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AstroLens v1.2.0

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@github-actions github-actions released this 24 Mar 04:48
· 2 commits to main since this release
v1.2.0
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AstroLens v1.2.0

AI-Powered Astronomical Anomaly Detection -- autonomous sky survey analysis with self-correcting intelligence.

What's New in v1.1.0

  • Streaming Discovery: Fully autonomous multi-day pipeline that downloads, analyzes, and reports anomaly candidates 24/7
  • Self-Correcting Intelligence: Auto-adjusts thresholds, rebalances sources, recalibrates detection in real time
  • YOLO v1.1 Model: Fine-tuned transient detector achieving 99.5% mAP50 (up from 51.5%)
  • Daily HTML Reports: Automated charts, rankings, and trend analysis
  • Web Streaming Dashboard: Live monitoring with Chart.js visualizations
  • Desktop Streaming Panel: Start, stop, and monitor from the native UI

Validated in autonomous operation: 22,195 images analyzed across 5,471 sky regions, 3,541 anomaly candidates, 269 known objects independently recovered and confirmed against SIMBAD/NED (including SN 2014J, NGC 3690, SDSS J0252+0039).

Downloads

Platform File
macOS (Apple Silicon) AstroLens-v1.2.0-macos-arm64.zip
Windows (x64) AstroLens-v1.2.0-windows-x64.zip
Linux / All platforms Docker (see below)

Docker

docker pull ghcr.io/deepfieldlabs/astrolens:v1.2.0
docker run -p 8000:8000 -p 8080:8080 ghcr.io/deepfieldlabs/astrolens:v1.2.0

Requirements

  • Python 3.10+ (or Docker)
  • 8GB+ RAM recommended
  • GPU optional (CUDA / Apple MPS auto-detected)

Full documentation: Website | README | Wiki

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