Python cv2.CAP_GSTREAMER屬性代碼示例

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def open_cam_rtsp(uri, width, height, latency):
    """Open an RTSP URI (IP CAM)."""
    gst_elements = str(subprocess.check_output('gst-inspect-1.0'))
    if 'omxh264dec' in gst_elements:
        # Use hardware H.264 decoder on Jetson platforms
        gst_str = ('rtspsrc location={} latency={} ! '
                   'rtph264depay ! h264parse ! omxh264dec ! '
                   'nvvidconv ! '
                   'video/x-raw, width=(int){}, height=(int){}, '
                   'format=(string)BGRx ! videoconvert ! '
                   'appsink').format(uri, latency, width, height)
    elif 'avdec_h264' in gst_elements:
        # Otherwise try to use the software decoder 'avdec_h264'
        # NOTE: in case resizing images is necessary, try adding
        #       a 'videoscale' into the pipeline
        gst_str = ('rtspsrc location={} latency={} ! '
                   'rtph264depay ! h264parse ! avdec_h264 ! '
                   'videoconvert ! appsink').format(uri, latency)
    else:
        raise RuntimeError('H.264 decoder not found!')
    return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def show_camera():
    # To flip the image, modify the flip_method parameter (0 and 2 are the most common)
    print(gstreamer_pipeline(flip_method=0))
    cap = cv2.VideoCapture(gstreamer_pipeline(flip_method=0), cv2.CAP_GSTREAMER)
    if cap.isOpened():
        window_handle = cv2.namedWindow('CSI Camera', cv2.WINDOW_AUTOSIZE)
        # Window 
        while cv2.getWindowProperty('CSI Camera',0) >= 0:
            ret_val, img = cap.read();
            cv2.imshow('CSI Camera',img)
	    # This also acts as 
            keyCode = cv2.waitKey(30) & 0xff
            # Stop the program on the ESC key
            if keyCode == 27:
               break
        cap.release()
        cv2.destroyAllWindows()
    else:
        print('Unable to open camera') 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def open_cam_rtsp(uri, width, height, latency):
    """Open an RTSP URI (IP CAM)."""
    gst_str = ('rtspsrc location={} latency={} ! '
               'rtph264depay ! h264parse ! omxh264dec ! '
               'nvvidconv ! '
               'video/x-raw, width=(int){}, height=(int){}, '
               'format=(string)BGRx ! videoconvert ! '
               'appsink').format(uri, latency, width, height)
    return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def frames():
        camera = cv2.VideoCapture(gstreamer_pipeline(flip_method=0), cv2.CAP_GSTREAMER)
        if not camera.isOpened():
            raise RuntimeError('Could not start camera.')

        while True:
            # read current frame
            _, img = camera.read()

            yield img 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def open_cam_usb(dev, width, height):
    """Open a USB webcam."""
    if USB_GSTREAMER:
        gst_str = ('v4l2src device=/dev/video{} ! '
                   'video/x-raw, width=(int){}, height=(int){} ! '
                   'videoconvert ! appsink').format(dev, width, height)
        return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)
    else:
        return cv2.VideoCapture(dev) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def open_cam_onboard(width, height):
    """Open the Jetson onboard camera."""
    gst_elements = str(subprocess.check_output('gst-inspect-1.0'))
    if 'nvcamerasrc' in gst_elements:
        # On versions of L4T prior to 28.1, you might need to add
        # 'flip-method=2' into gst_str below.
        gst_str = ('nvcamerasrc ! '
                   'video/x-raw(memory:NVMM), '
                   'width=(int)2592, height=(int)1458, '
                   'format=(string)I420, framerate=(fraction)30/1 ! '
                   'nvvidconv ! '
                   'video/x-raw, width=(int){}, height=(int){}, '
                   'format=(string)BGRx ! '
                   'videoconvert ! appsink').format(width, height)
    elif 'nvarguscamerasrc' in gst_elements:
        gst_str = ('nvarguscamerasrc ! '
                   'video/x-raw(memory:NVMM), '
                   'width=(int)1920, height=(int)1080, '
                   'format=(string)NV12, framerate=(fraction)30/1 ! '
                   'nvvidconv flip-method=2 ! '
                   'video/x-raw, width=(int){}, height=(int){}, '
                   'format=(string)BGRx ! '
                   'videoconvert ! appsink').format(width, height)
    else:
        raise RuntimeError('onboard camera source not found!')
    return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def open_cam_usb(dev, width, height):
    """Open a USB webcam.

    We want to set width and height here, otherwise we could just do:
        return cv2.VideoCapture(dev)
    """
    gst_str = ('v4l2src device=/dev/video{} ! '
               'video/x-raw, width=(int){}, height=(int){} ! '
               'videoconvert ! appsink').format(dev, width, height)
    return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def open_cam_onboard(width, height):
    """Open the Jetson onboard camera.

    On versions of L4T prior to 28.1, you might need to add
    'flip-method=2' into gst_str.
    """
    gst_str = ('nvcamerasrc ! '
               'video/x-raw(memory:NVMM), '
               'width=(int)2592, height=(int)1458, '
               'format=(string)I420, framerate=(fraction)30/1 ! '
               'nvvidconv ! '
               'video/x-raw, width=(int){}, height=(int){}, '
               'format=(string)BGRx ! videoconvert ! '
               'appsink').format(width, height)
    return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def open_usb_camera():
    gst_str = ("v4l2src device={} ! "
                "video/x-raw, width=(int){}, height=(int){}, framerate=(fraction)30/1 ! "
                "videoconvert !  video/x-raw, , format=(string)BGR ! appsink"
              ).format(
                VIDEO_DEVICE, VIDEO_WIDTH, VIDEO_HEIGHT
              )
    return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def open_cam_usb():
    # We want to set width and height here, otherwise we could just do:
    #     return cv2.VideoCapture(dev)
    gst_str = ("v4l2src device=/dev/video0 ! "
                "video/x-raw, width=(int){}, height=(int){}, framerate=(fraction)30/1 ! "
                "videoconvert !  video/x-raw, , format=(string)BGR ! appsink"
              ).format(WIDTH, HEIGHT)
    return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def __init__(self, mqttBroker, camera=None, topic="ha/camera/mqtt"):
        self.show = True
        self.broker = mqttBroker
        self.topic = topic
        self.send_frames = 0
        # To flip the image, modify the flip_method parameter (0 and 2 are the most common)
        print(gstreamer_pipeline(flip_method=0))
        self.cap = cv2.VideoCapture(gstreamer_pipeline(flip_method=0), cv2.CAP_GSTREAMER)
        # First frame is average...
        ret, self.avgframe = self.cap.read()
        self.connect("Jetson MQTT Camera") 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def ObjectTracking(self):
    detector = Detector()
    myiter = glob.iglob(os.path.join(IMAGE_FOLDER, '**', '*.jpg'),
                        recursive=True)
    newdict = reduce(lambda a, b: reduce_tracking(a,b), myiter, dict())
    startID = max(map(int, newdict.keys()), default=0) + 1
    ct = CentroidTracker(startID=startID)
    camera = cv2.VideoCapture(gstreamer_pipeline(flip_method=0), cv2.CAP_GSTREAMER)
    if not camera.isOpened():
        raise RuntimeError('Could not start camera.')

    try:
        while True:
            _, img = camera.read()
            boxes, confs, clss = detector.prediction(img, conf_th=0.8, conf_class=[1])
            img = detector.draw_boxes(img, boxes, confs, clss)
            previous_object_ID = ct.nextObjectID
            objects = ct.update(boxes)
            if len(boxes) > 0 and 1 in clss and previous_object_ID in list(objects.keys()):
                print("detected {} {} {} {}".format(ct.nextObjectID, confs, objects, boxes))

                # loop over the tracked objects
                for (objectID, centroid) in objects.items():
                    text = "ID {}".format(objectID)
                    cv2.putText(img, text, (centroid[0] - 10, centroid[1] - 10),
                            cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
                    cv2.circle(img, (centroid[0], centroid[1]), 4, (0, 255, 0), -1)

                day = datetime.now().strftime("%Y%m%d")
                directory = os.path.join(IMAGE_FOLDER, 'pi', day)
                if not os.path.exists(directory):
                    os.makedirs(directory)
                ids = "-".join(list([str(i) for i in objects.keys()]))
                hour = datetime.now().strftime("%H%M%S")
                filename_output = os.path.join(
                        directory, "{}_person_{}_.jpg".format(hour, ids)
                        )
                cv2.imwrite(filename_output, img)
            time.sleep(0.100)
    except KeyboardInterrupt:
        print('interrupted!')
        camera.release()
        print(type(objects))
        print(objects)
    except Exception as e:
        print('interrupted! by:')
        print(e)
        camera.release()
        print(type(objects))
        print(objects) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import CAP_GSTREAMER [as 別名]
def __connect(self):
        if self._cap is not None:
            self._cap.release()
            del self._cap
            self._cap = None
            time.sleep(1)

        device = "device=/dev/video%i" % self._config["index"]
        gst = None
        if self._config["mode"] == "video":
            gst = (
                "v4l2src %s"
                " ! video/x-raw,format=YUY2,width=%i,height=%i,framerate=%i/1 "
                " ! videoconvert ! appsink"
                % (device, self._config["width"], self._config["height"], self._config["fps"])
            )
        elif self._config["mode"] == "image":
            gst = (
                "v4l2src %s"
                " ! image/jpeg,width=%i,height=%i,framerate=%i/1"
                " ! jpegparse ! jpegdec ! videoconvert ! appsink"
                % (device, self._config["width"], self._config["height"], self._config["fps"])
            )
        elif self._config["mode"] == "csi":
            gst = (
                "nvarguscamerasrc sensor-id=%i"
                " ! video/x-raw(memory:NVMM),width=%i,height=%i,framerate=(fraction)%i/1,format=(string)NV12"
                " ! nvtee ! nvvidconv flip-method=%i"
                " ! video/x-raw,width=%i,height=%i,format=BGRx"
                " ! videoconvert ! appsink"
                % (
                    self._config["index"],
                    self._config["capture_width"],
                    self._config["capture_height"],
                    self._config["fps"],
                    self._config["flip_method"],
                    self._config["width"],
                    self._config["height"],
                )
            )

        print(gst)
        if gst is not None:
            self._cap = cv2.VideoCapture(gst, cv2.CAP_GSTREAMER)