Windows PaddleOCR Installation Guide

PaddleOCR is an OCR (Optical Character Recognition) toolkit based on the PaddlePaddle deep learning platform, which can be used for tasks such as text recognition, text detection, and text direction detection. Below are the installation steps and a simple example of using PaddleOCR on a Windows system.

1. Ensure that you have Python environment installed, it is recommended to use Anaconda to manage the Python environment.
2. Open Anaconda Prompt (if using Anaconda) or open the command line terminal.
3. Create and activate a new virtual environment (optional but recommended):
4. Create a new environment named paddleocr with Python version 3.7 using conda.
   Activate the paddleocr environment.
5. Install the PaddlePaddle deep learning platform.
6. Install the PaddlePaddle GPU version 2.1.0 with CUDA toolkit 10.2 using the following command: “conda install paddlepaddle-gpu==2.1.0 cudatoolkit=10.2 -c paddle”
7. Install PaddleOCR:
8. Install paddlepaddle and paddleocr using pip.
9. Download pre-trained model file.
10. Download the Chinese models for PaddleOCR.
11. Run a simple example code:
12. import paddleocr

    # Create an OCR recognizer
    ocr = paddleocr.OCR()

    # Read the image
    img_path = ‘path/to/your/image.jpg’
    img = paddleocr.read_image(img_path)

    # Perform text recognition
    result = ocr.ocr(img)

    # Display the recognition results
    for line in result:
    print(‘ ‘.join([word_info[-1] for word_info in line]))

In this way, you have completed the installation and basic usage of PaddleOCR. You can customize more OCR tasks according to your needs, such as text detection, text direction detection, etc. For detailed usage methods, you can refer to the official documentation of PaddleOCR.