PixelTrace is an innovative project aimed at analyzing and tracing pixel data from images. It applies advanced techniques to ensure accurate pixel-level analysis, making it an ideal tool for image processing, computer vision tasks, and research purposes.
We have published a detailed research paper on PixelTrace, which outlines the methodologies, results, and applications of the tool. You can access the full paper here.
- Pixel Analysis: Efficient analysis of pixel data across a wide variety of image formats.
- Image Tracing: Accurate tracing of pixel paths for further processing.
- Customizable Algorithms: Flexible and modular architecture for integrating custom image analysis algorithms.
- Performance Optimization: Built with performance in mind to handle large-scale image datasets efficiently.
- Python 3.x
- OpenCV
- Other dependencies listed in
requirements.txt
- Clone this repository:
git clone https://github.com/NagareYash/PixelTrace.git
- Navigate to the project directory:
cd pixeltrace - Install the required dependencies:
pip install -r requirements.txt
- Prepare your dataset of images.
- Use the following command to start analyzing the pixel data:
python pixeltrace.py
Contributions are welcome! If you have any suggestions or improvements, please feel free to open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.