Skip to content

VolkovAK/FastYoloInference

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

FastYoloInference

Fast Darknet YOLO v3/v4 inference by means of TensorRT and PyTorch (optionally)


Overview

This project consists of 3 main parts:

  1. YOLO to ONNX;
  2. ONNX to TensorRT;
  3. Main processing class.

yolo2onnx

Darknet YOLO to ONNX conversion based on NVidia example. You may have seen such way of conversion in some repos, but mainly authors doesn't change anything in this script. The most important, they leave "yolo"-layer unsupported, and hence not converted. In this repository I have added "yolo"-layer to ONNX graph. Also, it's able to parse cfg-file deeper then original script, and support YOLO v4.

About

Fast YOLO inference by means of TensorRT and PyTorch

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published