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Dimitri Korsch 92e3624a12 adapted moth scanner преди 3 години
labels 92e3624a12 adapted moth scanner преди 3 години
migrations d272f7c26d added tests for file upload and removal. fixed some bugs преди 4 години
models 92e3624a12 adapted moth scanner преди 3 години
pycs 63bbf031fe added logger config in the settings.json; replaced all prints with app.logger.info/.debug преди 3 години
tests 63bbf031fe added logger config in the settings.json; replaced all prints with app.logger.info/.debug преди 3 години
webui 106ba4785d some minor WebUI fixes преди 3 години
.coveragerc fa28cb9780 added a Makefile and converagerc file преди 4 години
.dockerignore 1259a4330a Resolve "Dockerfile" преди 4 години
.editorconfig 05fab88a78 implemented first version of the crop view. Moved image operations to a separate utils module преди 4 години
.gitignore fa28cb9780 added a Makefile and converagerc file преди 4 години
.gitlab-ci.yml dc9ce6a951 [ci skip] report of the coverage is duplicated преди 3 години
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Dockerfile 1259a4330a Resolve "Dockerfile" преди 4 години
Makefile 1bde8fc4e2 ignoring resource warnings, when running coverage tests преди 3 години
README.md 1259a4330a Resolve "Dockerfile" преди 4 години
app.py b5d784be18 deleted Database class. Reworked all view, so that they don't need a database instance преди 4 години
docker-compose.yml 59603d7eba Ammod преди 4 години
requirements.dev.txt 0c8332a22d CI changes: преди 4 години
requirements.txt ccdfae6b81 forgot a dependency преди 4 години
settings.json 63bbf031fe added logger config in the settings.json; replaced all prints with app.logger.info/.debug преди 3 години

README.md

PyCS

pipeline status coverage report made-with-python made-with-vuejs

PyCS is a python tool to use and fit machine learning models using any modern web browser.

Requirements

  • python 3.6 + pip
  • nodejs 14 + npm

Getting Started

CI Builds

Download the latest version and unzip it. Execute the following commands using a command prompt:

  • create and activate a virtual python environment

    python -m venv env
    source env/bin/activate
    
  • install python dependencies

    pip install numpy opencv-python Pillow scipy
    pip install eventlet flask python-socketio
    
  • start server

    python app.py
    

Docker

Docker is the preferred way to quickly start a PyCS instance without requiring any more software or libraries on your system.

  • build image with tag pycs

    docker build -t pycs .
    
  • start container

    docker run -p 5000:5000 pycs
    

Development

Use git to clone this repository or download the latest version as a zip file. Execute the following commands using a command prompt:

  • create and activate a virtual python environment

    python -m venv env
    source env/bin/activate
    
  • install python dependencies

    pip install numpy opencv-python Pillow scipy
    pip install eventlet flask python-socketio
    
  • start server

    python app.py
    
  • change directory to webui

    cd webui/
    
  • install vuejs and other dependencies

    npm install
    
  • start frontend

    npm run serve