Mustatil GIS-level AI vision workspace for annotation, YOLO training, large-image detection and geospatial export.
Project description
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.
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- Tags: Python 3
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