Dl Agriculture
Automatic mapping of center pivot irrigation systems, planted forests and rural infrastructures
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cv Arxiv Daily | 631 | 4 months ago | 1 | apache-2.0 | Python | |||||
| 🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours) | ||||||||||
| Deep Learning Localization Mapping | 540 | 9 months ago | 4 | other | ||||||
| A collection of deep learning based localization models | ||||||||||
| Agilemapper | 425 |  | 12 | 16 | 2 years ago | 73 | March 31, 2022 | 6 | mit | C# |
| A zero-configuration, highly-configurable, unopinionated object mapper with viewable execution plans. Flattens, unflattens, deep clones, merges, updates and projects queries. .NET 3.5+ and .NET Standard 1.0+. | ||||||||||
| Lidar Mos | 392 | a year ago | 9 | mit | Python | |||||
| (LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021) | ||||||||||
| Deep Exemplar Based Colorization | 365 | 4 years ago | 6 | mit | Python | |||||
| The source code of "Deep Exemplar-based Colorization". | ||||||||||
| Lidar Slam Detection | 328 | 5 months ago | 10 | apache-2.0 | C++ | |||||
| LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic | ||||||||||
| Sparse To Dense | 310 | 6 years ago | 7 | other | Lua | |||||
| ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation) | ||||||||||
| Keras Cam | 304 | 7 years ago | 9 | Python | ||||||
| Keras implementation of class activation mapping | ||||||||||
| Node Object Mapper | 259 |  | 65 | 73 | a year ago | 29 | December 20, 2019 | 41 | mit | JavaScript |
| Copy properties from one object to another. | ||||||||||
| Deepmapping | 191 | a year ago | other | Python | ||||||
| [CVPR2019 Oral] Self-supervised Point Cloud Map Estimation | ||||||||||
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