Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
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Web labeling tool for bitmap images and point clouds
- labeling-tool
- machine-learning
- manual-annotations
- semantic-segmentation
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
- 3d-object-detection
- lidar-point-cloud
- bevmap
- center
TranslatedImage-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser. Image-driven 3D scene generation system
- 3d
- gaussian-filter
- gaussian-splatting
My awesome point cloud labeling tool
- semantickitti
- velodyne
- point-clouds
- labeling
Pytorch framework for doing deep learning on point clouds.
Integrates AI tools into Microsoft Word
- ai
- generative-ai
- microsoft-word
- office-addin
A graphical user interface to annotate point clouds and 3D data.
- point-cloud
- lidar
- computer-vision
- cpp