Repository Summary
Checkout URI | https://github.com/introlab/find-object.git |
VCS Type | git |
VCS Version | humble-devel |
Last Updated | 2022-12-12 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
find_object_2d | 0.7.0 |
README
find-object
Linux |
|
Windows |
Standalone
Find-Object project, visit the home page for more information.
ROS1
Install
Binaries:
sudo apt-get install ros-$ROS_DISTRO-find-object-2d
Source:
- To include
xfeatures2d
and/ornonfree
modules of OpenCV, to avoid conflicts withcv_bridge
, build same OpenCV version that is used bycv_bridge
. Install it in/usr/local
(default).
cd ~/catkin_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
catkin_make
Run
roscore
# Launch your preferred usb camera driver
rosrun uvc_camera uvc_camera_node
rosrun find_object_2d find_object_2d image:=image_raw
See find_object_2d for more information.
ROS2
Install
Binaries:
To come...
Source:
cd ~/ros2_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
colcon build
Run
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_2d.launch.py image:=/camera/color/image_raw
# Draw objects detected on an image:
ros2 run find_object_2d print_objects_detected --ros-args -r image:=/camera/color/image_raw
3D Pose (TF)
A RGB-D camera is required. Example with Realsense D400 camera:
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py align_depth.enable:=true
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_3d.launch.py \
rgb_topic:=/camera/color/image_raw \
depth_topic:=/camera/aligned_depth_to_color/image_raw \
camera_info_topic:=/camera/color/camera_info
# Show 3D pose in camera frame:
ros2 run find_object_2d tf_example
See find_object_2d for more information (same parameters/topics are used between ROS1 and ROS2 versions).
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/introlab/find-object.git |
VCS Type | git |
VCS Version | rolling-devel |
Last Updated | 2024-06-27 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
find_object_2d | 0.7.1 |
README
find-object
Linux |
|
Windows |
Standalone
Find-Object project, visit the home page for more information.
ROS1
Install
Binaries:
sudo apt-get install ros-$ROS_DISTRO-find-object-2d
Source:
- To include
xfeatures2d
and/ornonfree
modules of OpenCV, to avoid conflicts withcv_bridge
, build same OpenCV version that is used bycv_bridge
. Install it in/usr/local
(default).
cd ~/catkin_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
catkin_make
Run
roscore
# Launch your preferred usb camera driver
rosrun uvc_camera uvc_camera_node
rosrun find_object_2d find_object_2d image:=image_raw
See find_object_2d for more information.
ROS2
Install
Binaries:
To come...
Source:
cd ~/ros2_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
colcon build
Run
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_2d.launch.py image:=/camera/color/image_raw
# Draw objects detected on an image:
ros2 run find_object_2d print_objects_detected --ros-args -r image:=/camera/color/image_raw
3D Pose (TF)
A RGB-D camera is required. Example with Realsense D400 camera:
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py align_depth.enable:=true
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_3d.launch.py \
rgb_topic:=/camera/color/image_raw \
depth_topic:=/camera/aligned_depth_to_color/image_raw \
camera_info_topic:=/camera/color/camera_info
# Show 3D pose in camera frame:
ros2 run find_object_2d tf_example
See find_object_2d for more information (same parameters/topics are used between ROS1 and ROS2 versions).
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/introlab/find-object.git |
VCS Type | git |
VCS Version | rolling-devel |
Last Updated | 2024-06-27 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
find_object_2d | 0.7.1 |
README
find-object
Linux |
|
Windows |
Standalone
Find-Object project, visit the home page for more information.
ROS1
Install
Binaries:
sudo apt-get install ros-$ROS_DISTRO-find-object-2d
Source:
- To include
xfeatures2d
and/ornonfree
modules of OpenCV, to avoid conflicts withcv_bridge
, build same OpenCV version that is used bycv_bridge
. Install it in/usr/local
(default).
cd ~/catkin_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
catkin_make
Run
roscore
# Launch your preferred usb camera driver
rosrun uvc_camera uvc_camera_node
rosrun find_object_2d find_object_2d image:=image_raw
See find_object_2d for more information.
