Ultralytics provides a simple API for computer vision tasks, while OpenVINO optimizes inference on Intel hardware; together they enable fast model inference through a streamlined workflow involving model conversion to OpenVINO format (with optional INT8 quantization) and execution on CPU, GPU, or NPU devices.
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Ultralytics + OpenVINO 2 | Intel Software
Added:The ease of use and simplicity of ultralytics plus the power of OpenVINO, in 2 minutes Ultralytics can help you do many things if you are building vision based applications Check out their website Let me show you how to run inference using OpenVINO open a virtual environment, get there pip install ultralytics open a new python file, Import YOLO from ultralytics now we need a model, go to docs.ultralytics.com let's pick a YOLO 26 segmentation model, Line #3 will bring the model over, and this line will convert the model to OpenVINO format, even quantized to INT8 and there are many more options.. Line 9 will run the model on and image, and will use the intel NPU, you can change the device to CPU GPU or even AUTO run the script and the segmentation is working if you are looking for the model itself it will be stored in a dedicated directory, bin file, xml file and a file for the meta data all kind of information here, all the labels, data-set used and more, pretty handy Once you have the model, I want to show you how ultralytics API opens up so many easy ways to use it there are multiple ways to perform inference, let's go to the ultralytics documentation to predict and you can see here all the input formats to model-predict you can of course use an image, a URL, a video and much more for each type you have the code snippet to use. Let me copy the url of this youtube video we'll use that URL as the source and we'll use the model to predict from this source, enable streaming, show the video and even run it on our integrated GPU run the script and it is running, This is faster than the normal speed, very nice the truth is that I don't even need a script, I can run a command line, yolo, predict, the path to the model directory, path to the source, and yes please show the video one line, and it is running, nice.
Ultralitics + OpenVINO is a winning combination. The simplicity and robustness of Ultralytics API With the inference speed more advantages of OpenVINOץ Check it out
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