Calculation of FPS on object detection task How to calculate mean speed in FPS for an object detection model like YOLOv3 or YOLOv3-Tiny? Different object detection models are often presented on charts like this:

I am using the DarkNet framework in my project and I want to create similar charts for my own models based on YOLOv3. Is there some easy way to get mean FPS speed for my model with the "test video"?
You can use the dataset test set as "frames" of video. Test the images with your model and calculate the images per second of the result and that is the same as frames per second. However you should set the batch size to 1 as in the real world scenario. You should also display each image with teh corresponding boxes after inference and remove the accuracy calculation as to imitate the real world situation.