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Single and Multi-Object Detection with Hardware Acceleration on Windows*
This Windows* tutorial uses the sample application called "Object Detection YOLO* V3 Python* Demo."
Object Detection YOLO V3 Python Demo uses the following components of OpenVINO™Toolkit:
- OpenCV: to decode the input video and display a frame with detections that are rendered as bounding boxes and labels, if provided.
- Inference Engine: to perform inference on a decoded frame using deep learning models provided.
By default, this sample application displays latency and FPS.
Instructions in this tutorial are provided for three hardware configurations so you can choose the ones that fit your system's configuration:
Parent topic: Windows* Tutorials