Example of performing inference with Darknet YOLO V4, OpenCV 4.4.0 DNN, C++ and Python
Looking for YOLO V5 OpenCV C++/Python inference? Check this repository
Make sure you have already on your system:
- OpenCV 4.0+
- Python 3.7+
- Any modern Linux OS (tested on Ubuntu 20.04)
- GCC 9.0+
The python code is here.
git clone https://github.com/doleron/yolov4-opencv-cpp-python.git
cd yolov4-opencv-cpp-python
python python/yolo.py If your machine/OpenCV install are CUDA capable you can try out running using the GPU:
git clone https://github.com/doleron/yolov4-opencv-cpp-python.git
cd yolov4-opencv-cpp-python
python python/yolo.py cudaThe C++ code is here.
git clone https://github.com/doleron/yolov4-opencv-cpp-python.git
cd yolov4-opencv-cpp-python
g++ -O3 cpp/yolo.cpp -o yolo_example `pkg-config --cflags --libs opencv4`
./yolo_exampleOr using CUDA if available:
git clone https://github.com/doleron/yolov4-opencv-cpp-python.git
cd yolov4-opencv-cpp-python
g++ -O3 cpp/yolo.cpp -o yolo_example `pkg-config --cflags --libs opencv4`
./yolo_example cuda
PS.: Video sample from https://www.youtube.com/watch?v=NyLF8nHIquM
This repository uses YOLO V4 but it is not the only YOLO version out there. You can read this article to learn more about YOLO versions and choose the more suitable one for you.