OpenVINO Python

windows環境でのOpenVINO導入テスト - Qiita

Inference Engine Python* API. This project moved from openvino-python to openvino, and 2021.1 version to be removed in the default view.The specific version is still available for users depending on this exact version by using openvino-python==2021.1 Inference Engine Python* API is supported on Ubuntu* 18.04 and 20.04, CentOS* 7.3 OSes, Raspbian* 9, Windows* 10 and macOS* 10.x. Supported Python* versions: Operating Syste NOTE: This demo is based on the callback functionality from the Inference Engine Python API. The selected approach makes the execution in multi-device mode optimal by preventing wait delays caused by the differences in device performance. However, the internal organization of the callback mechanism in Python API leads to a decrease in FPS For OpenVINO toolkit samples and reference implementations, this is the python directory under the OpenVINO toolkit installation directory. For example, on Windows with a default OpenVINO toolkit installation path, this is: C:\IntelSWTools\openvino\python\python3.6. Set up the Environment Variable The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit. docker dockerfile docker-image dockerhub openvino Python Apache-2.0 22 23 1 0 Updated Jul 8, 202

Ah, yeah I had seen this previously and did try to specify the Python version but it was failing. With the latest OpenVINO code downloaded, 2021.2, this seemed to work pip install openvino-python. For specifics on operating system compatibility, here is a link to the pip project. Tutorial Code for Running Inference OpenVINO Notebooks. A collection of ready-to-run Jupyter* notebooks for learning and experimenting with the OpenVINO™ Toolkit. The notebooks provide an introduction to OpenVINO basics and teach developers how to leverage our API for optimized deep learning inference

Let us start. In this article, we will not be interacting with the pre-trained models that we downloaded in the previous article, as to interact with these pre-trained models we need to use OpenVINO Python API, which we will discuss in the coming article OpenVINO stands for Open Visual Inference and Neural Network Optimization. It is a toolkit provided by Intel to facilitate faster inference of deep learning models. It helps developers to create cost-effective and robust computer vision applications To use Python* with the open-source OpenVINO™ toolkit - Deep Learning Deployment Toolkit for Linux*, you must install Python 3.5 or above, and then build the toolkit by specifying the correct Python version in the CMake command line I am trying to install openvino using the pip commandpip install openvino-python but I get this Collecting openvino-python Using cached openvino_python-..-py3-none-win_amd64.whl (1.4 kB) ERROR: Could not find a version that satisfies the requirement tbb==2020.2.* (from openvino-python) (from ve.. Python* 3.6 or 3.7. A Windows build environment needs these components: Microsoft Visual Studio* 2019 with Microsoft Build Engine (MSBuild) CMake 3.14 or higher (64 bit) Python 3.6 to 3.8 (64 bit) Intel® HD Graphics Driver (latest version) ‡. ‡ Graphics drivers are required only if you use a GPU. A macOS build environment needs these.

3.4 OpenVINO with OpenCV. While OpenCV DNN in itself is highly optimized, with the help of Inference Engine we can further increase its performance. The figure below shows the two paths we can take while using OpenCV DNN. We highly recommend using OpenVINO with OpenCV in production when it is available for your platform Introduction. 2020-12-19 時点の記録。 conda-forge/Miniforge ではApple Silicon(M1)対応(osx-arm64)が先んじています。 numpy, scipy, matplotlib などが対応されています。 Work!! Intel Neural Compute Stick 2 (MYRIAD X) on Apple Silicon (M1) MacBook Air ! OpenVINO 2020.1.023 (which has OpenCV 4.2.0) version is used, although a newer version (2021.1) exists now. Please set up a Python virtual environment where all the required packages will be.

OpenVINO, OpenCV, and Movidius NCS on the Raspberry Pi. In this blog post, we're going to cover three main topics. First, we'll learn what OpenVINO is and how it is a very welcome paradigm shift for the Raspberry Pi My setup is the following: macOS Big Sur pyenv PyCharm + venv Python 3.7.7 OpenVINO 2021.1.110 I am trying to import OpenVINO: import openvino from openvino import inference_engine This results. Python openvino.inference_engine.IENetwork() Examples The following are 24 code examples for showing how to use openvino.inference_engine.IENetwork(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the. Python binding for OpenVINO which is used for classifying images: Parse arguments. Next, add some code to parse the command line arguments supported by the application. There are two mandatory arguments: the image to be classified (-ior --ifile) and the model to use for classification (-mor --model.

