Skip to content
/ yolov3 Public

Implementation of yolov3 in c++ using pytorch

Notifications You must be signed in to change notification settings

Evangeb/yolov3

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Installation

  • Install Pytorch C++ select appropriate settings for your environment.
  • Clone the repository.
  • To build run the following from terminal.
mkdir build
cd build
cmake .. -DCMAKE_PREFIX_PATH=/path/to/libtorch
make
cd ..

where /path/to/libtorch should be the path to the unzipped LibTorch distribution, which you can get from the PyTorch homepage.

  • Download yolov3 weights.
chmod +x scripts/download_weights.sh
scripts/download_weights.sh
  • Run detections on single image.
./darknet data/ronaldo.jpg
  • Result of detections in output.png

About

Implementation of yolov3 in c++ using pytorch

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages