Ikomia

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

This release introduces many break changes as we change the naming convention of the Python bindings from the C++ core. The complete API is now in Snake Case style for all functions, there is no more difference between pure Python and C++ API. These changes may occur during the consolidation period of the API marked by the 0.x.x versions.

**New features**:
- OpenCV 4.7.0
- Python 3.10 support
- MLFlow 1.30
- Remove authentication to install and load algorithms from Ikomia HUB
- Algorithms lazy loading to speed up API initialization
- New base classes for common computer vision tasks:
- object detection
- semantic segmentation
- instance segmentation
- keypoints detection
- Add workflow text I/O
- Add internal algorithms: OpenCV Blur and StackBlur
- Add automatic conversion from instance segmentation I/O to semantic I/O


**Improvements**:
- New auto-completion system (ik module)
- New documentation
- Algorithm parameters are set from dict structure (not C++ structure anymore)
- Filtering process for object detection, instance segmentation and semantic segmentation outputs
- Handle print() function for many API objects
- System to find best video writer back-end and codec for video export
- displayIO module (now part of ikomia.utils)
- Warn user when an algorithm is not connected to any other algorithm in a workflow


**Bug fixes**:
- Fix object detection graphics export
- Fix elapsed time computation for training workflows
- Fix JSON serialization of image I/O
- Fix wrong output filenames on batch processing
- Fix synchronous download method for workflow tasks
- ...

**Improvements**:
- Timeout support while writing videos
- Add Python bindings for executeActions() for classes inheriting ikomia.core.CWorkflowTask
- Add download method in ikomia.core.CWorkflowTask
- Improve logging system
- Update and fix documentation
- Let training task starts if Tensorboard initialization failed

**Bug fixes**:
- Manage invalid ID passed to ikomia.dataprocess.CWorkflow.getTask()
- Fix legend image for semantic segmentation output
- Auto-completion process skip invalid plugins
- ...

**New features**:
- New algorithms from the Ikomia HUB: YoloV7, Open MMlab object detection, SparseInst (training and inference)
- Add filtering tasks for object detection, instance segmentation and semantic segmentation
- Add display for text data (Python data dict output for example)
- Add feature to blacklist Python packages that confict with Ikomia built-in packages
- Manage new workflow I/O: object detection, instance segmentation, semantic segmentation
- Add automatic I/O conversion between different types (ex: object detection output -> graphics input)


**Improvements**:
- Manage compilation architecture for C++ algorithms from Ikomia HUB


**Bug fixes**:
- Disable Tensorboard auto-start to avoid algorithm installation failure
- ...