second.pytorch
PointPillars for KITTI object detection (by nutonomy)
nuscenes-devkit
The devkit of the nuScenes dataset. (by nutonomy)
| second.pytorch | nuscenes-devkit | |
|---|---|---|
| 4 | 4 | |
| 697 | 2,128 | |
| - | 2.7% | |
| 0.0 | 5.1 | |
| almost 4 years ago | 18 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
second.pytorch
Posts with mentions or reviews of second.pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-08.
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I dont understad the paper, Could you please give me a hand?
Found relevant code at https://github.com/nutonomy/second.pytorch + all code implementations here
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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
PointPillars: Fast Encoders for Object Detection from Point Clouds (CVPR 2019) arxiv: https://arxiv.org/abs/1812.05784 git: https://github.com/nutonomy/second.pytorch
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Community mingling live event, autonomous driving lecture, job opening, meet the member and more (Announcements 04.03.2021)
PointPillars: Fast Encoders for Object Detection from Point Clouds (CVPR 2019) - 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
PointPillars: Fast Encoders for Object Detection from Point Clouds (CVPR 2019) arxiv: https://arxiv.org/abs/1812.05784 git: https://github.com/nutonomy/second.pytorch
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
-
[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
What are some alternatives?
When comparing second.pytorch and nuscenes-devkit you can also consider the following projects:
Unsupervised-Attention-guided-Image-to-Image-Translation - Unsupervised Attention-Guided Image to Image Translation
bbox-visualizer - Make drawing and labeling bounding boxes easy as cake
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
magsac - The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold
painting - Implementation of PointPainting
decoupled-style-descriptors - Code and data for ECCV 2020 paper Generating Handwriting via Decoupled Style Descriptors
sam - Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"
second.pytorch vs Unsupervised-Attention-guided-Image-to-Image-Translation
nuscenes-devkit vs bbox-visualizer
second.pytorch vs graph-cut-ransac
nuscenes-devkit vs Unsupervised-Attention-guided-Image-to-Image-Translation
second.pytorch vs bbox-visualizer
nuscenes-devkit vs magsac
second.pytorch vs magsac
nuscenes-devkit vs painting
second.pytorch vs decoupled-style-descriptors
nuscenes-devkit vs graph-cut-ransac
second.pytorch vs painting
second.pytorch vs sam