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NUWA-HP60C Depth Camera📖
1.ROS1-Depth camera usage course
  • 1. Environment Construction
  • 2. Camera recording video
2.ROS1-ROS+OpenCV application
  • 1.ROS+Opencv Basics
  • 2.Face recognition
  • 3.Harris corner detection
  • 4. Target Tracking Algorithm
  • 5. Contour moment
  • 6. Polygonal Outlines
  • 7. Discrete Fourier Transform Algorithm
  • 8. Edge Detection Algorithm
  • 9. Face Detection Algorithm
  • 10. Optical flow detection algorithm
  • 11. Contour Detection
  • 12. General contour detection
  • 13. Feature point tracking
  • 14.HLS Color Filtering
  • 15. Hough circle detection
  • 16. Hough Line Detection
  • 17.HSV color filtering
  • 18.LK optical flow algorithm
  • 19. Human Detection Algorithm
  • 20. Phase-correlated displacement detection
  • 21. Image pyramid sampling algorithm
  • 22.RGB color filtering
  • 23. Clear background detection algorithm
  • 24. Streamlining the optical flow algorithm
  • 25. Simple Filter
  • 26. Threshold Image Processing
  • 27. Watershed segmentation algorithm
3.ROS1-Mediapipe course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall detection
  • 4.Face Mesh
  • 5.Face recognition
  • 6.Face effects
  • 7.Face Detection
  • 8.3D Object Recognition
  • 9.Paintbrush
  • 10.Finger control
  • 11.Gesture Recognition
4.ROS1-Depth camera application course
  • 1. Camera calibration
  • 2. QR code
  • 3. Human Pose Estimation
  • 4. Target detection
  • 5. Point cloud data viewing
  • 6. AR Vision
  • 7.AR QR code tracking
  • 8. Color Tracking
  • 9. Object Tracking
5.ROS1-Linux basic course
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
6.ROS1-OpenCV course
  • 1.Opencv Source CV Introduction
  • 2.Image reading and display
  • 3.Picture writing
  • 4.Picture Quality
  • 5.Pixel Operation
  • 6.Picture scaling
  • 7.Picture cutting
  • 8.Picture translation
  • 9.Picture mirroring
  • 10.Affine transformation
  • 11.Picture rotation
  • 12.Perspective transformation
  • 13.Grayscale processing
  • 14.Image binarization
  • 15.Edge detection
  • 16.Line segment drawing
  • 17.Rectangle and circle drawing
  • 18.Text and picture drawing
7.ROS1 basic course
  • 1.ROS introduction
  • 2.ROS installation
  • 3.ROS common command tools
  • 4.ROS workspace
  • 5.ROS function package
  • 6.ROS node
  • 7.ROS topic publisher
  • 8.ROS topic subscribers
  • 9.ROS service client
  • 10.ROS service server
  • 11.ROS action client
  • 12.ROS action server
  • 13.ROS custom message reception
  • 14.ROS-launch file
  • 15.ROS-TF transformation
  • 16.ROS parameter service
  • 17.ROS-rviz use
  • 18.ROS-rqt tool usage
  • 19.Topic message recording and playback
  • 20.urdf model introduction
  • 21.gazebo introduction
  • 22.ROS distributed communication
8.ROS2-Depth Camera Application Course
  • 1. Use of Depth Camera
  • 2. Camera internal parameter calibration
  • 3. Color tracking
  • 4. KCF Object Tracking
  • 5. ORBSLAM2 Basics
  • 6. ORB_SLAM2 PCL Mapping
  • 7. ORB_SLAM2 Octomap Mapping
9.ROS2-OpenCV course
  • 1. ROS+OpenCV application
  • 2. QR code creation and recognition
  • 3. AR Vision
10.ROS2-Mediapipe course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall detection
  • 4.Face Mess
  • 5.Face recognition
11.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
5.Bracket installation video
  • Bracket installation video
Download
  • ROS1_VM
  • ROS2_VM
  • ROS1_Code
  • ROS2_Code
  • DataSheet
  • 3D_Model_File
  • Windows Software
  • ROS2_Basic_VM
Download ZIP

Welcome to NUWA-HP60C Depth Camera repository

15. Hough circle detection

15. Hough circle detection

15.1、Use

Source code launch file path: /opt/ros/noetic/share/opencv_apps/launch

Step 1: Start the camera

roslaunch ascam_visual opencv_apps.launch img_flip:=false
  • img_flip parameter: whether the image needs to be flipped horizontally, the default is false.

The [usb_cam-test.launch] file opens the [web_video_server] node by default, and you can directly use the [IP:8080] web page to view the image in real time.

Step 2: Start the Hough circle detection function of Opencv_apps

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roslaunch opencv_apps hough_circles.launch # Hough circle detection

Each function case will have a parameter [debug_view], Boolean type, whether to use Opencv to display the image, the default is displayed.

If you don't need to display, set it to [False], for example

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roslaunch opencv_apps hough_circles.launch debug_view:=False

However, after starting in this way, some cases may not be displayed in other ways, because in the source code, some [debug_view] is set to [False], which will turn off image processing.

15.2, Display method

  • rqt_image_view

Enter the following command and select the corresponding topic

xxxxxxxxxx
rqt_image_view
  • opencv

The system displays by default, no processing is required.

  • Web viewing

(Under the same LAN) Enter IP+port in the browser, for example:

xxxxxxxxxx
192.168.2.116:8080

For specific IP, use your current virtual machine IP.

15.3, Effect display

You can see an adjustable window on the screen, and a circle frame detection appears at the same time.

HLS Color Filtering
Hough Line Detection

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