Skip to content

DeepFocuser/MXNet-Detector

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

One Stage Detector

Development environment

  • OS : ubuntu linux 16.04 LTS
  • Graphic card / driver : rtx 2080ti / 418.56
  • Anaconda version : 4.7.12
    • Configure Run Environment
      1. Create a virtual environment
      jg@JG:~$ conda create -n mxnet python==3.7.3
      1. Install the required module
      jg@JG:~$ conda activate mxnet
      (mxnet) jg@JG:~$ conda install cudatoolkit==10.1.243 cudnn 
      (mxnet) jg@JG:~$ pip install mxnet-cu101==1.6.0 tensorboard mxboard gluoncv plotly mlflow opencv-python==4.1.1.26 onnx tqdm PyYAML --pre --upgrade

Author

About

welcome to Mxnet-Detector implementation page

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages