The poisson distribution is used to calculate the number of events that might occur in a continuous time interval. For instance, how many phone calls might occur at any particular time period or how many people might show up in a queue. This is really an easy equation to memorize. The funny looking symbol in this equation λ is called lambda. This represents the average number of events that occur per time interval.

Object detection is a very popular application for deep learning, used from simple home automation apps to safety critical autonomous driving. GPUs have proven to be very powerful at executing deep learning training and inference. Many libraries and tools exist today to perform these tasks. In this piece, we'll show you how to run a high-performance object detection pipeline for inference on GPUs in 10 mins. Our Python application takes frames from a live video stream and performs object detection on GPUs.