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A free toolkit facilitating the optimization of a Deep Learning model
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What is OpenVINO?

It is a comprehensive toolkit for quickly developing applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends CV workloads across Intel® hardware, maximizing performance.
OpenVINO is a tool in the Machine Learning Tools category of a tech stack.

Who uses OpenVINO?

6 developers on StackShare have stated that they use OpenVINO.

OpenVINO's Features

  • Optimize and deploy deep learning solutions across multiple Intel® platforms
  • Accelerate and optimize low-level, image-processing capabilities using the OpenCV library
  • Maximize the performance of your application for any type of processor

OpenVINO Alternatives & Comparisons

What are some alternatives to OpenVINO?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
See all alternatives

OpenVINO's Followers
9 developers follow OpenVINO to keep up with related blogs and decisions.