README.md

Omni-VideoAssistant

Training and Dataset will be released soon. A more powerful model is on the way. We also provide the online demo.

📝 Updates

• [2023.12.09] 🤗Hugging Face A Better Model V6.1 are available now! Welcome to watch this repository for the latest updates.
• [2023.12.06] Gradio & CLI Inference Demo are available now.
• [2023.12.01] 🤗Hugging Face Preview Model are available now!

💡 I also have other video-language projects that may interest you ✨.

OmniDataComposer: A Unified Data Structure for Multimodal Data Fusion and Infinite Data Generation
Dongyang Yu, Shihao Wang, Yuan Fang, Wangpeng An

🔨 Preparation

git clone https://github.com/wanghao-cst/Omni-VideoAssistant
cd Omni-VideoAssistant

conda create -n omni python=3.10 -y
conda activate omni
pip install --upgrade pip
pip install -e .

🌟 Start here

Download Omni Preview Model

Download for CLI inference only, gradio web UI will download it automatically. Before switch to other video or image, please click "Clear history" first. Otherwise, it will generate answer related to the last input. Omni Preview Model 6.1

Inference in Gradio Web UI

CUDA_VISIBLE_DEVICES=0 python -m  llava.serve.gradio_demo

Inference in CLI

CUDA_VISIBLE_DEVICES=0 python -m llava.eval.run_omni \
    --model-path "path to omni checkpoints" \
    --image-file "llava/serve/examples/extreme_ironing.jpg" \
    --query "What is unusual about this image?"
CUDA_VISIBLE_DEVICES=0 python -m llava.eval.run_omni \
    --model-path "path to omni checkpoints" \
    --video-file "llava/serve/examples/0A8CF.mp4" \
    --query "Describe the activity in the video"

🔥 Results Comparison

Image understanding

Video understanding

😊 Acknowledgment

This work is based on MVCE for unlimited training data generation., LLaVA for pretrained model