2022.3 says Ubuntu 22.04 is supported as a preview. Can this script be updated as well so the recommended/tested compute runtime version can be installed without having to do it manually?

System information (version) OpenVINO => main branch Operating System / Platform => Windows 64 Bit Compiler => Visual Studio 2019 Problem classification: Compilation problem. Detailed description While I was try to build Open Vino from main branch with Wheel packages I got following infor...

System information (version) OpenVINO => 2022.3.0 Operating System / Platform => Windows 64 Bit Compiler => Visual Studio 2019 Problem classification: Model Conversion Framework: TensorFlow Model name: VGGFace Detailed description I am using VGGFace model for face recognition, successfull...

System information (version) OpenVINO=> ❔ Operating System / Platform => ❔ Compiler => ❔ Problem classification => ❔ Detailed description Steps to reproduce Issue submission checklist I report the issue, it's not a question I checked the problem with documentation, FAQ, open is...

Hey, I've noticed that certain operations (SoftMax) have different opsets (e.g., 1 and 8). I am curious if it's somehow possible to specify extra commands/config to model optimizer, which would prefer a certain version. By default, SoftMax uses opset version 8, but I'd like to export it with opset v...

System information (version) OpenVINO => 2022.3.0 and master Operating System / Platform => Ubuntu 22.04 CMake => 3.22.1 Problem classification: build scripts Detailed description The issue can be reproduced with simple CMakeLists.txt file: cmake_minimum_required(VERSION 3.21) project(ope...

Operating system linux ubuntu Openvino, Openvino-dev, Openvino-tensorflow (all 2022.3.0) Tensorflow 2.9.1 Model: Delg (https://github.com/tensorflow/models/tree/master/research/delf) Hi, I am trying to convert a saved TF2 model with multiple Input/output containing signatures. I use the following co...

Hi, I was wondering if it was possible for OpenVINO to limit the number of EUs utilized by the GPU plugin. I have an inference app that was developed on an 80EU part, and I'd like to get a rough estimate of how it would perform on the 48EU part for instance, before trying to buy one. If this can't...

Hello everyone, When I do an inference with Openvino runtime and Inference Engine, they give me a very different detection confidence score. Here's the remarkable difference I can capture when doing inference on my efficientdet_d0 model (trained using TF2 API, and converted to openvino IR format) on...

from openvino import runtime as ov x = ov.opset8.multiply(2,3) print(x) It prints output : <Multiply: 'Multiply_2' ({})> # pyopenvino.Node expect or target output: Int 6 Can it return to my expected or target output?