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hivecore_robot_vision/README.md
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# hivecore_robot_vision
#### 安装教程
1. Gemini SDK:
> 安装 deb 依赖项:
```
# ssume you have sourced ROS environment, same blow
sudo apt install libgflags-dev nlohmann-json3-dev \
ros-$ROS_DISTRO-image-transport ros-${ROS_DISTRO}-image-transport-plugins ros-${ROS_DISTRO}-compressed-image-transport \
ros-$ROS_DISTRO-image-publisher ros-$ROS_DISTRO-camera-info-manager \
ros-$ROS_DISTRO-diagnostic-updater ros-$ROS_DISTRO-diagnostic-msgs ros-$ROS_DISTRO-statistics-msgs \
ros-$ROS_DISTRO-backward-ros libdw-dev
```
> 安装 udev 规则
```
cd ~/workspace/src/orbbec_camera/scripts
sudo bash install_udev_rules.sh
sudo udevadm control --reload-rules && sudo udevadm trigger
```
2. RealSense SDK:
```
sudo apt install ros-humble-librealsense2*
```
3. Dependency:
```
"idge=3.2.1"
"numpy>=1.23.0, <2.0.0",
"matplotlib>=3.3.0",
"opencv-python>=4.6.0",
"pillow>=7.1.2",
"pyyaml>=5.3.1",
"requests>=2.23.0",
"scipy>=1.4.1",
"torch>=2.7.1",
"torch>=1.8.0,!=2.4.0; sys_platform == 'win32'",
"torchvision>=0.9.0",
"tqdm>=4.64.0",
"psutil",
"py-cpuinfo",
"pandas>=1.1.4",
"open3d",
```
#### 使用说明
1. 启动相机和检测节点:
ros2 launch detect_part camera_detect.launch.py
> camera_detect.launch.py 中可以修改部分参数:set_confidence, output_boxes, output_masks, checkpoint_name
> 坐标系设置为Z为图像深度XY平面为图像成象平面
2. 接收位置话题节点:
ros2 run detect_part sub_pose_node
3. 位置话题接口:
interface/msg/PoseWithID.msg, PoseWithIDArray.msg
4. 话题名称:
/pose/cv_detect_pose # 位置
/image/detect_image # 目标识别图片
5. PoseWithID.msg
string class_name
int32 class_id
geometry_msgs/Pose[] pose_list
6. PoseWithIDArray.msg
PoseWithID[] objects