* Run tests
* Run tests
* Run tests
* Run tests
* Added rebuild
* Added files for e2e tests
* Added rebuild
* Added rebuild
* Added biuld TensorRT flag
* Changed to use NumPy 1.x for Jetson
* Make universal invocation
* Make Cython constans
* Changed to prepare onnx
* Changed smoke-test to wait AI conversion
* Added step for model conversion
* Changed to not run step in parallel
* Push model to docker registry
* Push model to docker registry
* Push model to docker registry
- Enhanced CI configuration to streamline build processes.
- Updated documentation to clarify setup instructions and usage guidelines.
Made-with: Cursor
- Updated the `Inference` class to replace the `get_onnx_engine_bytes` method with `download_model`, allowing for dynamic model loading based on a specified filename.
- Modified the `convert_and_upload_model` method to accept `source_bytes` instead of `onnx_engine_bytes`, enhancing flexibility in model conversion.
- Introduced a new property `engine_name` to the `Inference` class for better access to engine details.
- Adjusted the `AIRecognitionConfig` structure to include a new method pointer `from_dict`, improving configuration handling.
- Updated various test cases to reflect changes in model paths and timeout settings, ensuring consistency and reliability in testing.
Roman Meshko