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# VideoChat | |
VideoChat is a multifunctional video question answering tool that combines the functions of Action Recognition, Visual Captioning and ChatGPT. Our solution generates dense, descriptive captions for any object and action in a video, offering a range of language styles to suit different user preferences. It supports users to have conversations in different lengths, emotions, authenticity of language. | |
- Video-Text Generation | |
- Chat about uploaded video | |
- Interactive demo | |
# :fire: Updates | |
- **2023/04/19**: Code Release | |
# :speech_balloon: Example | |
![images](assert/dancing.png) | |
![images](assert/dancing2.png) | |
# :running: Usage | |
```shell | |
# We recommend using conda to manage the environment and use python3.8.16 | |
conda create -n chatvideo python=3.8.16 | |
conda activate chatvideo | |
# Clone the repository: | |
git clone https://github.com/OpenGVLab/Ask-Anything.git | |
cd ask-anything/video_chat | |
# Install dependencies: | |
pip install -r requirements.txt | |
pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz | |
python -m pip install 'git+https://github.com/facebookresearch/detectron2.git' | |
# Download the checkpoints | |
wget https://huggingface.co/spaces/xinyu1205/Tag2Text/resolve/main/tag2text_swin_14m.pth ./pretrained_models/tag2text_swin_14m.pth | |
wget https://datarelease.blob.core.windows.net/grit/models/grit_b_densecap_objectdet.pth ./pretrained_models/grit_b_densecap_objectdet.pth | |
git clone https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback ./pretrained_models/flan-t5-large-finetuned-openai-summarize_from_feedback | |
# Configure the necessary ChatGPT APIs | |
export OPENAI_API_KEY={Your_Private_Openai_Key} | |
# Run the VideoChat gradio demo. | |
python app.py | |
``` | |
# Acknowledgement | |
The project is based on [InternVideo](https://github.com/OpenGVLab/InternVideo), [Tag2Text](https://github.com/xinyu1205/Tag2Text), [GRiT](https://github.com/JialianW/GRiT), [mrm8488](https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback) and [ChatGPT](https://openai.com/blog/chatgpt). Thanks for the authors for their efforts. | |