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AlexeyAB / darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
http://pjreddie.com/darknet/
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v3 vs v4 speed comparison #7086

Closed EmileTestUser closed 3 years ago

EmileTestUser commented 3 years ago

Hi @AlexeyAB ,

I am currently writing my bachelor thesis in Munich about a comparison of version 3 and your well improved version 4. In order to fully understand the performance differences I have a question:

When comparing speed and accuracy of yolo v3 and v4 with my data I can notice a ~16% decrease of speed. As #6630 #5308 and Figure1 in the v4 paper prove, v4 speed will be lower for the same image size.

In contradiction, Table 8 in the paper shows the following values for a size of 416: v4 - 38 FPS v3 - 35 FPS

This would be an improvement of speed for the same image size. For other GPUs this is even higher.

What am I understanding wrong?

Thank you

1993cathyzhao1993 commented 3 years ago

You mean the speed of v4 is faster than v3 based your data?

AlexeyAB commented 3 years ago

  1. Speed in this repository was improved Table 8 in the paper shows the following values for a size of 416: https://arxiv.org/pdf/2004.10934.pdf v4 - 38 FPS - https://github.com/AlexeyAB/darknet v3 - 35 FPS - https://github.com/pjreddie/darknet

  2. If we use the same framework, then

    • YOLOv3 is slightly faster than YOLOv4 for the same resolution
    • YOLOv4 is many times faster than YOLOv3 for the same accuracy

https://arxiv.org/abs/2011.08036 scaled_yolov4_resolution - копия - копия