Skip to main content

descriptron

Image annotation, phenomics and evidence-tiered species descriptions.

pip install torch==2.10.0 torchvision==0.25.0 --index-url https://download.pytorch.org/whl/cu128   # NVIDIA; Mac/CPU: drop --index-url
SAM2_BUILD_CUDA=0 pip install git+https://github.com/facebookresearch/sam2.git   # SAM2 library (Windows: set SAM2_BUILD_CUDA=0 first)
pip install descriptron          # analysis programs, detectors and the GUI
descriptron-gui                  # first start downloads the SAM2 model file (898 MB) once
descriptron --list               # the 62 analysis programs

SAM2 is not on PyPI, so it cannot be installed with this package: install it from Meta's GitHub as above, into the same Python (3.10 or newer; 3.12 recommended). The GUI downloads the SAM2 model file sam2_hiera_large.pt once into ~/.cache/descriptron/sam2/; if you already have it, copy it there or set DESCRIPTRON_SAM2_CHECKPOINT. Step by step for Windows, macOS and Linux: https://github.com/alexrvandam/Descriptron/blob/main/docs/INSTALL_PIP.md

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.

Metadata

Release files for descriptron 2.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for descriptron 2.6.0
File Size Uploaded
descriptron-2.6.0.tar.gz 7.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for descriptron 2.6.0
File Interpreter ABI Platform
descriptron-2.6.0-py3-none-any.whl Python 3 none any Details

Total release size: 15.0 kB

Release files / descriptron-2.6.0.tar.gz

Download URL descriptron-2.6.0.tar.gz
Size 7.2 kB
Tags Source
SHA-256 checksum
How to use checksums
3e04110c3e143a08e9c057610eb2b555be4ce3439b68a07f018513b17fb7d52d
BLAKE2b-256 checksum
How to use checksums
ea979a17f632dae1ec368f6e98658a4bd684591eb981cef4fdc562363e02d6b5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.4

Release files / descriptron-2.6.0-py3-none-any.whl

Download URL descriptron-2.6.0-py3-none-any.whl
Size 7.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3f22ab4e2644624b7e810142683bfdb4a561d0dae2f3a1e2d131e066cd5e5e45
BLAKE2b-256 checksum
How to use checksums
669129587bbe7f95b82ec3624bcaaf678700b4ae24a682f117301d4325c45666
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.4

Release history Release notifications | RSS feed

2.7.8

2 release files

2.7.6

2 release files

2.7.5

2 release files

2.7.0

2 release files

This release

2.6.0 This release

2 release files

2.5.2

2 release files

2.5.1

2 release files

2.3.0

2 release files

2.2.0

2 release files

2.1.3

2 release files

2.1.2

2 release files

2.1.1

2 release files

2.1.0

2 release files

2.0.4

2 release files

2.0.3

2 release files

2.0.2

2 release files

2.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page