In computer vision, there are number of general, pretrained models available for deployment to edge devices (such as OpenCV AI Kit). However, the real power in computer vision deployment today lies in custom training your own computer vision model on your own data to apply to your custom solution on your own device. To train […]
We have already discussed several ways to convert your DL model into OpenVINO in previous blogs (PyTorch and TensorFlow). Let’s try something more advanced now.
How TensorFlow trained model may be used and deployed to run with OpenVINO Inference Engine
Are you looking for a fast way to run neural network inferences on Intel platforms? Then OpenVINO toolkit is exactly what you need. It provides a large number of optimizations that allow blazingly fast inference on CPUs, VPUs, integrated graphics, and FPGAs. In the previous post, we’ve learned how to prepare and run DNN models […]
Nowadays, many ground-breaking solutions based on neural network are developed daily and more people are adopting this technique for solving problems such as voice recognitions in their life. Because of the recent advancement in computing and the growing trend of using neural networks in a production environment, there is a significant focus of having such […]
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