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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
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Welcome to NUWA-HP60C Depth Camera repository

15.ROS2 time related API

15.ROS2 time related API

15.ROS2 time related API

 

1. Introduction to Time-Related APIs

ROS2's time-related APIs include Rate, Time, Duration, and operations on Time and Duration. These are explained below.

  • First, create a function package to store the relevant program files.
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ros2 pkg create learning_time --build-type ament_python --dependencies rclpy

2. create_rate

ROS2 also provides the create_rate function, a tool for controlling loop execution frequency. Its core function is to periodically execute a section of code at a fixed frequency. Rate ensures the stability of the loop execution frequency by controlling the "sleep time" of the loop. Remember that Rate should generally not be used directly in the main thread, as doing so will permanently block callback events. It is generally only used in programs with multi-threaded callbacks or in child threads.

How it works:

  1. Records the start time of each loop;
  2. Executes the code within the loop;
  3. Calculates the difference between the current loop's actual duration and the target interval;
  4. Automatically sleeps for the corresponding difference, ensuring that the interval from the start of one loop to the start of the next strictly equals the target interval (e.g., 100 milliseconds).

While both Rate and Timer can implement periodic execution, their application scenarios differ:

FeaturesRateTimer
ImplementationBased on active sleep within a loop (blocking the current thread)Based on callback functions (non-blocking, triggered by the ROS 2 event loop)
Applicable ScenariosSuitable for loops that need to execute at a fixed frequency within the same thread (such as main control logic)Suitable for periodic tasks that need to execute asynchronously (without blocking the main thread)
FlexibilityDirect control flow within the loop (such as break exit)Callback execution must be controlled using flags or other methods
  • The following is a basic usage of Rate to implement a loop that executes twice per second:
  • Create a new file in the function package called rate_demo.py
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import rclpy
from rclpy.node import Node
import threading
​
class RateExampleNode(Node):
    def __init__(self):
        super().__init__("rate_example_node")
        self.get_logger().info("Rate 示例节点启动")
​
    def run_loop(self):
        # Use the node's create_rate() to create a 2Hz Rate
        rate = self.create_rate(2)
        
        count = 0
        try:
            while rclpy.ok():
                self.get_logger().info(f"循环执行 {count} 次")
                count += 1
                rate.sleep()  # Sleep until the next cycle (0.5 seconds)
        except KeyboardInterrupt:
            self.get_logger().info("循环被中断")
​
def main(args=None):
    rclpy.init(args=args)
    node = RateExampleNode()
    
    # Create a thread run loop (to avoid blocking the main thread)
    loop_thread = threading.Thread(target=node.run_loop)
    loop_thread.start()
    
    # The main thread executes spin to keep the ROS 2 node running
    try:
        rclpy.spin(node)
    except KeyboardInterrupt:
        pass
    finally:
        loop_thread.join()  # Waiting for the thread to end
        node.destroy_node()
        rclpy.shutdown()
​
if __name__ == "__main__":
    main()
    

 

  • Configure the corresponding setup.py configuration file and add it in console_scripts
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'rate_demo=learning_time.rate_demo:main'

image-20250905155834618

 

  • Compile feature package
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colcon build --packages-select learning_time

image-20250905155916058

 

  • Refresh the workspace environment and run the node
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 source ./install/setup.bash
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ros2 run learning_time rate_demo

image-20250905155949678

 

3. Timer Application

  • Timer is used to create a timer that triggers periodic tasks.
  • Example: Create two timers: one that prints the execution count every 1 second, and one that prints the current time every 0.5 seconds.
  • Create a new program file called Timer_demo.py
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import rclpy
from rclpy.node import Node
​
class TimerDemoNode(Node):
    def __init__(self):
        super().__init__('timer_demo_node')
        
        # Counter, used to demonstrate the number of timer executions
        self.counter = 0
        
        # Create a timer: execute the callback function every 1 second
        self.timer = self.create_timer(1.0, self.timer_callback)
        
        # Create a faster timer: execute every 0.5 seconds
        self.fast_timer = self.create_timer(0.5, self.fast_timer_callback)
        
        self.get_logger().info("定时器节点已启动")
​
    def timer_callback(self):
        """1 second timer callback function"""
        self.counter += 1
        current_time = self.get_clock().now()
        
        # Print the current time and counter value
        self.get_logger().info(
            f"[1秒定时器] 第 {self.counter} 次执行,当前时间: {current_time.seconds_nanoseconds()}"
        )
​
    def fast_timer_callback(self):
        """0.5 second timer callback function"""
ROS2 DDS
ROS2 common command tools

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