Image Processing with Automatic Text Overlay
Designed an image processing tool to detect optimal text placement using OpenCV and Pillow.
Project Details
- Developed a system to detect optimal text placement on images based on background analysis.
- Utilized OpenCV and Pillow for image analysis, reducing manual text overlay time by 70%.
- Implemented dynamic font size, style, and color selection ensuring text visibility.
- Developed the project in Google Colab for interactive development and fast prototyping.
Technologies Used
Python
OpenCV
Pillow
Google Colab
Links
Key Features
Text Overlay Automation
Automated the process of text placement on images.
Dynamic Adjustments
Dynamic font style, size, and color selection.
Prototyping
Fast prototyping enabled via Google Colab.
Get Started
Ready to dive in? Follow these steps to get started with the project:
- Clone the repository
- Install dependencies
- Set up PostgreSQL database
- Configure environment variables
- Run the FastAPI server