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OpenVINO is an open-source toolkit for optimizing and deploying deep learning models. It provides boosted deep learning performance for vision, audio, and language models from popular frameworks like TensorFlow, PyTorch, and more.

OpenVINO (Open Visual Inference and Neural network Optimization) is a toolkit developed by Intel that allows developers to optimize deep learning models for improved performance on Intel hardware. The toolkit includes a set of pre-trained models, a model optimizer, and a set of hardware-optimized inference engines. The pre-trained models can be used for a variety of tasks such as object detection, facial recognition, and image classification. The model optimizer can be used to convert models from other frameworks such as TensorFlow and Caffe into a format that is optimized for Intel hardware. The inference engines can be used to perform inferences on the optimized models and can be run on a variety of Intel hardware including CPUs, GPUs, and VPUs. OpenVINO also provides a set of tools for developers to profile and debug their models, which allows for efficient and accurate deployment of their models to the target platform.

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