River Segmentation Python Package
This package provides river segmentation connectors and models as importable modules.
Installation (Editable mode)
From the root of your project, run:
pip install -e .
This will make river_segmentation importable from anywhere in your environment.
Usage Example
from river_segmentation.connectors import MinIOConnector
from river_segmentation.models import MyModel
Requirements
- Python 3.8+
- See requirements.txt for dependencies
Metadata
Release files for river-segmentation 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| river_segmentation-0.2.0.tar.gz | 21.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| river_segmentation-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.5 kB
Release files / river_segmentation-0.2.0.tar.gz
| Download URL | river_segmentation-0.2.0.tar.gz |
|---|---|
| Size | 21.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.5
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Release files / river_segmentation-0.2.0-py3-none-any.whl
| Download URL | river_segmentation-0.2.0-py3-none-any.whl |
|---|---|
| Size | 18.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.5
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