| Name | pointtree JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | A Python Package for Tree Instance Segmentation in 3D Point Clouds. |
| upload_time | 2024-11-03 19:57:02 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT License Copyright (c) 2024 Josafat-Mattias Burmeister Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
tree
point cloud
segmentation
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
<img src="https://github.com/ai4trees/pointtree/blob/main/docs/assets/pointtree-logo-color.png" alt="pointtree" width="300" height="100">
## A Python Package for Tree Instance Segmentation in 3D Point Clouds.
[](https://opensource.org/licenses/MIT)
[](https://github.com/ai4trees/pointtree/actions/workflows/code-quality-main.yml)
[](https://codecov.io/github/ai4trees/pointtree?branch=main)
The package contains the official source code of the paper ["Burmeister, Josafat-Mattias, et al. "Tree Instance Segmentation in Urban 3D Point Clouds Using a Coarse-to-Fine Algorithm Based on Semantic Segmentation." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 10 (2024): 79-86.](https://isprs-annals.copernicus.org/articles/X-4-W5-2024/79/2024/isprs-annals-X-4-W5-2024-79-2024.pdf)
### Package Documentation
The documentation of our package is available [here](https://ai4trees.github.io/pointtree/stable).
### Project Setup
The setup of our package is described in the [documentation](https://ai4trees.github.io/pointtree/stable#get-started).
### How to Cite
If you use our code, please consider citing our paper:
```
@article{Burmeister_Tree_Instance_Segmentation_2024,
author = {Burmeister, Josafat-Mattias and Richter, Rico and Reder, Stefan and Mund, Jan-Peter and Döllner, Jürgen},
doi = {10.5194/isprs-annals-X-4-W5-2024-79-2024},
journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
pages = {79--86},
title = {{Tree Instance Segmentation in Urban 3D Point Clouds Using a Coarse-to-Fine Algorithm Based on Semantic Segmentation}},
volume = {X-4/W5-2024},
year = {2024}
}
```
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"description": "<img src=\"https://github.com/ai4trees/pointtree/blob/main/docs/assets/pointtree-logo-color.png\" alt=\"pointtree\" width=\"300\" height=\"100\">\n\n## A Python Package for Tree Instance Segmentation in 3D Point Clouds.\n\n\n[](https://opensource.org/licenses/MIT)\n[](https://github.com/ai4trees/pointtree/actions/workflows/code-quality-main.yml)\n[](https://codecov.io/github/ai4trees/pointtree?branch=main)\n\n\nThe package contains the official source code of the paper [\"Burmeister, Josafat-Mattias, et al. \"Tree Instance Segmentation in Urban 3D Point Clouds Using a Coarse-to-Fine Algorithm Based on Semantic Segmentation.\" ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 10 (2024): 79-86.](https://isprs-annals.copernicus.org/articles/X-4-W5-2024/79/2024/isprs-annals-X-4-W5-2024-79-2024.pdf)\n\n### Package Documentation\n\nThe documentation of our package is available [here](https://ai4trees.github.io/pointtree/stable).\n\n### Project Setup\n\nThe setup of our package is described in the [documentation](https://ai4trees.github.io/pointtree/stable#get-started).\n\n### How to Cite\n\nIf you use our code, please consider citing our paper:\n\n```\n@article{Burmeister_Tree_Instance_Segmentation_2024,\nauthor = {Burmeister, Josafat-Mattias and Richter, Rico and Reder, Stefan and Mund, Jan-Peter and D\u00f6llner, J\u00fcrgen},\ndoi = {10.5194/isprs-annals-X-4-W5-2024-79-2024},\njournal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},\npages = {79--86},\ntitle = {{Tree Instance Segmentation in Urban 3D Point Clouds Using a Coarse-to-Fine Algorithm Based on Semantic Segmentation}},\nvolume = {X-4/W5-2024},\nyear = {2024}\n}\n```\n",
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