Releases: Ikomia-dev/IkomiaStudio
Releases · Ikomia-dev/IkomiaStudio
v0.16.1
v0.16.0
v0.15.0
v0.14.0
Installer no longer provides CUDA-enabled build of OpenCV. This considerably reduces installer size and software disk usage.
New features:
- Output aggregation for video processing workflow
- Handle webm and mkv video format
Improvements:
- Performance improvement when retrieving compatible algos from Ikomia HUB
- Update dependencies: numpy >=1.26.4, mlflow==2.20.1
- Set compact mode for all JSON-based I/O export
- Add JSON export format for all compatible I/O
Bug fixes:
- Add missing load/save functions for CJsonIO
- Conversion Numpy <-> cv::mat (preparing Python 3.12 / 3.13)
v0.13.0
0.12.0
New features:
- Feature to enable/disable workflow task for running
- VTK 3D viewer
- New HUB algorithms:
- infer_ddcolor_colorisation
- infer_owl_v2
- infer_yolo_v9_seg, train_yolo_v9_seg
- infer_depth_anything_v2
- infer_florence_2_caption, infer_florence_2_ocr, infer_florence_2_detection, infer_florence_2_segmentation
- infer_segment_anything_2
- infer_rembg
- infer_flux_1 (schnell)
- infer_finegrain_segmenter
- infer_donut
Improvements:
- Manage EXIF metadata (orientation)
- Content-type header in http request
Bug fixes:
- Color mismatch in semantic segmentation tasks
- Class labels overflow in semantic segmentation IO
- Unhandled exception when reloading erroneous plugin
0.11.1
v0.11.0
New features:
- Embedded interpreter upgrade to Python 3.10
- OpenCV 4.8.1
- CUDA 11.8
- Add feature to edit workflow information
- Add feature to install algorithm requirements manually (#28)
- Add feature to expose task parameters at workflow level
- Add feature to expose task outputs at workflow level
Improvements:
- Keep current parameters values when reloading algorithms in a workflow
- Algorithm documentation window
- Zoom sensitivity in image view
Bug fixes:
v0.10.0
This release marks the transition to the new Ikomia Scale platform. This platform includes a new version of Ikomia HUB with more insights on how to use every algorithms with this API.
New features:
- Switch to new Ikomia HUB from Ikomia Scale platform
- Add get algorithms from public and private HUBs
- Add possibility to push algorithms to private HUB
- Add to publish private algorithms to public HUB
- Add possibility to push workflows to Ikomia Scale
- Token-based authentication for private HUB
Improvements:
- Add polygons output for instance and semantic segmentation algorithms
- Improve speed of auto-completion system (ik module)
- Algorithm template includes a markdown readme
- Display markdown readme in algorithm details
Bug fixes:
- Missing Python binding for CInstanceSegIO::is_data_available()
- Windows: fix download function with correct path separators
- Avoid creating MLFlow experiment in training algorithm constructor
- Paint issue in Ikomia HUB view
- ...
v0.9.1
Improvements:
- Update Python algorithm template
- Update iconography according to new Ikomia branding
- Manage overlay mask while exporting image or video results (#17)
Bug fixes: