Displaying 1 to 15 from 15 results

mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.

  •    Python

News: We released the codebase v0.14.0. In the recent nuScenes 3D detection challenge of the 5th AI Driving Olympics in NeurIPS 2020, we obtained the best PKL award and the second runner-up by multi-modality entry, and the best vision-only results.

Det3D - A general 3D object detection codebse.

  •    Python

A general 3D Object Detection codebase in PyTorch. Please refer to INSTALATION.md.




3d-bat - 3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

  •    Javascript

1. Step: draw bounding box in the camera image 2. Step: choose current bounding box by activating it 3. Step: You can move it in image space or even change its size by drag and droping 4. Step: Switch into PCD MODE into birds-eye-view 5. Step: Place 3D label into 3D scene to corresponding 2D label 6. Step: Adjust label: 1. drag and dropping directly on label to change position or size 2. use control bar to change position and size (horizontal bar -> rough adjustment, vertical bar -> fine adjustment) 3. Go into camera view to check label with higher intensity and bigger point size 7. Step: Choose label from drop down list 8. Step: Repeat steps 1-7 for all objects in the scene 9. Step: Save labels into file 10. Step: Click on 'HOLD' button if you want to keep the same label positions and sizes 11. Step: click on 'Next camera image'

alfred - alfred-py: A deep learning utility library for visualization and sensor fusion purpose

  •    Python

Alfred is command line tool for deep-learning usage. if you want split an video into image frames or combine frames into a single video, then alfred is what you want. it's built for AI.

Awesome-Autonomous-Driving-Papers - This repository provides awesome research papers for autonomous driving perception

  •    

This repository provides awesome research papers for autonomous driving perception. I have tried my best to keep this repository up to date. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.


RTM3D - Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

  •    Python

Generate heatmap for the center and vertexes of objects as the CenterNet paper. If you want to use the strategy from RTM3D paper, you can pass the dynamic-sigma argument to the train.py script. Download the 3D KITTI detection dataset from here.

monstereo - MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images

  •    Python

MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images. PyTorch Official Implementation.

bat-3d - 3D Bounding Box Annotation Tool 2

  •    Javascript

1. Step: draw bounding box in the camera image 2. Step: choose current bounding box by activating it 3. Step: You can move it in image space or even change its size by drag and droping 4. Step: Switch into PCD MODE into birds-eye-view 5. Step: Place 3D label into 3D scene to corresponding 2D label 6. Step: Adjust label: 1. drag and dropping directly on label to change position or size 2. use control bar to change position and size (horizontal bar -> rough adjustment, vertical bar -> fine adjustment) 3. Go into camera view to check label with higher intensity and bigger point size 7. Step: Choose label from drop down list 8. Step: Repeat steps 1-7 for all objects in the scene 9. Step: Save labels into file 10. Step: Click on 'HOLD' button if you want to keep the same label positions and sizes 11. Step: click on 'Next camera image'






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