Python EasyOCR + CV Image Cropping with PIL and Jieba for Search Engine Text Processing

Efficiently processing a large batch of images involves minimizing unnecessary recognition to enhance overall operational efficiency and prevent resource wastage. Image cropping emerges as a highly effective method in this context, significantly boosting processing efficiency and reducing storage space requirements. In this context, I've devised a solution that utilizes Selenium in conjunction with a search engine for text data processing. Specifically, I've integrated the solution with the Baidu search engine. The provided code template is a general guideline, and adjustments may be needed for each webpage. A more advanced approach involves leveraging GPT for text data processing. However, GPT faces challenges in text recognition, resulting in lower performance and efficiency compared to other methods. Post-image recognition, it is essential to process the recognized text data.