descriptron
Image annotation, phenomics and evidence-tiered species descriptions.
pip install descriptron # everything
descriptron-gui # the annotation GUI
descriptron --list # the 62 analysis programs
This is a convenience package with no code of its own. It installs:
descriptron-core |
the analysis half — pure pip, no torch, no GPU, no compiler |
descriptron-vision |
torchvision detectors, SAM2-PAL propagation, DINOv3 landmark transfer |
descriptron-gui |
the annotation GUI |
If you only want to reproduce an analysis from deposited COCO files, install
descriptron-core alone: it needs no model of any kind and installs in about a
minute on Linux, macOS and Windows.
Detectron2 is an optional advanced backend and is not installed here — it has no PyPI wheel and needs a compiler. See the repository for the Docker image that carries it ready to run.
1 maintainer
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Release files for descriptron 2.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| descriptron-2.5.1.tar.gz | 6.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| descriptron-2.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.2 kB
Release files / descriptron-2.5.1.tar.gz
| Download URL | descriptron-2.5.1.tar.gz |
|---|---|
| Size | 6.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / descriptron-2.5.1-py3-none-any.whl
| Download URL | descriptron-2.5.1-py3-none-any.whl |
|---|---|
| Size | 7.4 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/7.0.0 CPython/3.12.4
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