ROS2
Install
Binaries:
To come...
Source:
cd ~/ros2_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
colcon build
Run
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_2d.launch.py image:=/camera/color/image_raw
# Draw objects detected on an image:
ros2 run find_object_2d print_objects_detected --ros-args -r image:=/camera/color/image_raw
3D Pose (TF)
A RGB-D camera is required. Example with Realsense D400 camera:
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py align_depth.enable:=true
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_3d.launch.py \
rgb_topic:=/camera/color/image_raw \
depth_topic:=/camera/aligned_depth_to_color/image_raw \
camera_info_topic:=/camera/color/camera_info
# Show 3D pose in camera frame:
ros2 run find_object_2d tf_example
See find_object_2d for more information (same parameters/topics are used between ROS1 and ROS2 versions).
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/introlab/find-object.git |
VCS Type | git |
VCS Version | rolling-devel |
Last Updated | 2024-06-27 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
find_object_2d | 0.7.1 |
README
find-object
Linux |
|
Windows |
Standalone
Find-Object project, visit the home page for more information.
ROS1
Install
Binaries:
sudo apt-get install ros-$ROS_DISTRO-find-object-2d
Source:
- To include
xfeatures2d
and/ornonfree
modules of OpenCV, to avoid conflicts withcv_bridge
, build same OpenCV version that is used bycv_bridge
. Install it in/usr/local
(default).
cd ~/catkin_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
catkin_make
Run
roscore
# Launch your preferred usb camera driver
rosrun uvc_camera uvc_camera_node
rosrun find_object_2d find_object_2d image:=image_raw
See find_object_2d for more information.
ROS2
Install
Binaries:
To come...
Source:
cd ~/ros2_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
colcon build
Run
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_2d.launch.py image:=/camera/color/image_raw
# Draw objects detected on an image:
ros2 run find_object_2d print_objects_detected --ros-args -r image:=/camera/color/image_raw
3D Pose (TF)
A RGB-D camera is required. Example with Realsense D400 camera:
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py align_depth.enable:=true
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_3d.launch.py \
rgb_topic:=/camera/color/image_raw \
depth_topic:=/camera/aligned_depth_to_color/image_raw \
camera_info_topic:=/camera/color/camera_info
# Show 3D pose in camera frame:
ros2 run find_object_2d tf_example
See find_object_2d for more information (same parameters/topics are used between ROS1 and ROS2 versions).
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/introlab/find-object.git |
VCS Type | git |
VCS Version | noetic-devel |
Last Updated | 2022-12-11 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
find_object_2d | 0.7.0 |
README
find-object
Linux |
|
Windows |
Standalone
Find-Object project, visit the home page for more information.
ROS1
Install
Binaries:
sudo apt-get install ros-$ROS_DISTRO-find-object-2d
Source:
- To include
xfeatures2d
and/ornonfree
modules of OpenCV, to avoid conflicts withcv_bridge
, build same OpenCV version that is used bycv_bridge
. Install it in/usr/local
(default).
cd ~/catkin_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
catkin_make
Run
roscore
# Launch your preferred usb camera driver
rosrun uvc_camera uvc_camera_node
rosrun find_object_2d find_object_2d image:=image_raw
See find_object_2d for more information.
ROS2
Install
Binaries:
To come...
Source:
cd ~/ros2_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
colcon build
Run
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_2d.launch.py image:=/camera/color/image_raw
# Draw objects detected on an image:
ros2 run find_object_2d print_objects_detected --ros-args -r image:=/camera/color/image_raw
3D Pose (TF)
A RGB-D camera is required. Example with Realsense D400 camera:
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py align_depth.enable:=true
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_3d.launch.py \
rgb_topic:=/camera/color/image_raw \
depth_topic:=/camera/aligned_depth_to_color/image_raw \
camera_info_topic:=/camera/color/camera_info
# Show 3D pose in camera frame:
ros2 run find_object_2d tf_example
See find_object_2d for more information (same parameters/topics are used between ROS1 and ROS2 versions).
