Skip to content

Latest commit

 

History

History
18 lines (13 loc) · 1.2 KB

README.md

File metadata and controls

18 lines (13 loc) · 1.2 KB

Video Caption

Typically, most video data does not come with corresponding descriptive text, so it is necessary to convert the video data into textual descriptions to provide the essential training data for text-to-video models.

Video Caption via CogVLM2-Video

🤗 Hugging Face   |   🤖 ModelScope   |    📑 Blog    | 💬 Online Demo  

CogVLM2-Video is a versatile video understanding model equipped with timestamp-based question answering capabilities. Users can input prompts such as Please describe this video in detail. to the model to obtain a detailed video caption:

Users can use the provided code to load the model or configure a RESTful API to generate video captions.