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Installation

Contents

Requirements

BASICSR_EXT and BASICSR_JIT Environment Variables

If you want to use PyTorch C++ extensions:
 deformable convolution: dcn for EDVR (For torchvision>=0.9.0, we use the official torchvision.ops.deform_conv2d instead)
 StyleGAN customized operators: upfirdn2d and fused_act for StyleGAN2
you also need to:

  1. compile the PyTorch C++ extensions during installation
  2. OR load the PyTorch C++ extensions just-in-time (JIT)

You may choose one of the options according to your needs.

Option Pros Cons Cases Env Variable
Compile PyTorch C++ extensions during installation Quickly load the compiled extensions during running May have more stringent requirements for the environment, and you may encounter annoying issues If you need to train/inference those models for many times, it will save your time Set BASICSR_EXT=True during installation
Load PyTorch C++ extensions just-in-time (JIT) Have less requirements, may have less issues Each time you run the model, it will takes several minutes to load extensions again If you just want to do simple inferences, it is more convenient Set BASICSR_JIT=True during running (not installation)

For those who need to compile the PyTorch C++ extensions during installation, remember:

  • Make sure that your gcc and g++ version: gcc & g++ >= 5

Note that:

  • The BASICSR_JIT has higher priority, that is, even you have successfully compiled PyTorch C++ extensions during installation, it will still load the extensions just-in-time if you set BASICSR_JIT=True in your running commands.
  • ❌ Do not set BASICSR_JIT during installation. Installation commands are in Installation Options.
  • ✔️ If you want to load PyTorch C++ extensions just-in-time (JIT), just set BASICSR_JIT=True before your running commands. For example, BASICSR_JIT=True python inference/inference_stylegan2.py.

If you do not need those PyTorch C++ extensions, just skip it. There is no need to set BASICSR_EXT or BASICSR_JIT environment variables.

Installation Options

There are two options to install BASICSR, according to your needs.

  • If you just want to use BASICSR as a package (just like GFPGAN and ), it is recommended to install from PyPI.
  • If you want to investigate the details of BASICSR OR develop it OR modify it to fulfill your needs, it is better to install from a local clone.

Install from PyPI

  • If you do not need C++ extensions (more details are here):

    pip install basicsr

  • If you want to use C++ extensions in JIT mode without compiling them during installatoin (more details are here):

    pip install basicsr

  • If you want to compile C++ extensions during installation, please set the environment variable BASICSR_EXT=True:

    BASICSR_EXT=True pip install basicsr

    The compilation may fail without any error prints. If you encounter running errors, such as ImportError: cannot import name 'deform_conv_ext' | 'fused_act_ext' | 'upfirdn2d_ext', you may check the compilation process by re-installation. The following command will print detailed log:

    BASICSR_EXT=True pip install basicsr -vvv

    You may also want to specify the CUDA paths:

    CUDA_HOME=/usr/local/cuda \
CUDNN_INCLUDE_DIR=/usr/local/cuda \
CUDNN_LIB_DIR=/usr/local/cuda \
BASICSR_EXT=True pip install basicsr

Install from a local clone

  1. Clone the repo

    git clone https://github.com/xinntao/BasicSR.git

  2. Install dependent packages

    cd BasicSR
pip install -r requirements.txt

  3. Install BasicSR
    Please run the following commands in the BasicSR root path to install BasicSR:

    • If you do not need C++ extensions (more details are here):

      python setup.py develop

    • If you want to use C++ extensions in JIT mode without compiling them during installatoin (more details are here):

      python setup.py develop

    • If you want to compile C++ extensions during installation, please set the environment variable BASICSR_EXT=True:

      BASICSR_EXT=True python setup.py develop

    You may also want to specify the CUDA paths:

    CUDA_HOME=/usr/local/cuda \
CUDNN_INCLUDE_DIR=/usr/local/cuda \
CUDNN_LIB_DIR=/usr/local/cuda \
BASICSR_EXT=True python setup.py develop

FAQ