nuscenes-devkit
The devkit of the nuScenes dataset. (by nutonomy)
painting
Implementation of PointPainting (by rshilliday)
| nuscenes-devkit | painting | |
|---|---|---|
| 4 | 3 | |
| 2,128 | 51 | |
| 2.7% | - | |
| 5.1 | 4.0 | |
| 18 days ago | about 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nuscenes-devkit
Posts with mentions or reviews of nuscenes-devkit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-01.
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Projecting Pointcloud/depth into RGB image (instead of giving color to a pointcloud)
This code might be helpful: https://github.com/nutonomy/nuscenes-devkit/blob/57889ff20678577025326cfc24e57424a829be0a/python-sdk/nuscenes/nuscenes.py#L863
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Teaching cars to see at scale - Computer Vision at Motional - Dr. Holger Caesar (Author of nuScenes and COCO-Stuff datasets) - Link to zoom lecture by the author in comments
nuScenes: A multimodal dataset for autonomous driving (CVPR 2020) arxiv: https://arxiv.org/abs/1903.11027 git: https://github.com/nutonomy/nuscenes-devkit
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Community mingling live event, autonomous driving lecture, job opening, meet the member and more (Announcements 04.03.2021)
nuScenes: A multimodal dataset for autonomous driving (CVPR 2020) - git
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[R] Teaching cars to see at scale - Dr. Holger Caesar (Author of nuScenes and COCO-Stuff datasets) - Link to zoom lecture by the author in comments
nuScenes: A multimodal dataset for autonomous driving (CVPR 2020) arxiv: https://arxiv.org/abs/1903.11027 git: https://github.com/nutonomy/nuscenes-devkit
painting
Posts with mentions or reviews of painting.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-08.
-
Teaching cars to see at scale - Computer Vision at Motional - Dr. Holger Caesar (Author of nuScenes and COCO-Stuff datasets) - Link to zoom lecture by the author in comments
PointPainting: Sequential Fusion for 3D Object Detection (CVPR 2020) arxiv: https://arxiv.org/abs/1911.10150 git: https://github.com/rshilliday/painting
-
Community mingling live event, autonomous driving lecture, job opening, meet the member and more (Announcements 04.03.2021)
PointPainting: Sequential Fusion for 3D Object Detection (CVPR 2020) - git
-
[R] Teaching cars to see at scale - Dr. Holger Caesar (Author of nuScenes and COCO-Stuff datasets) - Link to zoom lecture by the author in comments
PointPainting: Sequential Fusion for 3D Object Detection (CVPR 2020) https://arxiv.org/abs/1911.10150 git: https://github.com/rshilliday/painting
What are some alternatives?
When comparing nuscenes-devkit and painting you can also consider the following projects:
second.pytorch - PointPillars for KITTI object detection
bbox-visualizer - Make drawing and labeling bounding boxes easy as cake
Unsupervised-Attention-guided-Image-to-Image-Translation - Unsupervised Attention-Guided Image to Image Translation
magsac - The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold
graph-cut-ransac - The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf