# GEOMAPI
[](https://badge.fury.io/py/geomapi)
[](https://coveralls.io/github/KU-Leuven-Geomatics/geomapi?branch=main)
This innovative toolbox, developped by [KU Leuven Geomatics](https://iiw.kuleuven.be/onderzoek/geomatics), jointly processes close-range sensing resources (point clouds, images) and BIM models for the AEC industry.
More specifically, we combine [semantic web technologies](https://en.wikipedia.org/wiki/Semantic_Web) with state-of-the-art open source geomatics APIs
to process and analyse big data in construction applications.
## Installation
Use the package manager [pip](https://pypi.org/project/geomapi) to install geomapi as a user.
```bash
conda create --name geomapi_user python=3.10
pip install geomapi
```
Or as a developer, install the dependencies from the root folder through the command line.
```bash
pip install -r requirements.txt
```
## Documentation
You can read the full API reference here:
[Documentation](https://ku-leuven-geomatics.github.io/geomapi/index.html)
## Quickstart
```py
import geomapi
from geomapi.nodes import Node
newNode = Node()
```
## Contributing
The master branch is protected and you can only make changes by submitting a merge request.
Please create a new branch if you would like to make changes and submit them for approval.
## Citation
If you want to cite us, refer to the following publication (accepted).
```
@article{GEOMAPI,
title = {GEOMAPI: Processing close-range sensing data of construction scenes with semantic web technologies},
journal = {Automation in Construction},
volume = {164},
pages = {105454},
year = {2024},
issn = {0926-5805},
doi = {https://doi.org/10.1016/j.autcon.2024.105454},
url = {https://www.sciencedirect.com/science/article/pii/S0926580524001900},
author = {Maarten Bassier and Jelle Vermandere and Sam De Geyter and Heinder De Winter},
keywords = {Geomatics, Semantic Web Technologies, Construction, Close-range sensing, BIM, Point clouds, Photogrammetry}
}
```
## TEAM
- maarten.bassier@kuleuven.be (PI)
- jelle.vermandere@kuleuven.be
- sam.degeyter@kuleuven.be
- heinder.dewinter@kuleuven.be
---
## Licensing
The code in this project is licensed under MIT license.
Raw data
{
"_id": null,
"home_page": "https://ku-leuven-geomatics.github.io/geomapi/index.html",
"name": "geomapi",
"maintainer": null,
"docs_url": null,
"requires_python": "<=3.11",
"maintainer_email": null,
"keywords": "Geomatics, alignment, monitoring, validation, progress, point clouds, computer vision, deep learning",
"author": "Bassier M., De Geyter S., De Winter H., Vermandere J. @ Geomatics KU Leuven",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/09/85/298b2ffb0d2714c98cfaa3a65f6ed45b3a1cb337ae8e55ad93d22dd292a8/geomapi-0.3.6.tar.gz",
"platform": null,
"description": "\n\n\n\n# GEOMAPI\n\n\n[](https://badge.fury.io/py/geomapi)\n[](https://coveralls.io/github/KU-Leuven-Geomatics/geomapi?branch=main)\n\nThis innovative toolbox, developped by [KU Leuven Geomatics](https://iiw.kuleuven.be/onderzoek/geomatics), jointly processes close-range sensing resources (point clouds, images) and BIM models for the AEC industry. \nMore specifically, we combine [semantic web technologies](https://en.wikipedia.org/wiki/Semantic_Web) with state-of-the-art open source geomatics APIs\nto process and analyse big data in construction applications.\n\n## Installation\n\nUse the package manager [pip](https://pypi.org/project/geomapi) to install geomapi as a user.\n\n```bash\nconda create --name geomapi_user python=3.10\npip install geomapi\n```\n\nOr as a developer, install the dependencies from the root folder through the command line.\n\n```bash\npip install -r requirements.txt\n```\n\n## Documentation\n\nYou can read the full API reference here:\n\n[Documentation](https://ku-leuven-geomatics.github.io/geomapi/index.html)\n\n\n## Quickstart\n\n```py\nimport geomapi\nfrom geomapi.nodes import Node\n\nnewNode = Node()\n```\n\n## Contributing\n\nThe master branch is protected and you can only make changes by submitting a merge request. \nPlease create a new branch if you would like to make changes and submit them for approval.\n\n## Citation\nIf you want to cite us, refer to the following publication (accepted). \n```\n@article{GEOMAPI,\n title = {GEOMAPI: Processing close-range sensing data of construction scenes with semantic web technologies},\n journal = {Automation in Construction},\n volume = {164},\n pages = {105454},\n year = {2024},\n issn = {0926-5805},\n doi = {https://doi.org/10.1016/j.autcon.2024.105454},\n url = {https://www.sciencedirect.com/science/article/pii/S0926580524001900},\n author = {Maarten Bassier and Jelle Vermandere and Sam De Geyter and Heinder De Winter},\n keywords = {Geomatics, Semantic Web Technologies, Construction, Close-range sensing, BIM, Point clouds, Photogrammetry}\n }\n```\n## TEAM\n- maarten.bassier@kuleuven.be (PI)\n- jelle.vermandere@kuleuven.be\n- sam.degeyter@kuleuven.be\n- heinder.dewinter@kuleuven.be\n---\n\n\n## Licensing\nThe code in this project is licensed under MIT license.\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A standard library to manage geomatic data",
"version": "0.3.6",
"project_urls": {
"Homepage": "https://ku-leuven-geomatics.github.io/geomapi/index.html"
},
"split_keywords": [
"geomatics",
" alignment",
" monitoring",
" validation",
" progress",
" point clouds",
" computer vision",
" deep learning"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "e0c996eee2b15aeff67e16b3f79f262ed74a6e6f377287a5c41b60154ae426c7",
"md5": "09601d4b7e5f52411b1fc04e6c9c14f9",
"sha256": "cffb8f749d81cdcddca025204a6ac7925c58be144dede203439464f2ea6db814"
},
"downloads": -1,
"filename": "geomapi-0.3.6-py3-none-any.whl",
"has_sig": false,
"md5_digest": "09601d4b7e5f52411b1fc04e6c9c14f9",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<=3.11",
"size": 204165,
"upload_time": "2024-09-03T12:38:22",
"upload_time_iso_8601": "2024-09-03T12:38:22.115677Z",
"url": "https://files.pythonhosted.org/packages/e0/c9/96eee2b15aeff67e16b3f79f262ed74a6e6f377287a5c41b60154ae426c7/geomapi-0.3.6-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "0985298b2ffb0d2714c98cfaa3a65f6ed45b3a1cb337ae8e55ad93d22dd292a8",
"md5": "742acba36d4f1cb4df028e07f145c292",
"sha256": "70957e28ca056f0bf46e13e26a4434374ff42492cc53b059999a4b41d283bc89"
},
"downloads": -1,
"filename": "geomapi-0.3.6.tar.gz",
"has_sig": false,
"md5_digest": "742acba36d4f1cb4df028e07f145c292",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<=3.11",
"size": 176443,
"upload_time": "2024-09-03T12:38:23",
"upload_time_iso_8601": "2024-09-03T12:38:23.597646Z",
"url": "https://files.pythonhosted.org/packages/09/85/298b2ffb0d2714c98cfaa3a65f6ed45b3a1cb337ae8e55ad93d22dd292a8/geomapi-0.3.6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-09-03 12:38:23",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "geomapi"
}
JSON