An open-source framework for building multimodal AI systems that enable large language models to understand and chat about videos and images.
Ask-Anything (VideoChat Family) is an open-source framework that enables large language models to understand and converse about video and image content. It solves the problem of multimodal video understanding by providing models, benchmarks, and tools that allow AI systems to analyze visual media and answer questions about it. The project includes VideoChat2 for end-to-end video chatting and MVBench for comprehensive evaluation.
AI researchers and engineers working on multimodal systems, computer vision, and natural language processing who need tools for video understanding and vision-language model development.
Developers choose this project because it provides state-of-the-art open-source models for video understanding, comprehensive benchmarks for evaluation, and support for multiple LLMs in a reproducible framework that advances research in multimodal AI.
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
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VideoChat2_HD variant fine-tuned for high-resolution data excels in detailed captioning, achieving 54.8% on Video-MME benchmark, as noted in the updates.
MVBench is a CVPR-accepted multi-modal video understanding benchmark that provides robust evaluation metrics, helping researchers measure performance accurately.
Compatible with various LLMs like ChatGPT, StableLM, and Mistral, allowing flexibility without external API dependencies, as shown in the different build options.
Utilizes 2M diverse instruction data for tuning, enhancing model capability on diverse tasks, detailed in the DATA.md file.
Multiple branches and dependencies for different LLMs, such as vllm for speedup, make initial configuration challenging and time-consuming.
Video processing and LLM inference require substantial GPU resources, with high-resolution models needing significant memory, limiting accessibility on standard hardware.
Frequent updates like VideoChat-Flash and TPO introduce breaking changes and potential instability, complicating long-term project maintenance.