Python cv2.CAP_PROP_FOURCC屬性代碼示例

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
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.
# 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
def create_writer(self, height, width):
        fps = self.cap.get(cv2.CAP_PROP_FPS)
        logging.info('cap fps=%f' % fps)
        path = os.path.expanduser(os.path.expandvars(self.args.output))
        if self.args.fourcc:
            fourcc = cv2.VideoWriter_fourcc(*self.args.fourcc.upper())
        else:
            fourcc = int(self.cap.get(cv2.CAP_PROP_FOURCC))
        os.makedirs(os.path.dirname(path), exist_ok=True)
        return cv2.VideoWriter(path, fourcc, fps, (width, height)) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
def detect_video(yolo, video_path, output_path=""):
    import cv2
    vid = cv2.VideoCapture(0)

    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() 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
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 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
def __setup_stream_settings(self):
        # Set compression format
        self.__video_stream.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'))
        # Set Buffer size
        # -- Not available in opencv 3.4 -- #
        self.__video_stream.set(cv2.CAP_PROP_BUFFERSIZE, rospy.get_param("~buffer_size"))
        # Set image size
        w, h = rospy.get_param("~frame_size")
        self.__video_stream.set(cv2.CAP_PROP_FRAME_WIDTH, w)
        self.__video_stream.set(cv2.CAP_PROP_FRAME_HEIGHT, h)
        # Set frame rate
        self.__video_stream.set(cv2.CAP_PROP_FPS, self.__frame_rate) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
def source_capture(source):
    source = int(source) if source.isdigit() else source
    cap = cv2.VideoCapture(source)

    fourcc_cap = cv2.VideoWriter_fourcc(*'MJPG')
    cap.set(cv2.CAP_PROP_FOURCC, fourcc_cap)
    cap.set(cv2.CAP_PROP_FRAME_WIDTH, cfg.w)
    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, cfg.h)
    return cap 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
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() 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
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 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
def detect_video(yolo, video_path=0, output_path=""):
    import cv2
    vid = cv2.VideoCapture(0)
    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() 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
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() 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
def videoinfo(self):
        # indicate the video info
        fourcc=int(self.stream.get(cv2.CAP_PROP_FOURCC))
        fps=self.stream.get(cv2.CAP_PROP_FPS)
        frameSize=(int(self.stream.get(cv2.CAP_PROP_FRAME_WIDTH)),int(self.stream.get(cv2.CAP_PROP_FRAME_HEIGHT)))
        return (fourcc,fps,frameSize) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
def videoinfo(self):
        # indicate the video info
        fourcc = int(self.stream.get(cv2.CAP_PROP_FOURCC))
        fps = self.stream.get(cv2.CAP_PROP_FPS)
        frameSize = (int(self.stream.get(cv2.CAP_PROP_FRAME_WIDTH)), int(self.stream.get(cv2.CAP_PROP_FRAME_HEIGHT)))
        return (fourcc, fps, frameSize) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
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()
    pass 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
def __init__(self, camera_id=0, fps=60, **kwargs):
        """Create queues and threads to read and preprocess data."""
        self._short_name = 'Webcam'

        self._capture = cv.VideoCapture(camera_id)
        self._capture.set(cv.CAP_PROP_FRAME_WIDTH, 1280)
        self._capture.set(cv.CAP_PROP_FRAME_HEIGHT, 720)
        self._capture.set(cv.CAP_PROP_FOURCC, cv.VideoWriter_fourcc(*'MJPG'))
        self._capture.set(cv.CAP_PROP_FPS, fps)

        # Call parent class constructor
        super().__init__(**kwargs) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_PROP_FOURCC [as 別名]
def __init__(self, sources):
        assert sources
        self.captures = []
        self.transforms = []

        try:
            sources = [int(src) for src in sources]
            mode = 'cam'
        except ValueError:
            mode = 'video'

        if mode == 'cam':
            for id in sources:
                log.info('Connection  cam {}'.format(id))
                cap = cv.VideoCapture(id)
                cap.set(cv.CAP_PROP_FRAME_WIDTH, 1280)
                cap.set(cv.CAP_PROP_FRAME_HEIGHT, 720)
                cap.set(cv.CAP_PROP_FPS, 30)
                cap.set(cv.CAP_PROP_FOURCC, cv.VideoWriter_fourcc(*'MJPG'))
                assert cap.isOpened()
                self.captures.append(cap)
        else:
            for video_path in sources:
                log.info('Opening file {}'.format(video_path))
                cap = cv.VideoCapture(video_path)
                assert cap.isOpened()
                self.captures.append(cap)