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GitHub Repository: hukaixuan19970627/yolov5_obb
Path: blob/master/docs/install.md
Views: 475

INSTAllation

Requirements

  • Linux (Recommend), Windows (not Recommend, Please refer to this issue if you have difficulty in generating utils/nms_rotated_ext.cpython-XX-XX-XX-XX.so)

  • Python 3.7+

  • PyTorch ≥ 1.7

  • CUDA 9.0 or higher

I have tested the following versions of OS and softwares:

  • OS:Ubuntu 16.04/18.04

  • CUDA: 10.0/10.1/10.2/11.3

Install

CUDA Driver Version ≥ CUDA Toolkit Version(runtime version) = torch.version.cuda

a. Create a conda virtual environment and activate it, e.g.,

conda create -n Py39_Torch1.10_cu11.3 python=3.9 -y source activate Py39_Torch1.10_cu11.3

b. Make sure your CUDA runtime api version ≤ CUDA driver version. (for example 11.3 ≤ 11.4)

nvcc -V nvidia-smi

c. Install PyTorch and torchvision following the official instructions, Make sure cudatoolkit version same as CUDA runtime api version, e.g.,

pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html nvcc -V python >>> import torch >>> torch.version.cuda >>> exit()

d. Clone the yolov5-obb repository.

git clone https://github.com/hukaixuan19970627/yolov5_obb.git cd yolov5_obb

e. Install yolov5-obb.

pip install -r requirements.txt cd utils/nms_rotated python setup.py develop #or "pip install -v -e ."

Install DOTA_devkit.

(Custom Install, it's just a tool to split the high resolution image and evaluation the obb)

cd yolov5_obb/DOTA_devkit sudo apt-get install swig swig -c++ -python polyiou.i python setup.py build_ext --inplace