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docs (en): Update qr code scan instruction and script
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@@ -94,40 +94,39 @@ The obtained images can be viewed using [web_video_server](web_video_server.md).
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> **Hint** For high-speed recognition and positioning, it is better to use [ArUco markers](aruco.md).
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To program actions of the copter upon detection of [QR codes](https://en.wikipedia.org/wiki/QR_code) you can use the [ZBar] library (http://zbar.sourceforge.net). It should be installed using pip:
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To program actions of the copter upon detection of [QR codes](https://en.wikipedia.org/wiki/QR_code) you can use the [pyZBar](https://pypi.org/project/pyzbar/). It should be installed using pip:
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```bash
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sudo pip install zbar
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sudo pip install pyzbar
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```
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QR codes recognition in Python:
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```python
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import cv2
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import zbar
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import rospy
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from pyzbar import pyzbar
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from cv_bridge import CvBridge
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from sensor_msgs.msg import Image
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bridge = CvBridge()
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scanner = zbar.ImageScanner()
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scanner.parse_config('enable')
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rospy.init_node('barcode_test')
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# Image subscriber callback function
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def image_callback(data):
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cv_image = bridge.imgmsg_to_cv2(data, 'bgr8') # OpenCV image
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gray = cv2.cvtColor(cv_image, cv2.COLOR_BGR2GRAY, dstCn=0)
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pil = ImageZ.fromarray(gray)
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raw = pil.tobytes()
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image = zbar.Image(320, 240, 'Y800', raw) # Image params
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scanner.scan(image)
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for symbol in image:
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# print detected QR code
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print 'decoded', symbol.type, 'symbol', '"%s"' % symbol.data
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barcodes = pyzbar.decode(cv_image)
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for barcode in barcodes:
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b_data = barcode.data.encode("utf-8")
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b_type = barcode.type
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(x, y, w, h) = barcode.rect
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xc = x + w/2
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yc = y + h/2
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print ("Found {} with data {} with center at x={}, y={}".format(b_type, b_data, xc, yc))
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image_sub = rospy.Subscriber('main_camera/image_raw', Image, image_callback, queue_size=1)
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rospy.spin()
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```
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The script will take up to 100% CPU capacity. To slow down the script artificially, you can use [throttling](http://wiki.ros.org/topic_tools/throttle) of frames from the camera, for example, at 5 Hz (`main_camera.launch`):
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