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Release Notes

Release notes for Celantur SDK / Edge.

2026

Version 1.5.2

Released on August 7th, 2026.

  • Support for NVIDIA Blackwell architecture (compute capability 10.0).

  • Now also supports Ubuntu 24.04 as base operating system.

  • A new improved model with two different input sizes.

Dependencies

  • OpenCV v4.11.0

  • TensorRT v10.15.1

  • ONNX v1.20.1

  • OpenVino v2024.6.0

Version 1.5.1

Released on June 3rd, 2026.

  • Full GPU inference: Use data in GPU memory as input and output for inference instead of copying from CPU memory. See example.

  • Run models with different input sizes. A smaller, faster model (with 640x640 input size) is now available upon request.

  • Improved default model (segmentatio-omnium v10) trained with additional indoor, outdoor and dashcam images.

Dependencies

Same as for Version 1.1.0.

Version 1.4.0

Released on March 19th, 2026.

  • Add object tracking.

  • Separate detection from blurring. See example.

Dependencies

Same as for Version 1.1.0.

Version 1.3.0

Released on January 27th, 2026.

  • Remove dependency on protobuf.

  • Available with new model (segmentatio-omnium v8).

Dependencies

Same as for Version 1.1.0.

2025

Version 1.2.0

Released on October 21st, 2025.

  • Beautify blur for bounding boxes.

  • SKD supports smaller models.

  • TensorRT support.

  • Fix bug where tiling and segmentation mask creation crashes the application.

Dependencies

Same as for Version 1.1.0

Version 1.1.0

First public release of Celantur SKD on July 18th, 2025.

  • C++ library.

  • Inference with ONNX and OpenVINO.

  • Blurring of faces, license plates, persons and vehicles.

  • Blurring using segmentation mask or bounding boxes.

  • Detection metadata as structured data or JSON string.

  • Custom tiling.

  • Setting detection thresholds.

  • Read and save JPEG images.

  • Multithreading.

  • Video processing plugin.

    • H.254 en- and decoding.

  • Deliverable as Docker image or Debian libraries.

Dependencies

  • Boost v1.84.0

  • ONNX v1.20.1

  • OpenCV v4.7.0

  • TensorRT v10.0.1.6

  • OpenVino v2024.6.0

  • Optional: libjpeg-turbo v3.1.0

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