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PyTorch-RPNet

Implementation of Woodscape Dataset based on PyTorch-RPNet

Package is tested on

  • pytorch = 1.10.2
  • numpy = 1.19.5
  • opencv-python = 4.5.5

Training

Windows

$ Set-ExecutionPolicy RemoteSigned -Scope CurrentUser 
$ .\train_woodscape.ps1

Ubuntu

$ sh train_woodscape.sh

Inference

python inference.py --model {model path} --dataset-path {dataset path} –image {image name}

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pytorch implement for RPNet

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  • Python 93.0%
  • Shell 4.8%
  • PowerShell 2.2%