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Premier-eye\n### Program for detecting objects\n\n[![Build Status](https://travis-ci.org/Sapfir0/web-premier-eye.svg?branch=master)](https://travis-ci.org/Sapfir0/web-premier-eye)\n[![Maintainability](https://api.codeclimate.com/v1/badges/ef55c9ea14c7f84c57ef/maintainability)](https://codeclimate.com/github/Sapfir0/premier-eye/maintainability)\n\nPremier-eye required to create the data and output folder on the device before starting work, and place the images there for recognition work.\n\n\n## Module for detecting objects\n\nRequirements for local use:\n- Python \u003e= 3.6\n\nFor run module you need run API \u0026 SPA for send data or set variable `sendRequestToServer` in Premier-eye.DS/config/config.ini to `false`\n\nDocker use:\n\n    cd Premier-eye.DS\n    docker-compose up --build\n\nOn windows, gpu in docker not implemented now\nOn linux, use `nvidia-docker`\n\n## API \u0026 SPA\n\nRun main docker-compose file:\n\n    docker-compose up --build\n\n## Nomeroff-net\n\nFor separately use:\n    \n    docker build -t nn . \u0026\u0026 docker run -p 5051:5051 nn\n\n\n## Algorithms\n\n* Mask R-CNN\n    * Implementation in neural_network/mask\n    * [Example of work](https://yadi.sk/d/TgdGg0hRAFxS8g)\n\n \n\n\n### Information for dev-ops\n\nIf the connection cannot be established, check with `docker network inspect @ netName @` ip address to which it is connected\nserver, and if necessary, change the parameter `API_URL`.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsapfir0%2Fpremier-eye","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsapfir0%2Fpremier-eye","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsapfir0%2Fpremier-eye/lists"}