#readme
In order to calibrate multi sensor, you need to check whethere the result(Extrinsic Parameter) is correct or not. And, It is much more convenience in headless env. This projection is for that case. You can employ this project when you make your 2D/3D result visualize. All you need is just jupyter-notebook.
- python 3.7 or up
- Opencv 3.4 or up
- Open3D 0.15 (lastest realease)
- open3D
# Install
pip install open3d
# Verify installation
python -c "import open3d as o3d; print(o3d.__version__)"
# Python API
python -c "import open3d as o3d; \
mesh = o3d.geometry.TriangleMesh.create_sphere(); \
mesh.compute_vertex_normals(); \
o3d.visualization.draw(mesh, raw_mode=True)"
# Open3D CLI
open3d example visualization/draw
- Kitti
lidar_path = '(YOUR KITTI LIDAR FILE PATH)/(FILE NAME).bin'
img_path = '(YOUR KITTI IMG FILE PATH)/(FILE NAME)'
v2c_filepath = '(YOUR KITTI CALIB FILE PATH)/calib_velo_to_cam.txt'
c2c_filepath = '(YOUR KITTI CALIB FILE PATH)/calib_cam_to_cam.txt'
- Kitti 360
lidar_path = '(YOUR KITTI360 LIDAR FILE PATH)/(FILE NAME).bin'
img_path = '(YOUR KITTI360 LIDAR FILE PATH)/(FILE NAME)'
v2c_filepath = '(YOUR KITTI360 LIDAR FILE PATH)/calib_cam_to_velo.txt'
c2c_filepath = '(YOUR KITTI360 LIDAR FILE PATH)/perspective.txt'
- Open3D
TODO
- Kitti
Download link : Kitti
- Kitti 360
Download link : Kitti
- Open3D
- Eunsoo Im - eslim@superb-ai.com
- sensor fusion | 3D vision engineer in Superb-AI co.
See also the list of contributors who participated in this project.
MIT License
Copyright (c) 2022 voda
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The above copyright notice and this permission notice shall be included in all
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SOFTWARE.