| Name | graph-segment JSON |
| Version |
0.0.2
JSON |
| download |
| home_page | None |
| Summary | Graph-based image segmentation |
| upload_time | 2025-10-06 17:18:12 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | None |
| keywords |
graph
segmentation
tracking
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Graph Segment Algorithms for Graph Neural Network-based Tracking
### Installation
```bash
pip install graph_segment
```
### Test
Download the data `python3 download_data.py`. And then `./build/bin/walk_through data/debug_graph.dot`.
### Developer Guide
Install a Python virtual environment and activate it:
```bash
python3 -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install cibuildwheel build twine
```
Then you can run
```bash
pipx run cibuildwheel --platform linux
```
### Packing and Uploading
```bash
python3 -m build
twine upload dist/*
```
#### Note
The code was improved by `OpenAI o1Pro` model. The execution time was reduced from 403 ms to 190 ms.
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