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/introlab/find-object.git |
VCS Type | git |
VCS Version | foxy-devel |
Last Updated | 2022-12-12 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
find_object_2d | 0.7.0 |
README
find-object
Linux |
|
Windows |
Standalone
Find-Object project, visit the home page for more information.
ROS1
Install
Binaries:
sudo apt-get install ros-$ROS_DISTRO-find-object-2d
Source:
- To include
xfeatures2d
and/ornonfree
modules of OpenCV, to avoid conflicts withcv_bridge
, build same OpenCV version that is used bycv_bridge
. Install it in/usr/local
(default).
cd ~/catkin_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
catkin_make
Run
roscore
# Launch your preferred usb camera driver
rosrun uvc_camera uvc_camera_node
rosrun find_object_2d find_object_2d image:=image_raw
See find_object_2d for more information.
ROS2
Install
Binaries:
To come...
Source:
cd ~/ros2_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
colcon build
Run
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_2d.launch.py image:=/camera/color/image_raw
# Draw objects detected on an image:
ros2 run find_object_2d print_objects_detected --ros-args -r image:=/camera/color/image_raw
3D Pose (TF)
A RGB-D camera is required. Example with Realsense D400 camera:
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py align_depth.enable:=true
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_3d.launch.py \
rgb_topic:=/camera/color/image_raw \
depth_topic:=/camera/aligned_depth_to_color/image_raw \
camera_info_topic:=/camera/color/camera_info
# Show 3D pose in camera frame:
ros2 run find_object_2d tf_example
See find_object_2d for more information (same parameters/topics are used between ROS1 and ROS2 versions).
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/introlab/find-object.git |
VCS Type | git |
VCS Version | lunar-devel |
Last Updated | 2017-11-07 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
find_object_2d | 0.6.2 |
README
find-object (standalone)
Find-Object project, visit the home page for more information.
find_object_2d (ROS package)
Install
Binaries:
# ROS Kinetic:
$ sudo apt-get install ros-kinetic-find-object-2d
# ROS Jade:
$ sudo apt-get install ros-jade-find-object-2d
# ROS Indigo:
$ sudo apt-get install ros-indigo-find-object-2d
# ROS Hydro:
$ sudo apt-get install ros-hydro-find-object-2d
Source:
-
If you want SURF/SIFT on Indigo/Jade/Kinetic (Hydro has already SIFT/SURF), you have to build OpenCV from source to have access to nonfree module. Install it in
/usr/local
(default) and the Find-Object should link with it instead of the one installed in ROS.- On Indigo/Jade, I recommend to use latest 2.4 version (2.4.11) and build it from source following these instructions. Find-Object can build with OpenCV3+xfeatures2d module, but find_object_2d package will have libraries conflict as cv-bridge is depending on OpenCV2. If you want OpenCV3, you should build ros vision-opencv package yourself (and all ros packages depending on it) so it can link on OpenCV3.
- On Kinetic, I recommend to use OpenCV3+xfeatures2d module (to confirm OpenCV3 installed with ROS already includes SIFT/SURF, so no need to rebuild OpenCV). You can also install OpenCV2, but find_object_2d package will have libraries conflict as cv-bridge is depending on OpenCV3. Thus if you want OpenCV2 on Kinetic, you should build ros vision-opencv package yourself (and all ros packages depending on it) so it can link on OpenCV2.
# Install ROS Groovy/Hydro/Indigo/Jade/Kinetic (catkin build):
$ cd ~/catkin_ws
$ git clone https://github.com/introlab/find-object.git src/find_object_2d
$ catkin_make
# Install ROS Fuerte (in a directory of your "ROS_PACKAGE_PATH"):
$ svn checkout -r176 http://find-object.googlecode.com/svn/trunk/ros-pkg/find_object_2d
$ rosmake find_object_2d
Run
$ roscore &
# Launch your preferred usb camera driver
$ rosrun uvc_camera uvc_camera_node &
$ rosrun find_object_2d find_object_2d image:=image_raw
See find_object_2d for more information.
