Model Card for Model ID
https://showlab.github.io/videollm-online/
Model Details
- LLM: meta-llama/Meta-Llama-3-8B-Instruct
- Vision Strategy:
- Frame Encoder: google/siglip-large-patch16-384
- Frame Tokens: CLS Token + Avg Pooled 3x3 Tokens
- Frame FPS: 2 for training, 2~10 for inference
- Frame Resolution: max resolution 384, with zero-padding to keep aspect ratio
- Video Length: 10 minutes
- Training Data: Ego4D Narration Stream 113K + Ego4D GoalStep Stream 21K
Model Sources
- Repository: https://github.com/showlab/videollm-online
- Paper: https://arxiv.org/abs/2406.11816
Uses
- First, clone the github repository and follow the installation instruction:
git clone https://github.com/showlab/videollm-online
Ensure you have Miniconda and Python version >= 3.10 installed, then run:
conda install -y pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
pip install transformers accelerate deepspeed peft editdistance Levenshtein tensorboard gradio moviepy submitit
pip install flash-attn --no-build-isolation
PyTorch source will make ffmpeg installed, but it is an old version and usually make very low quality preprocessing. Please install newest ffmpeg following:
wget https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-amd64-static.tar.xz
tar xvf ffmpeg-release-amd64-static.tar.xz
rm ffmpeg-release-amd64-static.tar.xz
mv ffmpeg-7.0.1-amd64-static ffmpeg
If you want to try our model with the audio in real-time streaming, please also clone ChatTTS.
pip install omegaconf vocos vector_quantize_pytorch cython
git clone git+https://github.com/2noise/ChatTTS
mv ChatTTS demo/rendering/
- Launch the gradio demo locally with:
python -m demo.app --resume_from_checkpoint chenjoya/videollm-online-8b-v1plus
- Or launch the CLI locally with:
python -m demo.cli --resume_from_checkpoint chenjoya/videollm-online-8b-v1plus
Citation
@inproceedings{videollm-online,
author = {Joya Chen and Zhaoyang Lv and Shiwei Wu and Kevin Qinghong Lin and Chenan Song and Difei Gao and Jia-Wei Liu and Ziteng Gao and Dongxing Mao and Mike Zheng Shou},
title = {VideoLLM-online: Online Video Large Language Model for Streaming Video},
booktitle = {CVPR},
year = {2024},
}
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meta-llama/Meta-Llama-3-8B-Instruct