Exemplo n.º 1
0
    def go(self):
        vehicle_name = dtu.get_current_robot_name() if dtu.on_duckiebot(
        ) else "default"

        output = self.options.output
        if output is None:
            output = 'out-pipeline'  #  + dtu.get_md5(self.options.image)[:6]
            self.info('No --output given, using %s' % output)

        if self.options.image is not None:
            image_filename = self.options.image
            if image_filename.startswith('http'):
                image_filename = dtu.get_file_from_url(image_filename)

            bgr = dtu.bgr_from_jpg_fn(image_filename)
        else:
            print("Validating using the ROS image stream...")
            import rospy
            from sensor_msgs.msg import CompressedImage

            topic_name = os.path.join('/', vehicle_name,
                                      'camera_node/image/compressed')

            print('Let\'s wait for an image. Say cheese!')

            # Dummy to get ROS message
            rospy.init_node('single_image')
            img_msg = None
            try:
                img_msg = rospy.wait_for_message(topic_name,
                                                 CompressedImage,
                                                 timeout=10)
                print('Image captured!')
            except rospy.ROSException as e:
                print(
                    '\n\n\nDidn\'t get any message!: %s\n MAKE SURE YOU USE DT SHELL COMMANDS OF VERSION 4.1.9 OR HIGHER!\n\n\n'
                    % (e, ))

            bgr = dtu.bgr_from_rgb(dtu.rgb_from_ros(img_msg))
            self.info('Picture taken: %s ' % str(bgr.shape))

        gp = GroundProjection(vehicle_name)

        dtu.DuckietownConstants.show_timeit_benchmarks = True
        res, _stats = run_pipeline(
            bgr,
            gp,
            line_detector_name=self.options.line_detector,
            image_prep_name=self.options.image_prep,
            anti_instagram_name=self.options.anti_instagram,
            lane_filter_name=self.options.lane_filter)

        self.info('Resizing images..')
        res = dtu.resize_small_images(res)
        self.info('Writing images..')
        dtu.write_bgr_images_as_jpgs(res, output)
Exemplo n.º 2
0
    def go(self):
        output = self.options.output
        if output is None:
            output = 'out-pipeline'  #  + dtu.get_md5(self.options.image)[:6]
            self.info('No --output given, using %s' % output)

        if self.options.image is not None:
            image_filename = self.options.image
            if image_filename.startswith('http'):
                image_filename = dtu.get_file_from_url(image_filename)

            bgr = dtu.bgr_from_jpg_fn(image_filename)
        else:
            self.info('Taking a picture. Say cheese!')
            out = os.path.join(output, 'frame.jpg')
            bgr = dtu.bgr_from_raspistill(out)
            self.info('Picture taken: %s ' % str(bgr.shape))

            bgr = dtu.d8_image_resize_fit(bgr, 640)
            self.info('Resized to: %s ' % str(bgr.shape))

        vehicle_name = dtu.get_current_robot_name()
        gp = GroundProjection(vehicle_name)

        if False:
            _res = run_pipeline(
                bgr,
                gp,
                line_detector_name=self.options.line_detector,
                image_prep_name=self.options.image_prep,
                anti_instagram_name=self.options.anti_instagram,
                lane_filter_name=self.options.lane_filter)

        dtu.DuckietownConstants.show_timeit_benchmarks = True
        res, _stats = run_pipeline(
            bgr,
            gp,
            line_detector_name=self.options.line_detector,
            image_prep_name=self.options.image_prep,
            anti_instagram_name=self.options.anti_instagram,
            lane_filter_name=self.options.lane_filter)

        self.info('resizing')
        res = dtu.resize_small_images(res)
        self.info('writing')
        dtu.write_bgr_images_as_jpgs(res, output)