Doubango UltimateALPR Docker image with OpenVINO and TensorRT/CUDA support

1. For successful completion of the project we need a Dockerfile that builds an environment for ultimateALPR with OpenVINO and TensorRT/CUDA support. The project has to contain all the necessary files to build the Docker image. 2. We wish to use ultimateALPR API in Golang so you also need to create Golang bindings for the ultimateALPR’s C++ api. The 3 functions that need to be usable in Golang are: init, process and deInit. Golang should be installed in the Dockerfile as well. 3. To simplify the implementation you need to create a small example app in Golang successfully implementing the ultimateALPR API to detect license plates. The example app can use local pictures but the API has to support raw data from rtsp camera streams. The example app must be included in the same Dockerfile. Other requirements: 4. The project has to use the newest available versions of any software. 5. The project has to contain a README file containing all necessary instructions to run the project. 6. We will be running the image on devices with Nvidia GPU-s and running Ubuntu 20.04 operating system and the project needs to support this environment. 7. UltimateALPR is available for testing for free (and has plenty of examples in other languages like Java) and you do not have to include any license to build the project. 8. Links: [login to view URL] [login to view URL] [login to view URL]