msf4-0 / SimpleFlowFinalDesign

A simple to use node-based GUI for creating multipurpose flows, such as those for training models to perform computer vision tasks.

SimpleFlow

A simple to use node-based GUI for creating multipurpose flows, such as those for training models to perform computer vision tasks.

Installation

1. Install Node.js and npm

(Linux)

sudo apt update
sudo apt install Node.js
sudo apt install npm

(Windows)

Download and install https://nodejs.org/en/download

2. Install Python and pip

(Linux)

sudo apt update
sudo apt-get install python3
sudo apt-get install python3-pip python-dev

(Windows)

Download and install https://www.python.org/downloads/windows/

3. Install Git

(Linux)

sudo apt-get install git

(Windows)

Download and install https://git-scm.com/download/win

4. (Optional) Clone xArm-Python-SDK github repository

If you want to download and install the SDK to control the uFactory xArm, run the following command:

git clone https://github.com/xArm-Developer/xArm-Python-SDK.git
cd xArm-Python-SDK
python setup.py install
cd ..

5. Clone SimpleFlow github repository

In cmd on Windows or Terminal on Linux:

git clone https://github.com/msf4-0/SimpleFlowFinalDesign

6. Create a new React project using Vite

cd SimpleFlow
npm create vite@latest my-react-flow-app -- --template react
npm install reactflow --force
cd my-react-flow-app
npm install

7. Run the setup file

(Linux)

cd ..
sudo chmod +x setup.sh
./setup.sh

(Windows)

cd ..
setup.cmd

8. Run the install file (Windows only)

If you have a CUDA-capable GPU, you can install the GPU version of PyTorch. You can verify that you have a CUDA-capable GPU through the Display Adapters section in the Windows Device Manager. Here you will find the vendor name and model of your graphics card(s). If you have an NVIDIA card that is listed in https://developer.nvidia.com/cuda-gpus, that GPU is CUDA-capable. To install the GPU version of PyTorch along with other packages, run the following command:

install_gpu.cmd

Otherwise, install the CPU version of PyTorch along with other packages:

install.cmd

9. Run SimpleFlow

(Linux)

simpleflow

(Windows) In cmd in SimpleFlow directory paste the following:

simpleflow.cmd

or double-click on simpleflow.cmd file

Docs

For all nodes guide Nodes Guide

For creating your first flow Flow Guide

For how to get started with MQTT MQTT Guide

For how to create a custom library Custom Library Guide

For tutorial videos Simple Flow Youtube Channel