原项目README

---

title: Video Background Removal emoji: 📽️ colorFrom: purple colorTo: pink sdk: gradio sdk_version: 5.1.0 app_file: app.py pinned: true short_description: Remove/Change background of video. license: mit

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

---

修改内容

• 移除app.py的测试视频
• 加入gradio的share

python 3.10版

克隆项目

git clone https://ghp.ci/https://github.com/xy3xy3/video-background-removal
cd video-background-removal

换源（非必须）

conda config --remove-key channels
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
conda config --set show_channel_urls yes
conda config --show channels
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

环境创建

conda create -n video-background-removal python=3.10.8 -y
conda activate video-background-removal

torch安装 conda版（和下面二选一）

conda install pytorch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 pytorch-cuda=11.8 -c pytorch -c nvidia -y

torch安装 pip版（和上面二选一）

pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2

环境安装

pip install -r requirements.txt

frpc安装

wget https://wp.007irs.com/f/J35g6H4/frpc_linux_amd64
mv frpc_linux_amd64 frpc_linux_amd64_v0.3
chmod +x frpc_linux_amd64_v0.3
mv frpc_linux_amd64_v0.3 /root/miniconda3/envs/video-background-removal/lib/python3.10/site-packages/gradio

加速下载模型（如果不好访问hugging face，推荐先执行这个）

python download.py

运行

python app.py

python 3.11版

克隆项目

git clone https://ghp.ci/https://github.com/xy3xy3/video-background-removal
cd video-background-removal

环境创建

conda create -n video-background-removal python=3.11 -y
conda activate video-background-removal

torch安装(cuda)

conda install pytorch torchvision torchaudio pytorch-cuda=12.4 -c pytorch -c nvidia -y

环境安装

pip install -r requirements.txt

加速下载模型（如果不好访问hugging face，推荐先执行这个）

python download.py

运行

python app.py