# YOLO Tiny v2 CPU Performance in OpenCV 4 DNN [2025]

> Opencv 4 DNN, People detection CPU performance with yolo 2 tiny model I am still working on a tutorial on how to simply run yolo and others model in…

- Canonical URL: https://www.funvisiontutorials.com/blog/yolo-tiny-v2-cpu-performance-opencv-4/
- Author: Vladimir Kucera
- Published: 2018-12-10
- Updated: 2026-02-20
- Topics: Object detection, Deep learning, Performance
- Videos: https://www.youtube.com/watch?v=BnNHjre9_mA

Opencv 4 DNN, People detection CPU performance with yolo 2 tiny model

I am still working on a tutorial on how to simply run yolo and others model in opencv 4. I try to do as simple as possible. Not like a general sample in Opencv. Differently, simply, and described as much as possible.

[Image: yolo tiny people detection cpu performance]

### Some technical specifications video

Testing opencv 4.0 DNN with yolo tiny 2 model on people detection in a mall. Pure CPU, I7 (4 cores), running by the following command under Windows 10. Performance for the CPU without 2 much optimization effort is 500 ms per image approximately on my configuration.  Let me know if there is some problem with the parameters.

```
testOpecv.exe --config=C:\darknet-master\cfg\yolov2-tiny.cfg
 --model=C:\darknet-master\weights\yolov2-tiny.weights
 --classes=C:\opencv32\darknet-master\data\coco.names
 --width=616 --height=616 --scale=0.00192 --rgb
```

Video: https://www.youtube.com/watch?v=BnNHjre9_mA

Sources:

Thank you for a great job

[https://opencv.org/](https://www.youtube.com/redirect?event=video_description&v=BnNHjre9_mA&q=https%3A%2F%2Fopencv.org%2F&redir_token=B3MIIdG5f4fDrYa94Feeex6NhV98MTU0NDU1MTI2N0AxNTQ0NDY0ODY3)

[https://pjreddie.com/darknet/yolo/](https://www.youtube.com/redirect?event=video_description&v=BnNHjre9_mA&q=https%3A%2F%2Fpjreddie.com%2Fdarknet%2Fyolo%2F&redir_token=B3MIIdG5f4fDrYa94Feeex6NhV98MTU0NDU1MTI2N0AxNTQ0NDY0ODY3)