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* OpenVINO installation * Separate tf_annotation -> tf_annotation and cuda support. * TF Annotation app now supports openVino backend * Doc for CUDA component * OpenVINO Readme file was added * OpenVINO env and pip requirements for model optimizer * Update logging * TF annotation Readme file was added * Update CHANGELOG * Keep aspect ratio for image, not reverse input channels * Move analytics into components |
7 years ago | |
|---|---|---|
| .. | ||
| README.md | 7 years ago | |
| docker-compose.openvino.yml | 7 years ago | |
| eula.cfg | 7 years ago | |
| install.sh | 7 years ago | |
README.md
Intel OpenVINO toolkit
Requirements
- Intel Core with 6th generation and higher or Intel Xeon CPUs.
Preparation
- Download latest OpenVINO toolkit for Ubuntu 16.04 platform. It should be .tgz archive. Minimum required version is 2018.3.*
- Put downloaded file into components/openvino
- Accept EULA in the eula.cfg file
Build docker image
# From project root directory
docker-compose -f docker-compose.yml -f components/openvino/docker-compose.openvino.yml build
Run docker container
# From project root directory
docker-compose -f docker-compose.yml -f components/openvino/docker-compose.openvino.yml up -d