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literal 0 HcmV?d00001 From 215f1ea1992dd17e904157fceb72fe007bffde52 Mon Sep 17 00:00:00 2001 From: Kanayama Hiroki Date: Sat, 27 Jun 2015 05:05:41 +0900 Subject: [PATCH 3/3] resubmit my homework --- 20150422/48156511_README.md | 9 ++ 20150422/README.md | 141 +----------------- 20150422/launch/48156511_face_detect.launch | 16 ++ 20150422/scripts/48156511_face_detect_mono.py | 115 ++++++++++++++ 4 files changed, 146 insertions(+), 135 deletions(-) create mode 100644 20150422/48156511_README.md create mode 100644 20150422/launch/48156511_face_detect.launch create mode 100755 20150422/scripts/48156511_face_detect_mono.py diff --git a/20150422/48156511_README.md b/20150422/48156511_README.md new file mode 100644 index 0000000..31d4c19 --- /dev/null +++ b/20150422/48156511_README.md @@ -0,0 +1,9 @@ +# homework20150422_48156511 + + - Open new terminal and execute command below: + ```bash +roslaunch homework20150422 48156511_face_detect.launch +``` + + - You can see 2 image_view (one shows raw image view, and another shows the edge of raw image.) + - You can regulate edge image by changing thresh1 and thresh2 in the py file. diff --git a/20150422/README.md b/20150422/README.md index 30f3a37..31d4c19 100644 --- a/20150422/README.md +++ b/20150422/README.md @@ -1,138 +1,9 @@ -# homework20150422 +# homework20150422_48156511 -1. execute `talker/listener` sample - - **Goal:** Comprehend node, topic, publish/subscriber and command line tools for ROS - - - Open new terminal and execute command below: - ```bash -# Terminal 1 -roscore -``` - - Open new terminal and execute command below - ```bash - # Terminal 2 -rosrun homework20150422 talker.l -``` - - Open new terminal and execute command below: - ```bash - # Terminal 3 -rosrun homework20150422 listener.l -``` - - - Open new terminal and execute commands below: - ```bash - # Terminal 4 -rostopic list # you can find all topics advertised -rostopic info /chatter # you can see detail information of /chatter topic -rostopic echo /chatter # you can also see the message published as /chatter topic -``` - -2. execute `turtlesim` sample - - **Goal:** Comprehend ros distributed system with multiple launguages, and its launching system called `roslaunch` - - - Open new terminal and execute commands below: - ```bash - # Terminal 1 -roslaunch homework20150422 turtlesim.launch + - Open new terminal and execute command below: + ```bash +roslaunch homework20150422 48156511_face_detect.launch ``` - - Focus the terminal and push `up` `down` `right` `left` keys. - - - See what nodes are launching by `rosnode list`: - ```bash - # Terminal 2 -rosnode list # you can see what nodes are on ROS -``` - - - Now let's take a look at `turtlesim.launch` - ```xml - - - - - - -``` - - - You can see 2 `` tags in launch file. This means these 2 nodes are launched.: - ```xml - -``` - - `name` attribute: name of the node - - **NOTE** (each node name is already named in each nodes, but once you set name different from that written at original node, it will be overwriten (we call it `remapped`)) - - `pkg` attribute: package of the node - - `type` attribute: program name of the node (we can use each independent node by `rosrun `) - - - Now let's look at next node example: - ```xml - - - -``` - - `args` attribute (optional): arguments passed when launching node - - `output` attribute (optional): when this has value `screen`, we can see output log of this node. (This is important when launching nodes on another machine, and need to transmit log output to your terminal) - - ``: remapping topic name - Detail: `turtlesim-teleop.l` has publisher of `cmd_vel`, so if you launch this node with `rosrun`, this node publishes `/cmd_vel` topic. But, if remapped `cmd_vel` to `/turtle1/cmd_vel` as described above, this node changes the topic name from `/cmd_vel` to `/turtle1/cmd_vel`. - You can change subscribe/publish topic of the node without changing any code. - - -3. execute `face_detector` sample: - - **GOAL** Comprehend nested `launch`, topic remapping - - - Open new terminal and execute command below: - ```bash -roslaunch homework20150422 camera.launch -``` - - - You can see the image captured from the camera of your PC - - - Press `Ctrl-C` to stop this launch - - - Open new terminal and execute command below: - ```bash -roslaunch homework20150422 face_detect.launch -``` - - - You can see 2 image_view (one shows raw image view, and another shows the image drawn rectangle over the detected face using OpenCV) - - ```xml - - ... - - ... -``` - - - You can use arguments in launch file - - You can also set arguments when launches launch file - e.g.: `roslaunch homework20150422 face_detect.launch show_debug_image:=false` - - ```xml - -``` - - You can include another `launch` files. - -4. Make your own image processing node - - - previous `face_detector` example has node doing 3 things: - - Subscribe `sensor_msgs/Image` message - - Processs image subscribed (detecting face, and draw rectangle