mmdeploy/tools/package_tools/README.md

Precompiled package

This document is going to describe the way to build MMDeploy package.

Prerequisites

• Download and install Miniconda from the official website.

• Create conda environments for python 3.6, 3.7, 3.8, 3.9 and 3.10, respectively.

  for PYTHON_VERSION in 3.6 3.7 3.8 3.9 3.10
  do
    conda create --name mmdeploy-$PYTHON_VERSION python=$PYTHON_VERSION -y
  done
  

• Prepare MMDeploy dependencies

  Please follow the build-on-Linux guide or build-on-Windows guide to install dependencies of MMDeploy, including PyTorch, MMCV, OpenCV, ppl.cv, ONNX Runtime and TensorRT.

  Make sure the environment variables pplcv_DIR, ONNXRUNTIME_DIR, TENSORRT_DIR, CUDNN_DIR and CUDA_TOOLKIT_ROOT_DIR are exported.

Run precompiled command

• On Linux platform,

  conda activate mmdeploy-3.6
  pip install pyyaml packaging
  cd the/root/path/of/mmdeploy
  python tools/package_tools/generate_build_config.py --backend 'ort' \
            --system linux --build-mmdeploy --device cpu --build-sdk \
            --build-sdk-monolithic --build-sdk-python --sdk-dynamic-net \
            --output config.yml
  python tools/package_tools/mmdeploy_builder.py --config config.yml --output-dir pack
  

• On Windows platform, open Anaconda Powershell Prompt from the start menu and execute:

  conda activate mmdeploy-3.6
  pip install pyyaml packaging
  cd the/root/path/of/MMDeploy
  python tools/package_tools/generate_build_config.py --backend 'ort' \
            --system windows --build-mmdeploy --device cpu --build-sdk \
            --build-sdk-monolithic --build-sdk-python --sdk-dynamic-net \
            --output config.yml
  python tools/package_tools/mmdeploy_builder.py --config config.yml --output-dir pack