Mustatil 5.6.0
Mustatil is a GIS-level AI vision workspace for annotation, YOLO training, large-image / GeoTIFF detection, satellite-map detection, visual AI pipelines, remote-sensing workflows, and GPKG/GIS export.
Install from PyPI
python -m pip install --upgrade pip
python -m pip install --upgrade mustatil
mustatil
Alternative start command:
python -m mustatil
Included in this PyPI build
- Qt/PySide6 desktop workspace
- Detection and Satellite Detection helpers
- Annotator, trainer, video, remote-sensing, GIS review, AI pipeline, RCNN/UNet/SAM2/RF-DETR/LAE-DINO helper plugins from this release
- Starter model/data files where PyPI size allows:
Houses300.ptHouses300.onnxTree50.ptyolov8n.ptyolo26n.ptsam2_all_polygons.json
- Python dependency declarations so
pip install mustatilpulls the required Python packages.
Large model note
sam2_b.pt from the original folder is larger than PyPI's normal single-file upload limit, so it is not bundled in this PyPI-ready wheel. Place sam2_b.pt next to mustatil_qt_workspace.py in the installed package directory or select it manually in the UI if you want to use that exact local checkpoint.
GPU note
PyPI dependency metadata cannot force the CUDA-specific PyTorch wheel index. A plain pip install mustatil installs PyTorch through normal package resolution. For NVIDIA CUDA builds, install the matching PyTorch CUDA wheels first, then install or upgrade Mustatil.
Metadata
Release files for mustatil 5.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mustatil-5.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / mustatil-5.6.0-py3-none-any.whl
| Download URL | mustatil-5.6.0-py3-none-any.whl |
|---|---|
| Size | 92.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c5abce54f4a67a73b06522499801a60405995c9f4972858a0ab64cdebf2086dd
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BLAKE2b-256 checksum How to use checksums |
5b7c15bebf94fcf5debe053a00416d1b181e54146a3394ae54b5d28a8f5e9a1e
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.10
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