windows 10 uninstall video download converter

The directory will be referred to as elsewhere in the documentation. In the opened window, you can select the folder where installer files will be placed. Go to the Downloads folder and double-click w_openvino_toolkit_p_.exe. Select the Intel® Distribution of OpenVINO™ toolkit for Windows package from the dropdown menu. Step 1: Install the Intel® Distribution of OpenVINO™ toolkit Core Components ¶ĭownload the Intel® Distribution of OpenVINO™ toolkit package file from Intel® Distribution of OpenVINO™ toolkit for Windows. Hello NV12 Input Classification C++ SampleĪutomatic Speech Recognition Python* Sample Image Classification Async Python* Sample Post-Training Quantization with TensorFlow Classification Model Quantization Aware Training with NNCF, using PyTorch frameworkįrom Training to Deployment with TensorFlow and OpenVINO Quantization Aware Training with NNCF, using TensorFlow Framework Vehicle Detection And Recognition with OpenVINO Live Inference and Benchmark CT-scan Data with OpenVINO Super Resolution with PaddleGAN and OpenVINO Single Image Super Resolution with OpenVINO Optical Character Recognition (OCR) with OpenVINO Image Background Removal with U^2-Net and OpenVINO PaddlePaddle Image Classification with OpenVINO Style Transfer on ONNX Models with OpenVINO Photos to Anime with PaddleGAN and OpenVINO OpenVINO optimizations for Knowledge graphs Post-Training Quantization of PyTorch models with NNCFĭeblur Photos with DeblurGAN-v2 and OpenVINO

Quantize Speech Recognition Models with OpenVINO Post-Training Optimization Tool Quantize NLP models with OpenVINO Post-Training Optimization Tool

Quantize a Segmentation Model and Show Live Inference INT8 Quantization with Post-training Optimization Tool (POT) in Simplified Mode tutorial Quantization of Image Classification ModelsĪutomatic Device Selection with OpenVINO™ Convert a PyTorch Model to ONNX and OpenVINO IRĬonvert a PaddlePaddle Model to ONNX and OpenVINO IR

Windows 10 uninstall video download converter