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ceramatch-1.0.43
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مشاهده بیشترتوضیحات
Visual shape-matching and classification of ceramics.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | ceramatch-1.0.43 |
| نام | ceramatch |
| نسخه کتابخانه | 1.0.43 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Peter Demján |
| ایمیل نویسنده | peter.demjan@gmail.com |
| آدرس صفحه اصلی | https://github.com/demjanp/CeraMatch |
| آدرس اینترنتی | https://pypi.org/project/ceramatch/ |
| مجوز | - |
# <img src="cm_logo_small.svg" width="32"> CeraMatch
Visual shape-matching and classification of ceramics
Created on 18. 5. 2019
<details>
<summary>Table of Contents</summary>
1. [About CeraMatch](#about)
2. [Installation](#installation)
3. [Video Guide](#videoguide)
4. [Sample Data](#sampledata)
5. [Generating Datasets](#generating)
6. [Contact](#contact)
7. [Acknowledgements](#acknowledgements)
8. [License](#license)
</details>
## About CeraMatch <a name="about"></a>
A graphical user interface to a [Deposit](https://github.com/demjanp/deposit) database of digitized ceramic fragments created using the [Laser Aided Profiler](https://www.laseraidedprofiler.com/) control application which implements automated ceramic shape matching and clustering as described in [Demján et al. 2022](https://doi.org/10.1080/00934690.2022.2128549).
It has three basic functions: calculate (dis)similarity between samples; perform automatic clustering; and, allow users to rearrange clusters freely until they represent a valid classification. Furthermore, CeraMatch quantifies the degree of similarity of each fragment to a certain class, allowing for a probabilistic approach to classification, in which each vessel profile has quantifiable probabilities of belonging to particular classes or sub-classes. The application uses a hierarchical cluster analysis algorithm to assign each fragment into a cluster of similar specimens, a prerequisite for classification.
For an in-depth description of the concepts behind CeraMatch see:
DEMJÁN, P. - PAVÚK, P. - ROOSEVELT, CH. H. 2022: Laser-Aided Profile Measurement and Cluster Analysis of Ceramic Shapes. Journal of Field Archaeology 47 (8). https://doi.org/10.1080/00934690.2022.2128549
## Installation <a name="installation"></a>
For a Windows installer see:
https://github.com/demjanp/ceramatch/releases/latest
To install the latest version of Ceramatch as a Python module use:
```
pip install ceramatch
```
To start the GUI execute:
[bin\start_cm.py](bin\start_cm.py)
## Video Guide: <a name="videoguide"></a>
[](https://youtu.be/2TPSN40nX7k)
## Sample Data: <a name="sampledata"></a>
Demján, P., Pavúk, P., Kaner, T., Bobik, J., & Roosevelt, C. H. (2021, October 15). Sample Data - Middle- to Late Bronze Age pottery from Kaymakçı. https://doi.org/10.17605/OSF.IO/UX8VD
## Generating Datasets: <a name="generating"></a>
You can create digital ceramics drawings usable in CeraMatch using the [Laser Aided Profiler Control Application](https://www.laseraidedprofiler.com/support/) by digitizing pottery fragments directly using the LAP device, or by digitizing drawings in PDF or raster image format (see this [video guide](https://youtu.be/OeevHiLsQTw)).
## Contact: <a name="contact"></a>
Peter Demján (peter.demjan@gmail.com)
Institute of Archaeology of the Czech Academy of Sciences, Prague, v.v.i.
## Acknowledgements <a name="acknowledgements"></a>
Development of this software was supported by OP RDE, MEYS, under the project "Ultra-trace isotope research in social and environmental studies using accelerator mass spectrometry", Reg. No. CZ.02.1.01/0.0/0.0/16_019/0000728.
This software uses the following open source packages:
* [cryptography](https://github.com/pyca/cryptography)
* [Deposit GUI](https://github.com/demjanp/deposit_gui)
* [Deposit](https://github.com/demjanp/deposit)
* [Graphviz](https://www.graphviz.org/)
* [lap_data](https://github.com/demjanp/lap_data)
* [natsort](https://github.com/SethMMorton/natsort)
* [NetworKit](https://networkit.github.io/)
* [NetworkX](https://networkx.org/)
* [NumPy](https://www.numpy.org/)
* [OpenCV on Wheels](https://github.com/opencv/opencv-python)
* [OpenCV](https://opencv.org/)
* [openpyxl](https://openpyxl.readthedocs.io/)
* [Pillow](https://python-pillow.org/)
* [Psycopg](https://psycopg.org/)
* [PyGraphviz](http://pygraphviz.github.io/)
* [PyShp](https://github.com/GeospatialPython/pyshp)
* [PySide2](https://www.pyside.org/)
* [Qt](https://www.qt.io)
* [scikit-image](https://scikit-image.org/)
* [scikit-learn](http://scikit-learn.org/)
* [SciPy](https://scipy.org/)
* [Shapely](https://github.com/shapely/shapely)
* [svgelements](https://github.com/meerk40t/svgelements)
* [Unidecode](https://github.com/avian2/unidecode)
* [validators](https://github.com/kvesteri/validators)
## License <a name="license"></a>
This code is licensed under the [GNU GENERAL PUBLIC LICENSE](https://www.gnu.org/licenses/gpl-3.0.en.html) - see the [LICENSE](LICENSE) file for details
نیازمندی
| مقدار | نام |
|---|---|
| <4.1,>=4.0.1 | lap-data |
| <2,>=1.9.1 | scipy |
| - | scikit-image |
| <1.2,>=1.1.1 | scikit-learn |
| <5,>=4.5.5 | opencv-python |
| - | numpy |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.10, <4 | Python |
نحوه نصب
نصب پکیج whl ceramatch-1.0.43:
pip install ceramatch-1.0.43.whl
نصب پکیج tar.gz ceramatch-1.0.43:
pip install ceramatch-1.0.43.tar.gz