ROS Index
|
hog_haar_person_detection package from ros-ros2-books repobag_pub learning_Synchronizer learning_action learning_launch learning_plugin learning_service learning_topic parameter rviz_teleop_commander apriltag apriltag_ros darknet_ros darknet_ros_msgs hog_haar_person_detection ros_openpose |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | TODO |
| Build type | CATKIN |
| Use | RECOMMENDED |
Repository Summary
| Description | 从ROS1到ROS2无人机编程实战指南 |
| Checkout URI | https://github.com/lovelyyoshino/ros-ros2-books.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2023-05-22 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- angus
Authors
hog_haar_person_detection
A ROS Indigo package implementing the OpenCV HOG pedestrian detector[1] and HAAR face detector. Subscribes to an image being published, detects faces and standing pedestrians in the image, draws the detections on a copy of the image and publishes results as a rostopic. Also displays detections on an OpenCV window.
Usage
- $ cd [your indigo catkin src folder]
- $ git clone https://github.com/angusleigh/hog_haar_person_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch hog_haar_person_detection hog_haar_person_detection.launch
- Launch your camera node and have it publish to the “image_topic” parameter sepecified in hog_haar_person_detection.launch. Check out the open-ni node for the Kinect or USB-Cam node for USB cameras.
- Detected faces and pedestrians should be published to /person_detection/faces and /person_detection/pedestrians topics.
[1] Link is for GPU documentation. I’m not aware of any documentation for the CPU implementaion (which is the one used for this repo).
Similar packages
Dependant Packages
Launch files
Services
Plugins
Recent questions tagged hog_haar_person_detection at Robotics Stack Exchange
|
|
hog_haar_person_detection package from ros-ros2-books repobag_pub learning_Synchronizer learning_action learning_launch learning_plugin learning_service learning_topic parameter rviz_teleop_commander apriltag apriltag_ros darknet_ros darknet_ros_msgs hog_haar_person_detection ros_openpose |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | TODO |
| Build type | CATKIN |
| Use | RECOMMENDED |
Repository Summary
| Description | 从ROS1到ROS2无人机编程实战指南 |
| Checkout URI | https://github.com/lovelyyoshino/ros-ros2-books.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2023-05-22 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- angus
Authors
hog_haar_person_detection
A ROS Indigo package implementing the OpenCV HOG pedestrian detector[1] and HAAR face detector. Subscribes to an image being published, detects faces and standing pedestrians in the image, draws the detections on a copy of the image and publishes results as a rostopic. Also displays detections on an OpenCV window.
Usage
- $ cd [your indigo catkin src folder]
- $ git clone https://github.com/angusleigh/hog_haar_person_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch hog_haar_person_detection hog_haar_person_detection.launch
- Launch your camera node and have it publish to the “image_topic” parameter sepecified in hog_haar_person_detection.launch. Check out the open-ni node for the Kinect or USB-Cam node for USB cameras.
- Detected faces and pedestrians should be published to /person_detection/faces and /person_detection/pedestrians topics.
[1] Link is for GPU documentation. I’m not aware of any documentation for the CPU implementaion (which is the one used for this repo).
Similar packages
Dependant Packages
Launch files
Services
Plugins
Recent questions tagged hog_haar_person_detection at Robotics Stack Exchange
|
|
hog_haar_person_detection package from ros-ros2-books repobag_pub learning_Synchronizer learning_action learning_launch learning_plugin learning_service learning_topic parameter rviz_teleop_commander apriltag apriltag_ros darknet_ros darknet_ros_msgs hog_haar_person_detection ros_openpose |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | TODO |
| Build type | CATKIN |
| Use | RECOMMENDED |
Repository Summary
| Description | 从ROS1到ROS2无人机编程实战指南 |
| Checkout URI | https://github.com/lovelyyoshino/ros-ros2-books.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2023-05-22 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- angus
Authors
hog_haar_person_detection
A ROS Indigo package implementing the OpenCV HOG pedestrian detector[1] and HAAR face detector. Subscribes to an image being published, detects faces and standing pedestrians in the image, draws the detections on a copy of the image and publishes results as a rostopic. Also displays detections on an OpenCV window.
Usage
- $ cd [your indigo catkin src folder]
- $ git clone https://github.com/angusleigh/hog_haar_person_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch hog_haar_person_detection hog_haar_person_detection.launch
- Launch your camera node and have it publish to the “image_topic” parameter sepecified in hog_haar_person_detection.launch. Check out the open-ni node for the Kinect or USB-Cam node for USB cameras.
- Detected faces and pedestrians should be published to /person_detection/faces and /person_detection/pedestrians topics.
[1] Link is for GPU documentation. I’m not aware of any documentation for the CPU implementaion (which is the one used for this repo).
