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Dimitri Korsch ff1f636711 JobRunner is now singleton		преди 4 години
labels	89daca16e9 Merge branch 'ammod' into alchemy	преди 4 години
migrations	7a4fc8fb3e fixed some bugs	преди 4 години
models	ea8356b91b minor fixes in the tests	преди 4 години
pycs	ff1f636711 JobRunner is now singleton	преди 4 години
test	f3ce674cbe removed Database class. Fixed tests and other places, where it was used	преди 4 години
webui	89daca16e9 Merge branch 'ammod' into alchemy	преди 4 години
.dockerignore	1259a4330a Resolve "Dockerfile"	преди 4 години
.editorconfig	abcbdeb9ae fixed JobRunner and PipelineCache. added Makefile and .editorconfig	преди 4 години
.gitignore	c855f64876 Resolve "backend storage system"	преди 4 години
.gitlab-ci.yml	e5aac193a8 refactored green worker methods. Some import changes in Project module	преди 4 години
Dockerfile	1259a4330a Resolve "Dockerfile"	преди 4 години
Makefile	f11be5453f a very important foreign key fix	преди 4 години
README.md	1259a4330a Resolve "Dockerfile"	преди 4 години
app.py	1ab5050a2f reworked DB models to SQLAlchemy	преди 4 години
docker-compose.yml	aae942a54b added a requirements and a docker-compose files	преди 4 години
requirements.txt	c40e60914d fixing bugs resulting from the change	преди 4 години
settings.json	f11be5453f a very important foreign key fix	преди 4 години
testing.py	ff1f636711 JobRunner is now singleton	преди 4 години

PyCS

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
```