Welcome to ImageFilterPy! This repository showcases a custom image filter designed for the MRTech IFF Python SDK. Here, you'll find a collection of tools and examples that leverage powerful image processing techniques, suitable for various applications in machine vision, low-latency systems, and more.
ImageFilterPy provides a custom image filter that enhances image quality and processing speed. It is built on the MRTech IFF Python SDK, which allows developers to integrate advanced image processing capabilities into their applications. This repository aims to simplify the use of image filters and demonstrate their application in real-world scenarios.
- Custom Image Filter: Tailored specifically for the MRTech IFF SDK.
- Support for Multiple Formats: Handles various image formats like DNG, TIFF, and more.
- GPU Acceleration: Utilizes CUDA and Vulkan for enhanced performance.
- Low Latency: Optimized for real-time processing in machine vision applications.
- REST API Support: Easily integrate with other systems using a RESTful approach.
- Example Demos: Provides practical examples to get you started quickly.
To install ImageFilterPy, follow these steps:
-
Clone the repository:
git clone https://github.com/Sagar-brahaman/imagefilterpy.git cd imagefilterpy -
Install the required packages:
pip install -r requirements.txt
-
Ensure you have the MRTech IFF Python SDK installed. Refer to the SDK documentation for installation instructions.
After installation, you can use the custom image filter in your Python scripts. Here’s a simple example to get you started:
from imagefilter import CustomImageFilter
# Load your image
image_path = 'path/to/your/image.dng'
filter = CustomImageFilter()
# Apply the filter
filtered_image = filter.apply(image_path)
# Save the result
filtered_image.save('path/to/save/filtered_image.tiff')This example demonstrates how to load an image, apply the custom filter, and save the processed image. You can adjust parameters in the CustomImageFilter class to suit your needs.
This repository covers a wide range of topics, including:
- Camera
- CUDA
- Demosaicing
- DNG
- GenICam
- GPU
- H264
- H265
- Image Processing
- Jetson
- JSON
- Low Latency
- Machine Vision
- MIPI
- Python
- REST API
- RTSP
- SDK
- TIFF
- Vulkan
We welcome contributions to ImageFilterPy! If you have ideas for improvements or new features, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix.
- Make your changes and commit them.
- Push to your fork and submit a pull request.
Your contributions help make this project better for everyone!
This project is licensed under the MIT License. See the LICENSE file for details.
For questions or suggestions, feel free to reach out to the repository maintainer:
- Sagar Brahman
- Email: sagar@example.com
- GitHub: Sagar-brahaman
For the latest updates and releases, please visit the Releases section. Here, you can download the latest version and find important information about changes and improvements.
Thank you for checking out ImageFilterPy! We hope you find it useful for your image processing needs. Happy coding!