A conventional video or picture captures the three-dimensional world in two dimensions, losing crucial information regarding depth, which many applications now demand. Depth estimation is a ...
Top 10 Sources to Find Computer Vision and AI Models
The AI community generously shares code, model architectures, and even models trained on large datasets. We are standing on the shoulders of giants, which is why the industry is adopting AI so ...
Introduction to OpenVINO Deep Learning Workbench
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 ...
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 ...