Similar packages
Dependant Packages
Launch files
Services
Plugins
Recent questions tagged hog_haar_person_detection at Robotics Stack Exchange
|
|
hog_haar_person_detection package from ros-ros2-books repobag_pub learning_Synchronizer learning_action learning_launch learning_plugin learning_service learning_topic parameter rviz_teleop_commander apriltag apriltag_ros darknet_ros darknet_ros_msgs hog_haar_person_detection ros_openpose |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | TODO |
| Build type | CATKIN |
| Use | RECOMMENDED |
Repository Summary
| Description | 从ROS1到ROS2无人机编程实战指南 |
| Checkout URI | https://github.com/lovelyyoshino/ros-ros2-books.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2023-05-22 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- angus
Authors
hog_haar_person_detection
A ROS Indigo package implementing the OpenCV HOG pedestrian detector[1] and HAAR face detector. Subscribes to an image being published, detects faces and standing pedestrians in the image, draws the detections on a copy of the image and publishes results as a rostopic. Also displays detections on an OpenCV window.
Usage
- $ cd [your indigo catkin src folder]
- $ git clone https://github.com/angusleigh/hog_haar_person_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch hog_haar_person_detection hog_haar_person_detection.launch
- Launch your camera node and have it publish to the “image_topic” parameter sepecified in hog_haar_person_detection.launch. Check out the open-ni node for the Kinect or USB-Cam node for USB cameras.
- Detected faces and pedestrians should be published to /person_detection/faces and /person_detection/pedestrians topics.
[1] Link is for GPU documentation. I’m not aware of any documentation for the CPU implementaion (which is the one used for this repo).
Similar packages
Dependant Packages
Launch files
Services
Plugins
Recent questions tagged hog_haar_person_detection at Robotics Stack Exchange
|
|
hog_haar_person_detection package from ros-ros2-books repobag_pub learning_Synchronizer learning_action learning_launch learning_plugin learning_service learning_topic parameter rviz_teleop_commander apriltag apriltag_ros darknet_ros darknet_ros_msgs hog_haar_person_detection ros_openpose |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | TODO |
| Build type | CATKIN |
| Use | RECOMMENDED |
Repository Summary
| Description | 从ROS1到ROS2无人机编程实战指南 |
| Checkout URI | https://github.com/lovelyyoshino/ros-ros2-books.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2023-05-22 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- angus
Authors
hog_haar_person_detection
A ROS Indigo package implementing the OpenCV HOG pedestrian detector[1] and HAAR face detector. Subscribes to an image being published, detects faces and standing pedestrians in the image, draws the detections on a copy of the image and publishes results as a rostopic. Also displays detections on an OpenCV window.
Usage
- $ cd [your indigo catkin src folder]
- $ git clone https://github.com/angusleigh/hog_haar_person_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch hog_haar_person_detection hog_haar_person_detection.launch
- Launch your camera node and have it publish to the “image_topic” parameter sepecified in hog_haar_person_detection.launch. Check out the open-ni node for the Kinect or USB-Cam node for USB cameras.
- Detected faces and pedestrians should be published to /person_detection/faces and /person_detection/pedestrians topics.
[1] Link is for GPU documentation. I’m not aware of any documentation for the CPU implementaion (which is the one used for this repo).
Similar packages
Dependant Packages
Launch files
Services
Plugins
Recent questions tagged hog_haar_person_detection at Robotics Stack Exchange
|
|
hog_haar_person_detection package from ros-ros2-books repobag_pub learning_Synchronizer learning_action learning_launch learning_plugin learning_service learning_topic parameter rviz_teleop_commander apriltag apriltag_ros darknet_ros darknet_ros_msgs hog_haar_person_detection ros_openpose |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | TODO |
| Build type | CATKIN |
| Use | RECOMMENDED |
Repository Summary
| Description | 从ROS1到ROS2无人机编程实战指南 |
| Checkout URI | https://github.com/lovelyyoshino/ros-ros2-books.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2023-05-22 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- angus
Authors
hog_haar_person_detection
A ROS Indigo package implementing the OpenCV HOG pedestrian detector[1] and HAAR face detector. Subscribes to an image being published, detects faces and standing pedestrians in the image, draws the detections on a copy of the image and publishes results as a rostopic. Also displays detections on an OpenCV window.
Usage
- $ cd [your indigo catkin src folder]
- $ git clone https://github.com/angusleigh/hog_haar_person_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch hog_haar_person_detection hog_haar_person_detection.launch
- Launch your camera node and have it publish to the “image_topic” parameter sepecified in hog_haar_person_detection.launch. Check out the open-ni node for the Kinect or USB-Cam node for USB cameras.
- Detected faces and pedestrians should be published to /person_detection/faces and /person_detection/pedestrians topics.
[1] Link is for GPU documentation. I’m not aware of any documentation for the CPU implementaion (which is the one used for this repo).
