Machine learning (OpenVINO™ toolkit) |
| Develop a “smart library” application using the OpenVINO™ toolkit. (at collaboration INTEL and Lobachevski University N.Novgorod, Sept 2019 ) |
| https://github.com/itlab-vision/open_model_zoo/tree/Smart-Library | The console version of the “smart library” was prepared for the subsequent creation of a pull request to the Open Model Zoo |
Machine learning (OpenVINO™ toolkit) |
| Develop a software for evaluating the performance of deep models inference using the Intel® Deep Learning Deployment Toolkit of the OpenVINO™ toolkit (At collaboration INTEL and Lobachevski University N.Novgorod, Dec 2019 ) |
| https://github.com/itlab-vision/openvino-dl-benchmark/tree/R5.0.1_2018 | For the OpenVINO R5, the sources of the bench-marking system are tagged at the project repository | |
| https://github.com/itlab-vision/openvino-dl-benchmark | Updates for the inference implementation based on the Inference Engine of the OpenVINOR3 were made | |
| http://hpc-education.unn.ru/files/openvino/R3_result_table.html | Benchmarking results for public models of the Open Model Zoo using theOpenVINO R3 were collected | |
| https://github.com/itlab-vision/openvino-dl-benchmark/pull/85 | Scripts for automatic deployment of bench-marking system prepared |