Open Source
I am dedicated to open source endeavors, which I believe is the fundamental element for the sustainable development of the AI community. Here are some open source projects I've contributed to or maintained, covering areas from computer vision to deep learning frameworks.
Cookbook to Craft Good Code
In this guide, we'll dive into the essentials of crafting great code. We'll go through everything from how to name things clearly and highlight tools that make coding better and easier.
MMOCR
OpenMMLab Text Detection, Recognition and Understanding Toolbox.
Scene Text Recognition Recommendations
Long-time maintaining project for recording latest papers, datasets, algorithms, and SOTAs for scene text recognition.
OCR-SAM
Combining MMOCR with Segment Anything & Stable Diffusion. Automatically detect, recognize and segment text instances, with several downstream tasks, e.g., Text Removal and Text Inpainting.
Efficient Deep Learning
A collection of resources and techniques for efficient deep learning, covering model compression, pruning, quantization, and knowledge distillation.
Text Recognition on Cross Domain Datasets
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English.
