Segmentools
Torch overlay for trainning and inference processes for semantic segmentation tasks.
💪 Context
Segmentools is developped by INRAE (french National Research Institute for Agriculture, Food and the Environment) for the PHENOME-EMPHASIS project
Install
Segmentools has mostly been tested under Python 3.10 (even if it should work with later versions). We recommend using 3.10.
In your python environment run
pip install segmentools
Code access and documentation
Source code documentation will be accessible soon.
2 maintainers
Metadata
2 maintainers
Release files for segmentools 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| segmentools-0.1.0.tar.gz | 23.7 kB | Without provenance | Details for segmentools-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| segmentools-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for segmentools-0.1.0-py3-none-any.whl |
Total release size: 50.5 kB
Release files / segmentools-0.1.0.tar.gz
| Download URL | segmentools-0.1.0.tar.gz |
|---|---|
| Size | 23.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/5.0.0 CPython/3.12.1
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Release files / segmentools-0.1.0-py3-none-any.whl
| Download URL | segmentools-0.1.0-py3-none-any.whl |
|---|---|
| Size | 26.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.1
|
Security for segmentools 0.1.0
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