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edesaras/CircuitSketchRecognition

sourceHugging Facemitupdated 2y agoView on Hugging Face
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App README

Circuit Sketch Recognition 👁

About the App

The Circuit Sketch Recognition app demonstrates the power of AI to recognize hand-drawn circuit diagrams. By leveraging advanced models like TrOCR for text recognition and YOLOv8 for component detection, this app showcases how easily computers can understand sketches (Fine tuned on a CGHD-2304 dataset).

<p align="center"> <img src="media/capture.gif" alt="Capture GIF" width="45%"/> <img src="media/upload.gif" alt="Upload GIF" width="45%"/> </p>

Features

  • —Upload or Capture: Upload a picture of your circuit sketch or use your camera to capture one in real-time.
  • —Dual Display: View both capture and upload options in a side-by-side format for easy access.
  • —Example Gallery: Explore a gallery of recognized sketches to see the accuracy and capabilities of our AI models.

Deployment

Deployed on Streamlit and Hugging Face Spaces:

<a href="https://circuitsketchrecognition.streamlit.app/"> <img src="https://streamlit.io/images/brand/streamlit-mark-color.png" alt="Streamlit" width="30"/> Streamlit App </a>

<a href="https://huggingface.co/spaces/edesaras/CircuitSketchRecognition"> <img src="https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.png" alt="Huggingface" width="30"/> Huggingface App </a>

Getting Started

To get started with the Circuit Sketch Recognition app, simply clone the repository and run the 🤗_Hello.py file with Streamlit:

bash
git clone https://github.com/edesaras/CircuitSketchRecognition.git
streamlit run 🤗_Hello.py