openvino-python · PyP

  1. Introduction. This guide provides users with steps for creating a system service to initialize OpenVINO™ toolkit environment variables and run the benchmark_app.py Python application for Raspbian*.This process may apply to other Linux* distributions but this guide was written to work for Raspbian*
  2. OpenVINO Notebooks Notebooks are currently in beta.We plan to publish a stable release this summer. Please submit issues on GitHub, start a discussion or join our Unofficial Developer Discord Server* to stay in touch.. A collection of ready-to-run Python* notebooks for learning and experimenting with OpenVINO developer tools
  3. With a single line, the python virtual environment for OpenVINO toolkit can be created and the OpenVINO environment variables can be initialized. openvinoenv.bat. Pre-trained Models. It uses the pre-trained models from the Intel OpenVino pre-trained models. The following pre-trained models were downloaded using the model downloade
  4. Windows. See the Windows-specific OpenVINO guide here.. After downloading and installing OpenVINO in C:\work\intel\openvino:. Open a shell window > cd C:\work\intel\openvino Make sure you have Python and its scripts, e.g. pip, installed and on your path, otherwise some failures may be encountered

How to increase accuracy in OpenVINO. 0. Im new to AI and OpenVINO. Recently i tried to setup a safety gears example using this source Github link. Although everything worked perfectly, but the result doesn't meet my expectation. For example: It doesn't detect anything about the helmets. I see people without helmet with a square on its head and. The most simple Python sample code for the Inference-engineThis is a classification sample using PythonUse it as a reference for your application.Explore the.. Intel Technologies Intel FPGA, Movidius NCS, OpenVINO Code Samples [1] Overview / Usage. Suppported models: YOLOv4 (python C++ demo) YOLOv4-relu (python C++ demo) YOLOv4-tiny (python C++ demo) YOLOv4-tiny-3l (python C++ demo) YOLOv4-CSP (only python demo now) YOLOv4x-mish (only python demo now) Supported model precision $ python >>> import cv2 >>> print(cv2.__version__) 4.1.2-openvino If there are no errors your installation is successful. When you are done deactivate the virtual environmen

pip install openvino-python==2021.1 SourceRank 3. Dependencies 0 Dependent packages 0 Dependent repositories 0 Total releases 2 Latest release Oct 7, 2020 First release Sep 17, 2020. Releases 2021.1 Oct 7, 2020 0.0.0 Sep 17, 2020 Something wrong with this page?. Object detection with tinyYOLOv2 in Python using OpenVINO Execution Provider: The Object detection sample again uses a tinyYOLOv2 Deep Learning ONNX Model from the ONNX Model Zoo. The sample involves presenting a frame-by-frame video to ONNX Runtime (RT), which uses the OpenVINO Execution Provider to run inference on various Intel hardware. Python openvino.inference_engine.IECore() Examples The following are 19 code examples for showing how to use openvino.inference_engine.IECore(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links.

Raspberry Pi Projects: Raspberry pi OpenVINO with Intel

Overview of Inference Engine Python* API - OpenVINO™ Toolki

系统版本:ubuntu18.04 python版本:3.6.9 pycharm的版本:pycharm 2020.2 (professional) openvino的版本:openvino_2020.3.194 前提条件:打开终端能出现**[setupvars.sh] OpenVINO enviroment initialized** 的提示,如下图所示: **步骤1:**找到openvino的包,复制到当前用的python的site-packages下 这里. 【openvino-python】使用pycharm调试openvino架构的python程序1.背景2.在cmd初始化openvino并启动pycharm2.1 开启cmd终端2.2 激活Anaconda3中python包虚拟环境2.3 初始化openvino变量2.4 启动pycharm3.pycharm设置python环境4.测试 1.背景 前言 写程序,IDE少不了啊(大神,极客除外) Python DeepLearning TensorFlow PyTorch OpenVINO [Tensorflow Lite] Various Neural Network Model quantization methods for Tensorflow Lite (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization, EdgeTPU). As of May 05, 2020. byPINTO. 162. 2020/05/05. OpenCV 画像認識 深層学習 OpenVINO In this post, we will learn how to squeeze the maximum performance out of OpenCV's Deep Neural Network (DNN) module using Intel's OpenVINO toolkitpost, we compared the performance of OpenCV and other Deep Learning libraries on a CPU. We will discuss optmizing OpenCV with OpenVINO. OpenCV's reference C++ implementation of DNN does astonishingly well on [ Face Detection Program in Python. Source: Intel OpenVINO We will start off by downloading the face detection model. We can either use the model optimiser to download the model or we can simply search for a model and download it directly. Method 1: Using the model optimiser. Go to the model_optimiser directory, usually located at

