If you are not using Linux, do NOT proceed, see instructions for macOS and Windows.
- Clone this repository and navigate to LLaVA folder
git clone https://code.byted.org/ic-research/llava-next-video.git
cd llava-next-video- Install Package
conda create -n llava python=3.10 -y
conda activate llava
pip install --upgrade pip # enable PEP 660 support
pip install -e .-
Example model: liuhaotian/llava-v1.6-vicuna-7b
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Prompt mode: vicuna_v1
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Sampled frames: 32
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Spatial pooling stride: 2
bash scripts/eval/video_description_from_t2v.sh ${Example model} ${Prompt mode} ${Sampled frames} True ${Spatial pooling stride} 8 True ;
# bash scripts/eval/video_description_from_t2v.sh liuhaotian/llava-v1.6-vicuna-7b vicuna_v1 32 True 2 8 True ;- Assume you have a pred.json (model generated predictions) for model llava-v1.6-vicuna-7b at ./work_dirs/eval_video_detail_description/llava-v1.6-vicuna-7b_vicuna_v1_frames_32_stride_2
bash /mnt/bn/vl-research/workspace/yhzhang/llava-next-video/scripts/eval/video_description_eval.sh llava-v1.6-vicuna-7b_vicuna_v1_frames_32_stride_2
