These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Frames Per Second (FPS)
FPS (Frames Per Second) is a measure of performance in the field of computer vision and image processing. It refers to the number of images or video frames processed by an algorithm or system in one second. FPS is an important metric because it provides information about the real-time processing capability of a computer vision system, which can be crucial in many applications such as video surveillance, gaming, and robotics. To calculate FPS, you simply divide the number of frames processed by the total time taken to process those frames. For example, if a computer vision system processes 100 frames in 2 seconds, the FPS would be 50 (100 frames / 2 seconds). Higher FPS values indicate faster and more efficient processing, while lower FPS values indicate slower processing. In practice, the desired FPS value depends on the specific requirements of the application and the hardware used.
About the metric
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