The Intel-OpenVINO Toolkit provides many great functionalities for Deep-Learning model optimization, inference and deployment. Perhaps the most interesting and practical tool among them is the ...
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Running OpenVINO Models on Intel Integrated GPU
Traditionally, Deep-Learning models are trained on high-end GPUs. But for inference, Intel CPUs and edge devices like NVidia’s Jetson and Intel-Movidius VPUs are preferred. Most of these Intel CPUs ...
Post Training Quantization with OpenVINO Toolkit
Deep Learning models inferencing on video stream inputs in computer vision applications are mostly used for object detection, image segmentation, and image classification. In many cases, we fail to ...
Introduction to Intel OpenVINO Toolkit
The training of neural-network architectures is what drives most of us who are involved in the field of Deep Learning. We fixate endlessly over the amount of data, its quality, and what neural network ...
Using OpenVINO with OpenCV
In this post, we will learn how to squeeze the maximum performance out of OpenCV's Deep Neural Network (DNN) module using Intel's OpenVINO toolkitpost, we compared the performance of OpenCV and other ...
Anti-Spoofing Face Recognition System using OAK-D and DepthAI
In this post, we will learn the pros and cons of using Face Recognition as an authentication method. We will also see how it can be spoofed and the methods that can be used to detect the spoofing ...