dekun
56 lines
2.0 KiB
Bash
56 lines
2.0 KiB
Bash
#!/usr/bin/env bash
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# 在带 NVIDIA 显卡的 Linux 机器上安装 OCR Worker（由 deploy/install.sh 自动调用）
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set -euo pipefail
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ROOT="$(cd "$(dirname "$0")" && pwd)"
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VENV="${ROOT}/.venv"
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PORT="${OCR_PORT:-23567}"
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PIP_MIRROR="${PIP_MIRROR:-https://pypi.tuna.tsinghua.edu.cn/simple}"
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echo "==> OCR Worker 安装目录: ${ROOT}"
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if ! command -v python3 >/dev/null; then
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echo "错误: 请先安装 python3"
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exit 1
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fi
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if [[ -d "${VENV}" ]]; then
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echo "==> 已有虚拟环境，跳过 python3 -m venv"
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else
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python3 -m venv "${VENV}"
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fi
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# shellcheck disable=SC1091
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source "${VENV}/bin/activate"
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pip install -U pip wheel -i "${PIP_MIRROR}"
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install_paddle() {
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local use_gpu="${OCR_USE_GPU:-false}"
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if [[ "${use_gpu}" == "true" ]] && command -v nvidia-smi >/dev/null 2>&1 && ldconfig -p 2>/dev/null | grep -q libcudnn; then
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local cuda_major
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cuda_major="$(nvidia-smi 2>/dev/null | sed -n 's/.*CUDA Version: \([0-9]*\)\.[0-9]*/\1/p' | head -1)"
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cuda_major="${cuda_major:-11}"
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echo "==> 安装 paddlepaddle-gpu (CUDA ${cuda_major}.x)…"
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if [[ "${cuda_major}" -ge 12 ]]; then
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pip install paddlepaddle-gpu==2.6.2 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/ \
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|| pip install paddlepaddle-gpu==2.6.2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
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else
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pip install paddlepaddle-gpu==2.6.2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
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fi
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else
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echo "==> 安装 paddlepaddle CPU（无 cuDNN 或 OCR_USE_GPU=false）…"
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pip install paddlepaddle==2.6.2 -i "${PIP_MIRROR}"
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fi
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pip install 'protobuf>=3.20,<4' -q
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}
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install_paddle
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pip install -r "${ROOT}/requirements.txt" -i "${PIP_MIRROR}"
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chmod +x "${ROOT}/run.sh" "${ROOT}/start.sh" 2>/dev/null || true
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echo ""
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python3 -c "import fastapi, uvicorn, paddle; print('paddle', paddle.__version__, 'OK')"
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echo ""
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echo "==> OCR Worker 安装完成。由 deploy/install.sh 通过 screen 自动启动。"
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echo " 手动管理: bash $(dirname "$ROOT")/ocr-screen.sh status"
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