Deeplidar
LIDAR and RGB Deep Learning Model for Individual Tree Segmentation
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Superpoint_graph | 691 | 9 months ago | 14 | mit | Python | |||||
| Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs | ||||||||||
| Sparse Depth Completion | 372 | 2 years ago | 1 | other | Python | |||||
| Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) | ||||||||||
| Auto Depth | 64 | 2 years ago | 3 | Python | ||||||
| 3D Reconstruction / Pseudo LiDAR via Deep Learning | ||||||||||
| Neontreeevaluation | 59 | 2 years ago | 1 | cc0-1.0 | Python | |||||
| Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery | ||||||||||
| Deeplidar | 48 | 3 months ago | Python | |||||||
| LIDAR and RGB Deep Learning Model for Individual Tree Segmentation | ||||||||||
| Dfusenet | 47 | 4 years ago | 1 | gpl-3.0 | Python | |||||
| ITSC 2019 | This is the accompanying code repository for our paper "DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion" | PyTorch, Python 3 | ||||||||||
| Frustum Pointpillars | 17 | 2 years ago | 4 | mit | Python | |||||
| Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR | ||||||||||
| Lidar_rgb_detector | 14 | 4 years ago | mit | Python | ||||||
| Camera_lidar_fusion | 12 | 5 years ago | 1 | Python | ||||||
| Calibrate camera to lidar | ||||||||||
| Deeplidar | 11 | 3 years ago | 1 | Python | ||||||
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Python
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