_FPS, fps)

        self.transform = transform

        # initialize the queue used to store frames read from the webcam
        self.queue = Queue(maxsize=queue_size)

        # initialize the variable used to indicate if the thread should be stopped
        self.stopped = False

        self.thread = Thread(target=self.update, args=(), name=name)
        self.thread.daemon = True 

def _lower_fps(self, p_args):
        video_name, q = p_args
        # pbar.set_description("Processing %s" % video_name)

        # read a video and create video_writer for lower fps video output
        video = cv2.VideoCapture(os.path.join(self.videos_folder, video_name))
        fps = video.get(cv2.CAP_PROP_FPS)
        size = (int(video.get(cv2.CAP_PROP_FRAME_WIDTH)), int(video.get(cv2.CAP_PROP_FRAME_HEIGHT)))
        # fourcc = cv2.VideoWriter_fourcc(*'XVID')
        fourcc = cv2.VideoWriter_fourcc(*"mp4v")
        video_writer = [cv2.VideoWriter(self.tmp + video_name[:-4] + '_%s' % str(i) + '.mp4',
                                        fourcc,
                                        fps / self.lower_rate,
                                        size)
                        for i in range(self.lower_rate)]

        count = 0
        while video.isOpened():
            ret, frame = video.read()
            if ret:
                video_writer[count % self.lower_rate].write(frame)
                if cv2.waitKey(1) & 0xFF == ord('q'):
                    raise KeyboardInterrupt
            else:
                break
            count += 1

        for i in range(self.lower_rate):
            video_writer[i].release()

        q.put(1) 

def __init__(self, infile=0, fps=15.0):
        self.cam = cv2.VideoCapture(infile)
        self.cam.set(cv2.CAP_PROP_FPS, fps)
        self.cam.set(cv2.CAP_PROP_FRAME_WIDTH, IMAGE_WIDTH)
        self.cam.set(cv2.CAP_PROP_FRAME_HEIGHT, IMAGE_HEIGHT) 

def detect_video(yolo, video_path, output_path=""):
    import cv2
    vid = cv2.VideoCapture(video_path)
    if not vid.isOpened():
        raise IOError("Couldn't open webcam or video")
    video_FourCC    = int(vid.get(cv2.CAP_PROP_FOURCC))
    video_fps       = vid.get(cv2.CAP_PROP_FPS)
    video_size      = (int(vid.get(cv2.CAP_PROP_FRAME_WIDTH)),
                        int(vid.get(cv2.CAP_PROP_FRAME_HEIGHT)))
    isOutput = True if output_path != "" else False
    if isOutput:
        print("!!! TYPE:", type(output_path), type(video_FourCC), type(video_fps), type(video_size))
        out = cv2.VideoWriter(output_path, video_FourCC, video_fps, video_size)
    accum_time = 0
    curr_fps = 0
    fps = "FPS: ??"
    prev_time = timer()
    while True:
        return_value, frame = vid.read()
        image = Image.fromarray(frame)
        image = yolo.detect_image(image)
        result = np.asarray(image)
        curr_time = timer()
        exec_time = curr_time - prev_time
        prev_time = curr_time
        accum_time = accum_time + exec_time
        curr_fps = curr_fps + 1
        if accum_time > 1:
            accum_time = accum_time - 1
            fps = "FPS: " + str(curr_fps)
            curr_fps = 0
        cv2.putText(result, text=fps, org=(3, 15), fontFace=cv2.FONT_HERSHEY_SIMPLEX,
                    fontScale=0.50, color=(255, 0, 0), thickness=2)
        cv2.namedWindow("result", cv2.WINDOW_NORMAL)
        cv2.imshow("result", result)
        if isOutput:
            out.write(result)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    yolo.close_session() 

def detect_video(yolo, video_path, output_path=""):
    import cv2
    vid = cv2.VideoCapture(video_path)
    if not vid.isOpened():
        raise IOError("Couldn't open webcam or video")
    video_FourCC    = int(vid.get(cv2.CAP_PROP_FOURCC))
    video_fps       = vid.get(cv2.CAP_PROP_FPS)
    video_size      = (int(vid.get(cv2.CAP_PROP_FRAME_WIDTH)),
                        int(vid.get(cv2.CAP_PROP_FRAME_HEIGHT)))
    isOutput = True if output_path != "" else False
    if isOutput:
        print("!!! TYPE:", type(output_path), type(video_FourCC), type(video_fps), type(video_size))
        out = cv2.VideoWriter(output_path, video_FourCC, video_fps, video_size)
    accum_time = 0
    curr_fps = 0
    fps = "FPS: ??"
    prev_time = timer()
    while True:
        return_value, frame = vid.read()
        image = Image.fromarray(frame)
        image = yolo.detect_image(image)
        result = np.asarray(image)
        curr_time = timer()
        exec_time = curr_time - prev_time
        prev_time = curr_time
        accum_time = accum_time + exec_time
        curr_fps = curr_fps + 1
        if accum_time > 1:
            accum_time = accum_time - 1
            fps = "FPS: " + str(curr_fps)
            curr_fps = 0
        cv2.putText(result, text=fps, org=(3, 15), fontFace=cv2.FONT_HERSHEY_SIMPLEX,
                    fontScale=0.50, color=(255, 0, 0), thickness=2)
        cv2.namedWindow("result", cv2.WINDOW_NORMAL)
        cv2.imshow("result", result)
        if isOutput:
            out.write(result)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    yolo.close_session() 

