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Improved Raspberry Pi support. A new, fast object detection module with support for the Coral.AI TPU, all within an Arm64 Docker image
All modules can now be installed / uninstalled (rather than having some modules fixed and uninstallble).
Installer is streamlined: Only the server is installed at installation time, and on first run we install Object Detection (Python and .NET) and Face Processing (which can be uninstalled).
Reworking of the Python module SDK. Modules are new child classes, not aggregators of our module runner.
Reworking of the modulesettings file to make it simpler and have less replication
Improved logging: quantity, quality, filtering and better information
Addition of 2 modules: ObjectDetectionTFLite for Object Detection on a on Raspberry Pi using Coral, and Cartoonise for some fun
Improvements to half-precision support checks on CUDA cards
Modules are now versioned and our module registry will now only show modules that fit your current server version.
Various bug fixes
Shared Python runtimes now in runtimes.
All modules moved from the AnalysisLayer folder to the modules folder
