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🔧 [feat] Create Dockerfile for environment setup
- Introduced a Dockerfile based on NVIDIA CUDA and Ubuntu with essential packages and Python dependencies for the LivePortrait application. Ensured the system is prepared for high-performance operations with GPU support.
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docker/Dockerfile
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docker/Dockerfile
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FROM nvidia/cuda:12.0.1-cudnn8-runtime-ubuntu22.04
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# FROM nvidia/cuda:12.5.0-devel-ubuntu22.04
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# FROM pytorch/pytorch:2.3.1-cuda12.1-cudnn8-devel
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WORKDIR /LivePortrait
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# # 必要なシステムパッケージをインストールする
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RUN apt-get update && apt-get install -y \
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git \
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cmake \
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libsm6 \
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libxext6 \
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libxrender-dev \
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libglib2.0-0 \
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libx11-dev
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# システムレベルで必要なパッケージをインストールします
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RUN apt-get update && apt-get install -y python3-pip python3-dev
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# pip をアップグレードする
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RUN pip install --upgrade pip
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# 必要な Python パッケージをインストールする
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COPY requirements.txt .
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RUN pip install -r requirements.txt
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# タイムゾーンを設定する
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# 例としてAsia/Tokyoを設定
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RUN ln -sf /usr/share/zoneinfo/Asia/Tokyo /etc/localtime
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# タイムゾーンを設定
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ENV TZ Asia/Tokyo
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RUN apt-get install libopencv-dev -y
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# 作業ディレクトリを設定する
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WORKDIR /LivePortrait
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