How to Run Computer Vision Models on RTSP Streams

Real Time Streaming Protocol (RTSP) allows users to access video from internet-connected cameras, and by utilizing the Roboflow Inference Python package, computer vision models can be applied to the frames captured by these cameras. This capability has numerous commercial and industrial applications, such as tracking the number of cars in a drive-through lane using object detection models. The guide provides detailed instructions on setting up and running computer vision models on RTSP data, using a fine-tuned YOLOv8 model as an example. It explains the process of uploading a model to Roboflow, preparing a script to run inference, and setting up an InferencePipeline object to access the video stream. Users can visualize predictions through bounding boxes, and the provided code can be customized for different model types, offering flexibility for various applications.