Ikomia

**New features**:
- Add function to create demo workflow from HUB algorithm
- Save API configuration at runtime (auto-completion ON/OFF, root folder, Tensorboard config, MLFlow config...)
- Feature to enable/disable workflow task for running
- 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)

**Bug fixes**:
- Avoid duplicate log messages between _stderr_ and _stdout_
- Color mismatch in semantic segmentation tasks 37
- Deep copy of CWorkflowTaskParam object
- Class labels overflow in semantic segmentation IO

**Bug fixes**:
- Regression in dataset loaders

**New features**:
- OpenCV 4.8.1
- Add I/O information in JSON export for workflow introspection
- Add feature to expose task parameters at workflow level
- Add feature to expose task outputs at workflow level
- Add RGB <-> RGBA conversion option in *ocv_color_conversion* algorithm
- Add environment variable (IKOMIA_AUTO_COMPLETION) to set auto-completion ON/OFF

**Improvements**:
- Manage log status (info, warning, error) for Python
- Manage RGBA source image
- Indicate Python version in workflow JSON file
- Non string values can be passed to Workflow::set_parameters()
- Forward exception callstack when algorithm failed to load (33)
- Avoid double algorithm instantiation while loading workflow

**Bug fixes**:
- Kernel size limit for StackBlur and BoxFilter algorithms
- Handle empty mask for semantic segmentation output
- Register CDatasetIO in I/O factory
- Handle alpha channel for base 64 image conversion
- Circular imports
- ...

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 possibility to manage public and private HUBs
- Token-based authentication for private HUB
-

**Improvements**:
- Add polygons output for instance and semantic segmentation algorithms
- Add methods in CImageIO class to get visual image from other I/O (graphics, object detection, segmentation...)
- Improve speed of auto-completion system (ik module)

**Bug fixes**:
- Export segmentation masks in PNG format for JSON serialization
- Missing Python binding for CInstanceSegIO::is_data_available()
- Windows: fix download function with correct path separators
- Avoid creating MLFlow experiment in training algorithm constructor
- ...

**Improvements**:
- Update documentation
- Manage error if algorithm code package is not found in Ikomia HUB
- Manage mandatory parameter in IkomiaRegistry::create_algorithm()
- Update tests and make them compatible with PyTest


**Bug fixes**:
- Fix upper case extension for image and video files
- Fix I/O retrieval for composite I/O like object detection I/O, instance segmentation I/O, ...
- Fix typo error in Workflow::set_parameters()
- ...

This minor version only includes the Ikomia domain change: ikomia.com -> ikomia.ai