nuscenes-devkit
second.pytorch
nuscenes-devkit | second.pytorch | |
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4 | 4 | |
2,128 | 697 | |
2.7% | - | |
5.1 | 0.0 | |
19 days ago | almost 4 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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nuscenes-devkit
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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
second.pytorch
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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
What are some alternatives?
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
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"