Savant, a new open-source product that simplifies the use of Nvidia DeepStream for ML engineers. It is a framework that handles the heavy lifting, allowing you to focus on building optimized inference pipelines with declarative syntax and Python functions.
With Savant, you can easily handle multiple streams simultaneously, deliver reliable, production-ready inference pipelines quickly and achieve top-notch performance with TensorRT. Visit the website to know more.
In the current article, we introduce you to a classification pipeline that uses a detector model, a tracker, and three classifier models to perform a pretty common task related to car traffic profiling: car detection, tracking, and classification. The pipeline is a remake of one of Nvidia’s earliest test applications.
The source for the current pipeline is in Savant’s samples/nvidia_car_classificiation directory.
Read the full article on Medium.