on each image) - - Publish processed image - - Let's make your own node to process image, and visualize processed image - - Please send pull request below: - - your source codes of image processing that: - - Subscribe `sensor_msgs/Image` message - - Processs image subscribed (any processing is ok) - - Publish processed image - - make `launch` file to show following: - - original camera image - - processed image - - add `README` which describes your node + - You can see 2 image_view (one shows raw image view, and another shows the edge of raw image.) + - You can regulate edge image by changing thresh1 and thresh2 in the py file. diff --git a/20150422/launch/48156511_face_detect.launch b/20150422/launch/48156511_face_detect.launch new file mode 100644 index 0000000..c57fc39 --- /dev/null +++ b/20150422/launch/48156511_face_detect.launch @@ -0,0 +1,16 @@ + + + + + + + + + + + + + + + diff --git a/20150422/scripts/48156511_face_detect_mono.py b/20150422/scripts/48156511_face_detect_mono.py new file mode 100755 index 0000000..540c3b7 --- /dev/null +++ b/20150422/scripts/48156511_face_detect_mono.py @@ -0,0 +1,115 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# Author: Yuki Furuta + +# 1. import rospy to enable ROS feature of python +import rospy + +# 2. import message files for python +# cf. you can find what contains in a message by executing `rosmsg show ` +# e.g. rosmsg show sensor_msgs/Image +from sensor_msgs.msg import Image # This imports sensor_msgs/Image +from geometry_msgs.msg import Twist # This imports geometry_msgs/Twist + +# Tips: This is special utility for converting between ROS Image message and OpenCV Image format. +from cv_bridge import CvBridge + +import cv2 # this imports opencv python interface + +# Since indigo, opencv is not released from ROS infrastructure. +cascade_path = "/usr/share/opencv/haarcascades/haarcascade_frontalface_alt2.xml" + +class FaceDetectorMonoNode(object): + """ +This class has feature to subscribe "image" and detect people face, +then publishes those positions as geometry_msgs/Twist message. +""" + + def __init__(self): + # make instance of object for image processing + try: + self.bridge = CvBridge() + self.cascade = cv2.CascadeClassifier(cascade_path) + except Exception as e: + rospy.logerr("Error: %s" % e) + + # 4. subscribe "image" topic whose message type is sensor_msgs/Image + self.image_subscriber = rospy.Subscriber("image", Image, self.image_callback) + + # declare publishers + self.face_pose_publisher = rospy.Publisher("twist", Twist) + self.debug_image_publisher = rospy.Publisher("debug_image", Image) + + + + # 5. define callback function for image topic + def image_callback(self, msg): + img_size = (msg.width, msg.height) + + # 6. convert ROS sensor_msgs/Image to OpenCV format + img_mat = self.bridge.imgmsg_to_cv2(msg) + + # 7. convert image to grey image + img_grey = cv2.cvtColor(img_mat, cv2.cv.CV_BGR2GRAY) + + # 8. detect edge(Canny) + #you can regulate edge image by changing thresh1,2 ( 0-255 ) + thresh1 = 50 + thresh2 = 100 + edge = cv2.Canny(img_grey,thresh1,thresh2) + + # 9. publish debug image + pub_debug_img_msg = self.bridge.cv2_to_imgmsg(edge, encoding="mono8") + self.debug_image_publisher.publish(pub_debug_img_msg) + + + # # 7. detect face in an image + # face_rects = self.cascade.detectMultiScale(img_grey, + # scaleFactor=1.1, + # minNeighbors=1, + # minSize=(1,1)) + + # rospy.loginfo("%s" % msg) + + # if len(face_rects) > 0: + # rect = face_rects[0] # use first rect + # face_rect_origin = (rect[0], rect[1]) # (x,y) + # face_rect_size = (rect[2] - rect[0], rect[3] - rect[1]) # (width, height) + # face_rect_center = (face_rect_origin[0] + face_rect_size[0] * 0.5, + # face_rect_origin[1] + face_rect_size[1] * 0.5) + + # # 8. logging face position + # rospy.loginfo("face detected at (x, y) = (%d, %d)" % face_rect_center) + + # # 9. compute center of face relative to center of camera image + # # Note that face_relative_center has value (-img_size/2 ~ +img_size/2) + # img_center = (img_size[0] * 0.5, img_size[1] * 0.5) + # face_relative_center = (face_rect_center[0] - img_center[0], + # face_rect_center[1] - img_center[1]) + + # # 10. make Twist message and set values + # pub_msg = Twist() + # pub_msg.linear.x = face_relative_center[1] / img_center[1] + # pub_msg.angular.z = face_relative_center[0] / img_center[0] + + # # 12. publish debug image + # color = (0, 0, 255) + # cv2.circle(img_mat, face_rect_origin, + # 100, + # color, thickness=2) + # pub_debug_img_msg = self.bridge.cv2_to_imgmsg(img_mat, encoding="bgr8") + # self.debug_image_publisher.publish(pub_debug_img_msg) + + # # 11. publish message + # self.face_pose_publisher.publish(pub_msg) + # else: + # rospy.loginfo("no face detected.") + +if __name__ == '__main__': + # 3. At first, we must set node name, and register to the master. + # In this case, node name is face_detector_mono + rospy.init_node("face_detector_mono") + face_detector = FaceDetectorMonoNode() + + # wait for message comming + rospy.spin()