Mastering OpenCV 4 with Python

Calculating frames per second

In the Reading camera frame and video files section, we saw how we can get some properties from the cv2.VideoCapture object. fps is an important metric in computer vision projects. This metric indicates how many frames are processed per second. It is safe to say that a higher number of fps is better. However, the number of frames your algorithm should process every second will depend on the specific problem you have to solve. For example, if your algorithm should track and detect people walking down the street, 15 fps is probably enough. But if your goal is to detect and track cars going fast on a highway, 20-25 fps are probably necessary.

Therefore, it is important to know how to calculate the fps metric in ...