Dock_detection #335
Dock_detection #335
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Again, to finish the program you need all the things listed in my latest comment here (from a month ago):
#210
| import sys | ||
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| # import template picture form local file | ||
| imgCr = cv2.imread('/home/y21/mil_ws/src/NaviGator/perception/navigator_vision/templates/dock_shape_identification/cross.png', 0) |
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We need to be able to run your program too... so these files need to be in the repo
| edgeCir = cv2.Canny(medianCir, 100, 200) | ||
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| class dock_detection: |
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need a docstring comment describing what this program does and how to use it
| # check if successfully subscribed the topic | ||
| cv_image = self.bridge.imgmsg_to_cv2(data, "bgr8") | ||
| except CvBridgeError as e: | ||
| print(e) |
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if there was a error, you need to exit the function
| break | ||
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| # publish the message out | ||
| pub = rospy.Publisher( |
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make this in your class constructor. VERY slow to make this every callback
| pub.publish(shape) | ||
| rospy.loginfo(color) | ||
| pub.publish(color) | ||
| rate.sleep() |
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what is the point of this?
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| def main(args): | ||
| ic = dock_detection() | ||
| rospy.init_node('dock_detection', anonymous=True) |
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init_node needs to go before any subscribers/publishers
Upload the program "Dock_Detection" and two template pictures