Object Detection Python* Demo - OpenVINO™ Toolki

  1. OpenVINO toolkit (Open Visual Inference and Neural network Optimization) is a free toolkit facilitating the optimization of a deep learning model from a framework and deployment using an inference engine onto Intel hardware. The toolkit has two versions: OpenVINO toolkit, which is supported by open source community and Intel Distribution of OpenVINO toolkit, which is supported by Intel
  2. The Model Optimizer is a Python*-based command line tool for importing trained models from popular deep learning frameworks such as Caffe*, TensorFlow*, Apache MXNet*, ONNX* and Kaldi*. For a description of the Intel Distribution of OpenVINO™ pre-trained object detection and object recognition models,.
  3. The OpenVino Toolkit (Open Visual Inference and Neural network Optimization toolkit) is an open-source deep-learning toolkit originally developed by the OpenCV team includes different tools to convert different deep learning models into IR format using the model optimizer tool. In the process of converting models made out of different.
  4. A cool new demo from OpenVINO.A full face recognition (detection + recpgnition) demo in Python. EnjoyExplore the Intel® Distribution of OpenVINO™ toolkit.: h..
  5. OpenVINO is an open-source toolkit that melds classical computer vision and deep learning. It provides a consistent API to run inferences across a variety of devices, including Intel CPUs, VPUs, FPGAs, the Neural Compute Stick 2, and more - using C, C++, or Python
  6. $ python3 openvino-usbcamera-cpu-ncs2-sync.py -d CPU -b True. Methodology / Approach. Ubuntu 16.04 x86_64 Core i7/Core m3; OpenVINO 2019 R1.0.1; Tensorflow v1.12. + Tensorflow Lite; USB Camera; Python 3.5; Technologies Used. OpenVINO 2019 R1.01 + Intel's CPU only inference OpenVINO 2019 R1.01 + Intel's NCS2 inference OpenVINO 2019 R1.01.

The Story. As more and more COVID-19 cases are reported each day and South Africa's lock down restrictions have been loosen, we will be seeing an increase on the number of cases due to the lack of social distancing and the usage of facial masks.. In this post, I will walk you through the processes of creating a Face Mask Detector application using pre-trained models and Intel OpenVINO. Python 3.5; OpenCV 4.1.0-openvino; Tensorflow v1.12. or Tensorflow-GPU v1.12. (pip install) YoloV3 (MS-COCO) tiny-YoloV3 (MS-COCO) USB Camera (PlaystationEye) / Movie file (mp4) Intel Neural Compute Stick v1 / v2; OpenVINO Supported Layers (As of Apr 14, 2019) Supported Framework Layers; Supported Caffe Layers; Supported TensorFlow Layers. Refer to the Python, Scala and Docker guides to install Analytics Zoo. Visit the Document Website (mirror in China) for more information on Analytics Zoo. Check the Powered By & Presentations pages for real-world applications using Analytics Zoo. Join the Google Group (or subscribe to the Mail List) for more questions and discussions on.

Use the Intel® Distribution of OpenVINO™ Toolkit to Create

Intel® Distribution of OpenVINO™ Toolkit Preview Support

2,956 recent views. This course is designed for application developers who wants to deploy computer vision inference workloads using the Intel® Distribution of OpenVINOTM toolkit. The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of. sudo pip3 install opencv-openvino-contrib-python. Should I use sudo? pip or pip3? Releases. Version Released Stretch Buster Files; 2019-09-17: Issues with this package? Check if there's an open issue: Search: Package or version missing? New issue: Something else? New issue: Page last updated 2020-09-29 10:45 UTC. The course will introduce students to the Intel® Distribution of OpenVINO™ Toolkit, which allows developers to deploy pre-trained deep learning models through a high-level C++ or Python inference engine API integrated with application logic. Based on convolutional neural networks (CNN), the toolkit extends workloads across Intel® hardware.