def fps( self ):
        fps =  int( self._cameraDevice.get( cv2.CAP_PROP_FPS ) )
        if not fps > 0:
            fps = self._DEFAULT_FPS
        return fps 

def cam_init(cam_index, width, height): 
    cap = cv2.VideoCapture(cam_index)
    if sys.version_info < (3, 0):
        cap.set(cv2.cv.CV_CAP_PROP_FPS, 30)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)
    else:
        cap.set(cv2.CAP_PROP_FPS, 30)
        cap.set(cv2.CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
    return cap 

def get_start_time(self):
        """Returns the timestamp of the beginning of this video in sec."""
        if (not self._source_file) or (not self.video_capture):
            return None

        last_modified_time = os.stat(self._source_file).st_mtime

        frames = self.video_capture.get(cv2.CAP_PROP_FRAME_COUNT)
        fps = self.video_capture.get(cv2.CAP_PROP_FPS)
        duration = frames / fps

        return last_modified_time - duration

    # override 

def set_frame_source(self, source):
        if isinstance(source, cv2.VideoCapture):
            self.source = source
            self.source_frame_count = int(source.get(cv2.CAP_PROP_FRAME_COUNT))
            self.source_fps = int(source.get(cv2.CAP_PROP_FPS))

            has_max_frames = self.max_frames is not None and not np.isinf(self.max_frames)
            if self.source_frame_count > 0 and not has_max_frames:
                self._max_frames = self.source_frame_count
            elif has_max_frames and self.source_frame_count < self.max_frames:
                self._max_frames = self.source_frame_count
        else:
            raise TypeError('Not yet support for non cv2.VideoCapture frame source.') 

def cam_init(cam_index, width, height): 
    cap = cv2.VideoCapture(cam_index)
    if sys.version_info < (3, 0):
        cap.set(cv2.cv.CV_CAP_PROP_FPS, 30)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)
    else:
        cap.set(cv2.CAP_PROP_FPS, 30)
        cap.set(cv2.CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
    return cap 

def cam_init(cam_index, width, height): 
    cap = cv2.VideoCapture(cam_index)
    if sys.version_info < (3, 0):
        cap.set(cv2.cv.CV_CAP_PROP_FPS, 30)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)
    else:
        cap.set(cv2.CAP_PROP_FPS, 30)
        cap.set(cv2.CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
    return cap 

def cam_init(cam_index, width, height): 
    cap = cv2.VideoCapture(cam_index)
    if sys.version_info < (3, 0):
        cap.set(cv2.cv.CV_CAP_PROP_FPS, 30)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)
    else:
        cap.set(cv2.CAP_PROP_FPS, 30)
        cap.set(cv2.CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
    return cap 

def cam_init(cam_index, width, height): 
    cap = cv2.VideoCapture(cam_index)
    if sys.version_info < (3, 0):
        cap.set(cv2.cv.CV_CAP_PROP_FPS, 30)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)
    else:
        cap.set(cv2.CAP_PROP_FPS, 30)
        cap.set(cv2.CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
    return cap 

def cam_init(width, height): 
    cap = cv2.VideoCapture(0)
    if sys.version_info < (3, 0):
        cap.set(cv2.cv.CV_CAP_PROP_FPS, 30)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)
    else:
        cap.set(cv2.CAP_PROP_FPS, 30)
        cap.set(cv2.CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
    return cap 

def cam_init(cam_index, width, height): 
    cap = cv2.VideoCapture(cam_index)
    if sys.version_info < (3, 0):
        cap.set(cv2.cv.CV_CAP_PROP_FPS, 30)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)
    else:
        cap.set(cv2.CAP_PROP_FPS, 30)
        cap.set(cv2.CAP_PROP_FRAME_WIDTH,  width)
        cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
    return cap