read_calib_data (Operator) Nameread_calib_data— Restore a calibration data model from a file.Signatureread_calib_data( : : FileName : CalibDataID) DescriptionThe operator read_calib_data restores a calibration data model from a file specified by its FileName and returns a handle to the ...
https://github.com/MMOCKING/manual_calib 备注 本仓库基于 https://github.com/icameling/lidar_camera_calibration/tree/manual_calib 开发。 需要修改config目录下的相机内参。 如果需要微调,可以修改cfg/Locator.cfg文件中的外参初值与上下限。 相机-激光雷达外参标定的空格键图像暂停功能有BUG,可以避免使用。 相...
add readme OpenCalib/LiDAR2INSPublic NotificationsYou must be signed in to change notification settings Fork25 Star147 Code Issues7 Pull requests Actions Projects Security Insights Additional navigation options Commit Browse filesBrowse the repository at this point in the history...
git clone http://10.55.16.230/sangxin/handeye-calib.git cd handeye-calib catkin_make or catkin build 修改base_hand_on_eye_calib.launch文件中,base_handeye_data参数为从机械臂位姿和标定板位姿所在的配置文件所在的绝对目录,可以使用launch文件的find。
read_calib_data— Restore a calibration data model from a file.Signatureread_calib_data( : : FileName : CalibDataID) DescriptionThe operator read_calib_data restores a calibration data model from a file specified by its FileName and returns a handle to the restored model in CalibDataID. ...
2 changes: 1 addition & 1 deletion 2 README.md Original file line numberDiff line numberDiff line change @@ -1,6 +1,6 @@ ## CalibAnything This is a project for LiDAR to camera calibration using Segment Anything. It needs an image, a frame of point cloud and an initial value of...
12 changes: 8 additions & 4 deletions 12 README.md Original file line numberDiff line numberDiff line change @@ -4,9 +4,11 @@ ### 备注 - 本仓库基于https://github.com/icameling/lidar_camera_calibration/tree/manual_calib开发。 - 本仓库基于 https://github.com/icameling/lidar_camera_...
cd ~./auto_calib/ ./bin/run_lidar2imu data/top_center_lidar/ data/NovAtel-pose-lidar-time.txt data/gnss-to-top_center_lidar-extrinsic.json Note: Because the data is relatively large, only part of the data is uploaded, the complete data can be downloaded from the link below. Link (...
$ git clone https://github.com/Natsu-Akatsuki/ARTSCalib --depth=1 $ pip3 install -r requirements.txt # (Optional) To use the data collection UI, additional installation is required:Binary file modified BIN +180 Bytes (100%) docs/_assets/segmentation.png ...
The repository provides code for running inference with the DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation - DiffCalib/README.md at master · zjutcvg/DiffCalib