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/introlab/find-object.git |
VCS Type | git |
VCS Version | kinetic-devel |
Last Updated | 2017-11-07 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
find_object_2d | 0.6.2 |
README
find-object (standalone)
Find-Object project, visit the home page for more information.
find_object_2d (ROS package)
Install
Binaries:
# ROS Kinetic:
$ sudo apt-get install ros-kinetic-find-object-2d
# ROS Jade:
$ sudo apt-get install ros-jade-find-object-2d
# ROS Indigo:
$ sudo apt-get install ros-indigo-find-object-2d
# ROS Hydro:
$ sudo apt-get install ros-hydro-find-object-2d
Source:
-
If you want SURF/SIFT on Indigo/Jade/Kinetic (Hydro has already SIFT/SURF), you have to build OpenCV from source to have access to nonfree module. Install it in
/usr/local
(default) and the Find-Object should link with it instead of the one installed in ROS.- On Indigo/Jade, I recommend to use latest 2.4 version (2.4.11) and build it from source following these instructions. Find-Object can build with OpenCV3+xfeatures2d module, but find_object_2d package will have libraries conflict as cv-bridge is depending on OpenCV2. If you want OpenCV3, you should build ros vision-opencv package yourself (and all ros packages depending on it) so it can link on OpenCV3.
- On Kinetic, I recommend to use OpenCV3+xfeatures2d module (to confirm OpenCV3 installed with ROS already includes SIFT/SURF, so no need to rebuild OpenCV). You can also install OpenCV2, but find_object_2d package will have libraries conflict as cv-bridge is depending on OpenCV3. Thus if you want OpenCV2 on Kinetic, you should build ros vision-opencv package yourself (and all ros packages depending on it) so it can link on OpenCV2.
# Install ROS Groovy/Hydro/Indigo/Jade/Kinetic (catkin build):
$ cd ~/catkin_ws
$ git clone https://github.com/introlab/find-object.git src/find_object_2d
$ catkin_make
# Install ROS Fuerte (in a directory of your "ROS_PACKAGE_PATH"):
$ svn checkout -r176 http://find-object.googlecode.com/svn/trunk/ros-pkg/find_object_2d
$ rosmake find_object_2d
Run
$ roscore &
# Launch your preferred usb camera driver
$ rosrun uvc_camera uvc_camera_node &
$ rosrun find_object_2d find_object_2d image:=image_raw
See find_object_2d for more information.
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/introlab/find-object.git |
VCS Type | git |
VCS Version | melodic-devel |
Last Updated | 2022-12-11 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
find_object_2d | 0.7.0 |
README
find-object
Linux |
|
Windows |
Standalone
Find-Object project, visit the home page for more information.
ROS1
Install
Binaries:
sudo apt-get install ros-$ROS_DISTRO-find-object-2d
Source:
- To include
xfeatures2d
and/ornonfree
modules of OpenCV, to avoid conflicts withcv_bridge
, build same OpenCV version that is used bycv_bridge
. Install it in/usr/local
(default).
cd ~/catkin_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
catkin_make
Run
roscore
# Launch your preferred usb camera driver
rosrun uvc_camera uvc_camera_node
rosrun find_object_2d find_object_2d image:=image_raw
See find_object_2d for more information.
ROS2
Install
Binaries:
To come...
Source:
cd ~/ros2_ws
git clone https://github.com/introlab/find-object.git src/find_object_2d
colcon build
Run
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_2d.launch.py image:=/camera/color/image_raw
# Draw objects detected on an image:
ros2 run find_object_2d print_objects_detected --ros-args -r image:=/camera/color/image_raw
3D Pose (TF)
A RGB-D camera is required. Example with Realsense D400 camera:
# Launch your preferred usb camera driver
ros2 launch realsense2_camera rs_launch.py align_depth.enable:=true
# Launch find_object_2d node:
ros2 launch find_object_2d find_object_3d.launch.py \
rgb_topic:=/camera/color/image_raw \
depth_topic:=/camera/aligned_depth_to_color/image_raw \
camera_info_topic:=/camera/color/camera_info
# Show 3D pose in camera frame:
ros2 run find_object_2d tf_example
See find_object_2d for more information (same parameters/topics are used between ROS1 and ROS2 versions).