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add: adding docker file and requirements.txt #408

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26 changes: 26 additions & 0 deletions Dockerfile
Original file line number Diff line number Diff line change
@@ -0,0 +1,26 @@
FROM pytorch/pytorch:1.11.0-cuda11.3-cudnn8-devel

RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub && \
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub

RUN apt-get update && \
apt-get install -y wget && \
wget -qO - https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | apt-key add - && \
apt-get update && \
apt-get install -y git && \
apt-get install ffmpeg libsm6 libxext6 -y && \
apt install -y libprotobuf-dev protobuf-compiler && \
apt-get clean

RUN pip install --upgrade pip
RUN pip install --upgrade setuptools


WORKDIR /simpswap
COPY ./requirements.txt /simpswap/requirements.txt
RUN pip install -r /simpswap/requirements.txt


# Use external volume for data
ENV NVIDIA_VISIBLE_DEVICES 1
CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--allow-root"]
15 changes: 15 additions & 0 deletions README.md
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Expand Up @@ -188,6 +188,21 @@ For academic and non-commercial use only.The whole project is under the CC-BY-NC

[![logo](./docs/img/vggface2_hq_compare.png)](https://github.com/NNNNAI/VGGFace2-HQ)

## Installation

```bash
# Git clone
git clone <repo>
# Download weights
bash download_weights.sh
# Build Docker file
docker build -t simswap .
# Run docker file
docker run -it -v <local path of simpSwap Git>:/simpswap --gpus=all -p 8888:8888 simswap:latest
# Access jupyter notebook
http://localhost:8888/tree/simpswap
```

Learn about our other projects

[[VGGFace2-HQ]](https://github.com/NNNNAI/VGGFace2-HQ);
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11 changes: 11 additions & 0 deletions requirements.txt
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jupyter
autopep8
sets
isort
Pillow
insightface==0.2.1
onnxruntime
moviepy
imageio==2.4.1
numpy==1.19.5
lpips