Auspex RT
Bounding-box object detection. Train on your own boxes, detect boxes.
Trained from random initialisation — no pretrained weights are downloaded and none are required, so the detector you train carries nothing of anyone else's.
Install
pip install auspex-rt # import name: auspex_rt
Wheels for Linux x86_64, Windows and macOS Apple Silicon, Python 3.10–3.13. An NVIDIA GPU is recommended for training; CPU is fine for inference.
Use
from auspex_rt import Auspex
model = Auspex(labelspace="labelspace.yaml")
model.train(data="data.yaml", epochs=150)
results = model.predict("images/", save=True)
model = Auspex(weights="best.pt") # checkpoints are self-contained
model.val(data="data.yaml")
Or the console command: auspex-rt train --data data.yaml --labelspace labelspace.yaml.
Reads YOLO/Roboflow text, COCO JSON, CVAT-for-images 1.1 XML and Pascal VOC, mixed freely in one run. Polygon annotations train a box model — the box is taken from the annotation's extent, and the conversion is reported rather than done silently. Predictions export back to CVAT or COCO for pre-labelling.
Trial and licensing
Training is free for 30 days, in full — no key, no sign-up. The clock starts on your first training run.
Prediction, validation, calibration and export are never gated. They keep working afterwards, on any model you have already trained, forever.
After 30 days, training needs a credential:
export AUSPEX_RT_LICENSE=AUSPEXRT-... # or write it to ~/.auspex-rt/license.key
Verified offline against a public key compiled into the wheel — nothing phones home, so training works on air-gapped machines. The trade is that a credential cannot be withdrawn before it expires, so they are dated.
Get one: https://heliontechltd.com/license
License
Proprietary, under an End-User License Agreement: licensed users may install and run it and train models on their own data (the resulting weights are theirs); copying, redistribution, modification and reverse engineering are prohibited. Full terms: https://heliontechltd.com/license
1 maintainer
Release files for auspex-rt 0.2.0
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Built distributions (wheels)
Total release size: 85.0 MB
Release files / auspex_rt-0.2.0-cp313-cp313-win_amd64.whl
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| Size | 2.0 MB |
| Tags | CPython 3.13 Windows x86-64 |
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