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[v1.3.1] – 2026-05-11
Fixed
Cutana 0.3.0 compatibility by removing the obsolete synchronised_loading kwarg from StreamingOrchestrator.init_streaming calls
Pretrained weight loading when the repository is cloned without git-lfs: fall back to a HuggingFace download instead of failing on LFS pointer files
Changed
Security: replaced pickle-based torch.save / torch.load checkpointing with safetensors, removing the pickle deserialisation risk on untrusted model files (#9)
PyTorch minimum raised to >=2.6 in the conda environments to pick up upstream CVE fixes (#11)
Documentation
Programmatic Evaluation (Headless Mode) section added to the README, showing how to run batch predictions through Session.load_model() + Session.evaluate_all_images() without launching the UI (#10)