Merge branch 'main' of https://github.com/QwenLM/Qwen2.5-VL

README.md

@@ -110,6 +110,19 @@ If you are not using Linux, you might not be able to install `decord` from PyPI.
 
 We are preparing [cookbooks](https://github.com/QwenLM/Qwen2.5-VL/tree/main/cookbooks) for many capabilities, including recognition, localization, document parsing, video understanding, key information extraction, and more. Welcome to learn more!
 
+## Cookbooks
+
+| Cookbook | Description | Open |
+| -------- | ----------- | ---- |
+| [Universal Recognition](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/universal_recognition.ipynb) | Not only identify animals, plants, people, and scenic spots but also recognize various objects such as cars and merchandise. | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/universal_recognition.ipynb) |
+| [Powerful Document Parsing Capabilities](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/document_parsing.ipynb) | The parsing of documents has reached a higher level, including not only text but also layout position information and our Qwen HTML format. | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/document_parsing.ipynb) |
+| [Precise Object Grounding Across Formats](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/spatial_understanding.ipynb) | Using absolute position coordinates, it supports both boxes and points, allowing for diverse combinations of positioning and labeling tasks. | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/spatial_understanding.ipynb) |
+| [General OCR and Key Information Extraction](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/ocr.ipynb) | Stronger text recognition capabilities in natural scenes and multiple languages, supporting diverse key information extraction needs. | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/ocr.ipynb) |
+| [Video Understanding](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/video_understanding.ipynb) | Better video OCR, long video understanding, and video grounding. | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/video_understanding.ipynb) |
+| [Mobile Agent](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/mobile_agent.ipynb) | Locate and think for mobile phone control. | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/mobile_agent.ipynb) |
+| [Computer-Use Agent](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/computer_use.ipynb) | Locate and think for controlling computers and Web. | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/QwenLM/Qwen2.5-VL/blob/main/cookbooks/computer_use.ipynb) |
+
+
 ### Using 🤗  Transformers to Chat
 
 Here we show a code snippet to show you how to use the chat model with `transformers` and `qwen_vl_utils`: