Downcodes editor reports: PaddleOCR v2.8.0 is released, bringing a series of exciting updates! As a text recognition development kit under the Paddle Deep Learning open source framework, this version integrates the latest OCR technology, including the winning solution of the PaddleOCR Algorithm Model Challenge, which significantly improves recognition accuracy and efficiency. Not only that, the project structure has also been optimized, solving many historical problems and greatly improving the user experience.
PaddleOCR v2.8.0, as a text recognition development kit under the Paddle Deep Learning open source framework, has released a milestone update. This version introduces cutting-edge OCR technology, including the champion solution of the PaddleOCR Algorithm Model Challenge, such as the scene text recognition algorithm SVTRv2 and the table recognition algorithm SLANet-LCNetV2, setting a new standard for the OCR field.
At the same time, the project structure has been deeply optimized, and non-core modules have been moved to the new warehouse, making the project more focused on the core OCR technology. In addition, historical problems such as model inability to run after updating Backbone, numpy version dependency conflicts, and Mac system running lag have been solved, improving user experience.
The new version also includes repairs to the problem of OCR result loss in layout analysis, the introduction of pyproject.toml to comply with the PEP518 specification, and optimization improvements such as sliding window operations for large image inference, which enhances the stability, compatibility and performance of the software. . The support and contributions of the open source community are crucial to every advancement of PaddleOCR v2.8.0, and the efforts of PMC members and contributors are especially appreciated.
PaddleOCR is building a dedicated site for document tutorials, which will provide keyword search functions and an elegant and comfortable interface.
Project address: https://github.com/PaddlePaddle/PaddleOCR
This update not only achieves a breakthrough in technology, but also reflects the PaddleOCR team's emphasis on user experience and commitment to the open source community. In the future, PaddleOCR will continue to improve to provide developers with more powerful and easier-to-use OCR tools. Looking forward to PaddleOCR bringing more surprises in the future!