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https://github.com/sapfir0/premier-eye
Program for detecting objects
https://github.com/sapfir0/premier-eye
ai detecting-objects docker opencv premier-eye spa
Last synced: 2 months ago
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Program for detecting objects
- Host: GitHub
- URL: https://github.com/sapfir0/premier-eye
- Owner: Sapfir0
- License: mit
- Created: 2019-07-07T20:49:27.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-04-17T00:40:23.000Z (10 months ago)
- Last Synced: 2024-11-08T13:45:57.867Z (3 months ago)
- Topics: ai, detecting-objects, docker, opencv, premier-eye, spa
- Language: Python
- Homepage:
- Size: 5.23 MB
- Stars: 16
- Watchers: 3
- Forks: 3
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## Premier-eye
### Program for detecting objects[![Build Status](https://travis-ci.org/Sapfir0/web-premier-eye.svg?branch=master)](https://travis-ci.org/Sapfir0/web-premier-eye)
[![Maintainability](https://api.codeclimate.com/v1/badges/ef55c9ea14c7f84c57ef/maintainability)](https://codeclimate.com/github/Sapfir0/premier-eye/maintainability)Premier-eye required to create the data and output folder on the device before starting work, and place the images there for recognition work.
## Module for detecting objects
Requirements for local use:
- Python >= 3.6For run module you need run API & SPA for send data or set variable `sendRequestToServer` in Premier-eye.DS/config/config.ini to `false`
Docker use:
cd Premier-eye.DS
docker-compose up --buildOn windows, gpu in docker not implemented now
On linux, use `nvidia-docker`## API & SPA
Run main docker-compose file:
docker-compose up --build
## Nomeroff-net
For separately use:
docker build -t nn . && docker run -p 5051:5051 nn## Algorithms
* Mask R-CNN
* Implementation in neural_network/mask
* [Example of work](https://yadi.sk/d/TgdGg0hRAFxS8g)
### Information for dev-ops
If the connection cannot be established, check with `docker network inspect @ netName @` ip address to which it is connected
server, and if necessary, change the parameter `API_URL`.