Release Notes
Released: 2023-01-31
- Fixed: Segmentation/Binary masks were blank
Released: 2022-12-31
- Customizable Blurring The blurring effect can now be customized by setting gradient start and stop value, as well as the kernel size for specific objects. Read how it works.
- Code refactoring and maintenance (anonymiser code)
- Fixed issue with garbage collection
Released: 2022-11-30
- Get segmentation masks in TCP mode By setting the
--save-maskparameter, segmentation masks can now be returned by the Container (default are numpy arrays). - Fixed: Celantur Container new logs to STDOUT instead of STDERR
Released: 2022-11-03
- Use ffmpeg instead of opencv to read / write videos and move pre-processing to GPU
- Fixed: Binary masks contained vehicles and persons, even though only license plates were specified
Released: 2022-09-30
- File-wise detection thresholds Set individual detection thresholds per file by specifying
face-threshold,person-threshold,vehicle-thresholdandlicense-plate-thresholdwhen using the Container API or Batch Mode. - Container API health endpoint (/status) is now non-blocking
- Fixed automatic tiling
- Fixed bug: When anonymising person and license-plate, persons are not anonymised
- Updated celantur-core dependencies
Released: 2022-08-31
- Code refactoring and maintenance (connector interfaces, processor class, tile class, localization support)
Released: 2022-07-31
- PNG support for Container API PNG images can be ingested with the Container API.
- Several bug fixes and quality of life improvements.
Released: 2022-06-30
- REST API You can now send and receive images from the container via a REST API. This makes integration into your data pipelines even easier and more convenient: Celantur Container API Documentation
- Generate segmentation masks Create binary or instance segmentation masks for processed images. These mask files can be used for further image analysis and faster processing: Generate segmentation masks with the Celantur container
- Up to 60% faster processing by generating only metadata and segmentation masks By selecting the new “detect” method (instead of e.g. “blur”), the container is running only the inference on images, skipping the anonymization. This results in faster processing times when only metadata or segmentation masks are required.
- Size of Docker image reduced by 1 GiB
- Several bug fixes and quality of life improvements.
Last modified 1mo ago