graph-cut-ransac VS nuscenes-devkit

Compare graph-cut-ransac vs nuscenes-devkit and see what are their differences.

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 (by danini)
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graph-cut-ransac nuscenes-devkit
5 4
400 2,118
- 1.9%
6.5 5.1
about 2 months ago 11 days ago
C++ Python
GNU General Public License v3.0 or later 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.

graph-cut-ransac

Posts with mentions or reviews of graph-cut-ransac. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-28.

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.

What are some alternatives?

When comparing graph-cut-ransac and nuscenes-devkit you can also consider the following projects:

second.pytorch - PointPillars for KITTI object detection

magsac - The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

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

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"

painting - Implementation of PointPainting