Skip to content

Latest commit

 

History

History
68 lines (49 loc) · 2.02 KB

INSTALL.md

File metadata and controls

68 lines (49 loc) · 2.02 KB
Raw

Installation

Requirements

  • Linux
  • Python 3.5/3.6/3.7
  • PyTorch 1.1/1.3.1
  • CUDA 10.0/10.1
  • NCCL 2+
  • GCC 4.9+
  • mmcv<=0.2.14

Install ReDet

a. Create a conda virtual environment and activate it. Then install Cython.

conda create -n redet python=3.7 -y
source activate redet

conda install cython

b. Install PyTorch and torchvision following the official instructions.

conda install pytorch=1.3.1 torchvision cudatoolkit=10.0 -c pytorch -y

Note:

  1. If you want to use Pytorch>1.5, you have to made some modifications to the cuda ops. See here for a reference.
  2. There is a known bug happened to some users but not all (As I have successfully run it on V100 and Titan Xp). If it occurs, please refer to here.
  3. If you want to use Python<=3.6, you need to install e2cnn@legacy_py3.6 mamually, see here for an instruction.

c. Clone the ReDet repository.

git clone https://github.com/csuhan/ReDet.git
cd ReDet

d. Compile cuda extensions.

bash compile.sh

e. Install ReDet (other dependencies will be installed automatically).

python setup.py develop
# or "pip install -e ."

Note:

  1. It is recommended that you run the step e each time you pull some updates from github. If there are some updates of the C/CUDA codes, you also need to run step d. The git commit id will be written to the version number with step e, e.g. 0.6.0+2e7045c. The version will also be saved in trained models.

  2. Following the above instructions, ReDet is installed on dev mode, any modifications to the code will take effect without installing it again.

Install DOTA_devkit

    sudo apt-get install swig
    cd DOTA_devkit
    swig -c++ -python polyiou.i
    python setup.py build_ext --inplace