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Dimitri Korsch 0066240ed1 fixed setting of the label in the result creation 4 роки тому
labels 0f91fb4a2a added flat model label reader 4 роки тому
migrations 1ab5050a2f reworked DB models to SQLAlchemy 4 роки тому
models e834fa0aa2 fixed class id to label mapping 4 роки тому
pycs 0066240ed1 fixed setting of the label in the result creation 4 роки тому
test 5fbe871c64 renamed attribute identifier -> id 4 роки тому
webui 5fbe871c64 renamed attribute identifier -> id 4 роки тому
.dockerignore 1259a4330a Resolve "Dockerfile" 4 роки тому
.gitignore c855f64876 Resolve "backend storage system" 4 роки тому
.gitlab-ci.yml 1df7964c29 Resolve "more tests" 4 роки тому
Dockerfile 1259a4330a Resolve "Dockerfile" 4 роки тому
README.md 1259a4330a Resolve "Dockerfile" 4 роки тому
app.py 1ab5050a2f reworked DB models to SQLAlchemy 4 роки тому
docker-compose.yml aae942a54b added a requirements and a docker-compose files 4 роки тому
requirements.txt c40e60914d fixing bugs resulting from the change 4 роки тому
settings.json 11397a1a7e fixed database related stuff 4 роки тому

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