This is a Simple OCR Text Detection System (and Filtering for the photos) Using Python

• These instructions will get you a copy of the project up and running on your local machine for text detection and filtering purposes.
• The project consists of two separate files:
  • main.py: contains the model with the interface to use it
  • cleanimages.py: script to filter the photos based on specific criteria
• Both files are independat, you can use cleanimage.py to filter the photos you want to put in the input folder
• Then you use the model to detect the text on the photos you input

• Python 3: Ensure Python 3 is installed on your system. You can download and install Python from the official Python website.
• Virtual Environment: It's recommended to use a virtual environment to manage project dependencies.
• You can create a virtual environment using venv or virtualenv.
• OpenCV: OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. You can install it using

  pip: pip install opencv-python.

• EasyOCR: EasyOCR is an easy-to-use optical character recognition (OCR) tool. You can install it using pip:

  pip install easyocr.

• NumPy: NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays. You can install it using pip:

  pip install numpy.

• Clone the repository to your local machine using git (ssh - http- zip file) as you want.
• Navigate to the project directory
• Create and activate a virtual environment:

  python -m venv venv
  source venv/bin/activate
  venv\Scripts\activate

• Install the required dependencies:

  pip install -r requirements.txt

• Run the Python scripts to perform text detection and filtering.

• Python programming language: Python is a high-level, interpreted programming language known for its simplicity and readability.

• OpenCV: OpenCV is a library of programming functions mainly aimed at real-time computer vision.

• EasyOCR: EasyOCR is an easy-to-use optical character recognition (OCR) tool.

• NumPy: NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices.

• Mohamed Abusaif - Initial work - Mohamed-Abusaif

This project is licensed under the MIT License - see the LICENSE.md file for details