Similar packages
Dependant Packages
Launch files
Services
Plugins
Recent questions tagged hog_haar_person_detection at Robotics Stack Exchange
|
|
hog_haar_person_detection package from ros-ros2-books repobag_pub learning_Synchronizer learning_action learning_launch learning_plugin learning_service learning_topic parameter rviz_teleop_commander apriltag apriltag_ros darknet_ros darknet_ros_msgs hog_haar_person_detection ros_openpose |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | TODO |
| Build type | CATKIN |
| Use | RECOMMENDED |
Repository Summary
| Description | 从ROS1到ROS2无人机编程实战指南 |
| Checkout URI | https://github.com/lovelyyoshino/ros-ros2-books.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2023-05-22 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- angus
Authors
hog_haar_person_detection
A ROS Indigo package implementing the OpenCV HOG pedestrian detector[1] and HAAR face detector. Subscribes to an image being published, detects faces and standing pedestrians in the image, draws the detections on a copy of the image and publishes results as a rostopic. Also displays detections on an OpenCV window.
Usage
- $ cd [your indigo catkin src folder]
- $ git clone https://github.com/angusleigh/hog_haar_person_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch hog_haar_person_detection hog_haar_person_detection.launch
- Launch your camera node and have it publish to the “image_topic” parameter sepecified in hog_haar_person_detection.launch. Check out the open-ni node for the Kinect or USB-Cam node for USB cameras.
- Detected faces and pedestrians should be published to /person_detection/faces and /person_detection/pedestrians topics.
[1] Link is for GPU documentation. I’m not aware of any documentation for the CPU implementaion (which is the one used for this repo).
Similar packages
Dependant Packages
Launch files
Services
Plugins
Recent questions tagged hog_haar_person_detection at Robotics Stack Exchange
|
|
hog_haar_person_detection package from ros-ros2-books repobag_pub learning_Synchronizer learning_action learning_launch learning_plugin learning_service learning_topic parameter rviz_teleop_commander apriltag apriltag_ros darknet_ros darknet_ros_msgs hog_haar_person_detection ros_openpose |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | TODO |
| Build type | CATKIN |
| Use | RECOMMENDED |
Repository Summary
| Description | 从ROS1到ROS2无人机编程实战指南 |
| Checkout URI | https://github.com/lovelyyoshino/ros-ros2-books.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2023-05-22 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- angus
Authors
hog_haar_person_detection
A ROS Indigo package implementing the OpenCV HOG pedestrian detector[1] and HAAR face detector. Subscribes to an image being published, detects faces and standing pedestrians in the image, draws the detections on a copy of the image and publishes results as a rostopic. Also displays detections on an OpenCV window.
Usage
- $ cd [your indigo catkin src folder]
- $ git clone https://github.com/angusleigh/hog_haar_person_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch hog_haar_person_detection hog_haar_person_detection.launch
- Launch your camera node and have it publish to the “image_topic” parameter sepecified in hog_haar_person_detection.launch. Check out the open-ni node for the Kinect or USB-Cam node for USB cameras.
- Detected faces and pedestrians should be published to /person_detection/faces and /person_detection/pedestrians topics.
[1] Link is for GPU documentation. I’m not aware of any documentation for the CPU implementaion (which is the one used for this repo).
Similar packages
Dependant Packages
Launch files
Services
Plugins
Recent questions tagged hog_haar_person_detection at Robotics Stack Exchange
|
|
hog_haar_person_detection package from ros-ros2-books repobag_pub learning_Synchronizer learning_action learning_launch learning_plugin learning_service learning_topic parameter rviz_teleop_commander apriltag apriltag_ros darknet_ros darknet_ros_msgs hog_haar_person_detection ros_openpose |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | TODO |
| Build type | CATKIN |
| Use | RECOMMENDED |
Repository Summary
| Description | 从ROS1到ROS2无人机编程实战指南 |
| Checkout URI | https://github.com/lovelyyoshino/ros-ros2-books.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2023-05-22 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- angus
Authors
hog_haar_person_detection
A ROS Indigo package implementing the OpenCV HOG pedestrian detector[1] and HAAR face detector. Subscribes to an image being published, detects faces and standing pedestrians in the image, draws the detections on a copy of the image and publishes results as a rostopic. Also displays detections on an OpenCV window.
Usage
- $ cd [your indigo catkin src folder]
- $ git clone https://github.com/angusleigh/hog_haar_person_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch hog_haar_person_detection hog_haar_person_detection.launch
- Launch your camera node and have it publish to the “image_topic” parameter sepecified in hog_haar_person_detection.launch. Check out the open-ni node for the Kinect or USB-Cam node for USB cameras.
- Detected faces and pedestrians should be published to /person_detection/faces and /person_detection/pedestrians topics.
[1] Link is for GPU documentation. I’m not aware of any documentation for the CPU implementaion (which is the one used for this repo).