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🚀 Advanced Industrial Machine Vision & AI Quality Inspection

Revolutionizing automated defect detection and smart manufacturing through Deep Learning and Edge AI.

Robopipe Studio is an open-source software designed for capturing and processing image data, labeling images, and training and deploying offline machine learning models on Edge-Compute hardware (Luxonis). It provides a user-friendly interface for managing image datasets, annotating images, and building offline computer vision applications.

📹 Capture, Label, Train and Infer

Operators can label and fine-tune datasets using an intuitive interface, specifically engineered to handle complex, non-rigid products where traditional rule-based vision systems fail. Optimized models are deployed via robopipe API to Edge-Compute hardware (Luxonis) for real-time inference in manufacturing processes.

Capture Capture Label Label
Train Train Inference Infer

📑 Documentation

To learn more about Robopipe Studio, please visit the Robopipe Documentation.

🛠 Running the app

Using Docker

Prerequisites

  • Docker

  1. Clone the repository:

    git clone https://github.com/Robopipe/Studio.git

  2. Build the Docker image:

    cd Studio
docker build -t robopipe-studio .

  3. Run the Docker container:

    docker run -p 8000:8000 robopipe-studio

From source

Prerequisites

  • Python 3.8 or higher
  • Git

  1. Clone the repository:

    git clone https://github.com/Robopipe/Studio.git

  2. Navigate to the project directory:

    cd Studio

  3. Install the required dependencies:

    a) Install dependencies for API:

     python3 -m venv .venv
 source .venv/bin/activate
 python3 -m pip install poetry
 poetry install
 python3 label_studio/manage.py collectstatic

    (optional) Install base NN models:

     python3 label_studio/manage.py installmodels --all

    b) Install dependencies for Frontend:

     cd web
 yarn install

  4. Build the frontend:

    yarn ls:build

  5. Run the application:

    cd ..
python3 label_studio/manage.py runserver

📬 Feedback

Robopipe values all your feedback. If you encounter any problems with the app, please open a GitHub issue for anything related to this app - bugs, improvement suggestions, documentation, developer experience, etc.

👫 Community

Join our Robopipe subreddit to share your apps, ask any questions regarding Robopipe, get help debugging your apps, or simply to read more about Robopipe from our users.