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#!/usr/bin/env python3
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# BEGIN ALL
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import rospy, cv2, cv_bridge, numpy
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from sensor_msgs.msg import Image
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from geometry_msgs.msg import Twist
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class Follower:
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def __init__(self):
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self.bridge = cv_bridge.CvBridge()
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cv2.namedWindow("window", 1)
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self.image_sub = rospy.Subscriber('camera/rgb/image_raw',
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Image, self.image_callback)
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self.cmd_vel_pub = rospy.Publisher('cmd_vel_mux/input/teleop',
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Twist, queue_size=1)
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self.twist = Twist()
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def image_callback(self, msg):
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image = self.bridge.imgmsg_to_cv2(msg,desired_encoding='bgr8')
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hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
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lower_yellow = numpy.array([ 10, 10, 10])
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upper_yellow = numpy.array([255, 255, 250])
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mask = cv2.inRange(hsv, lower_yellow, upper_yellow)
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h, w, d = image.shape
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search_top = 3*h/4
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search_bot = 3*h/4 + 20
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mask[0:search_top, 0:w] = 0
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mask[search_bot:h, 0:w] = 0
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M = cv2.moments(mask)
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if M['m00'] > 0:
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cx = int(M['m10']/M['m00'])
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cy = int(M['m01']/M['m00'])
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cv2.circle(image, (cx, cy), 20, (0,0,255), -1)
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# BEGIN CONTROL
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err = cx - w/2
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self.twist.linear.x = 0.2
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self.twist.angular.z = -float(err) / 100
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self.cmd_vel_pub.publish(self.twist)
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# END CONTROL
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cv2.imshow("window", image)
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cv2.waitKey(3)
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rospy.init_node('follower')
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follower = Follower()
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rospy.spin()
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# END ALL
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