OpenVINO Toolkit · GitHu

Learn to maximize application performance across a range of heterogeneous Intel architectures using the OpenVINO™ toolkit to deliver fast, efficient deep learning workloads. Deploy pre-trained deep learning models through a high-level C++ or Python inference engine API integrated with application logic. Join No Online or onsite, instructor-led live OpenVINO training courses demonstrate through interactive hands-on practice how to use OpenVINO toolkit for optimizing Deep Learning models on Intel hardware. OpenVINO training is available as online live training or onsite live training. Online live training (aka remote live training) is carried out by way of an interactive, remote desktop

Solved: How to make python script work when using openvino

Tutorial on How to Run Inference with OpenVino in 2021

OpenVINO Plugin for Unity Tutorial Pt.3 This post demonstrates how to access the DLL as a plugin inside a Unity project. Jul 6, 2021. OpenVINO Plugin for Unity Tutorial Pt.2 This post walks through the steps needed to create a Dynamic link library (DLL) in Visual Studio to perform inference with the pretrained deep learning model. Jul 6, 202 Downloads¶. This page contains downloads for various parts of the BrainFrame (v0.27.0) ecosystem. BrainFrame Server¶. Instructions for downloading and installing BrainFrame can be found in the Getting Started guide. BrainFrame Client

Linux with strong Python, GoLang and C/C++ expertise - OpenVINO/dlstreamer, OpenCV, pandas, EdgeX Foundry Dice Chandler, AZ 2 hours ago Be among the first 25 applicant openvino-python View on GitHub openvino-python. This is an unofficial pip package for OpenVINO on Windows.. How to use Installation. Because this library is not registered in PyPI, you can install this library by using the following command openvino openvino Table of contents. Prerequisites Before you begin Install the chart Add the repo SGX device pytorch spark tensorflow tensorflowlite zookeeper Azure Kubernetes Services Azure Kubernetes Services Confidential AKS Flask Demo Python Images AKS Integratio

Buy Raspberry Pi 4 computer vision (virtual robot) V-rep

When we use OpenVINO for model deployment, we can use C++ or Python. When using Python, you can call OpenVINO (OpenCV version) through the OpenCV dnn module, or you can directly call the Inference Engine Python API function to develop AI inference Python applications (OpenVINO version) 创始人+OpenCV开发专家 贾志刚老师带着大家一起使用 OpenVINO 进行开发。 - 贾志刚简介:个人独立开发者,专注图像处理研究多年时间,图书作者,博客作者。精通OpenCV框架多个模块、ImageJ开源框架、图像算法与应用开发技术、特别是在对象检测、识别、OCR、人脸美化等方面有深入研究 干货 | 基于 OpenVINO Python SDK 环境配置与运行. 图文:苏孝利. 排版:江艳玲. 一、Anaconda. 1.1介绍. Anaconda是一个开源的Python发行版本,其包含了conda、Python等180多个科学包及其依赖项。. 因为包含了大量的科学包,解决了初学者用pip install安装存在冗长的软件安装.

GitHub - openvinotoolkit/openvino_notebooks: A

OpenVINO-Python. OpenVINO的安装教程 安装完成后 将C:\Program Files (x86)\IntelSWTools\openvino\python目录下, 自己对应Python版本的openvino目录, 直接复制到自己Python路径下的\Lib\site-packages目录即可. Python测试运行. from openvino.inference_engine import IENetwork 如果出现. ImportError: DLL load failed ./converter.py -h usage: converter.py [-h] [-c CONFIG.YML] [-d DIR] [-o DIR] [--name PAT[,PAT...]] [--list FILE.LST] [--all] [--print_all] [-p PYTHON] [--mo MO.PY] [--dry-run] optional arguments: -h, --help show this help message and exit -c CONFIG.YML, --config CONFIG.YML topology configuration file -d DIR, --download_dir DIR root of the directory tree with downloaded topology files -o DIR. 下图中展示了使用 OpenCV DNN 的两种方式;如果在您的平台上可以使用,我们高度推荐 OpenVINO + OpenCV 的组合; 4. Linux 中安装 OpenVINO Toolkit . 这一节我们会介绍如何在 Linux 中安装和测试 OpenVINO; Windows 中的 Openvino 安装可以参考 Intel's website. 4.1 OpenVINO Toolkit 安装. 1

Processing Images using Intel OpenVIN

Learn how to setup OpenCV-Python on your computer! Here you will learn how to display and save images and videos, control mouse events and create trackbar. In this section you will learn basic operations on image like pixel editing, geometric transformations, code optimization, some mathematical tools etc Source code: Lib/traceback.py. This module provides a standard interface to extract, format and print stack traces of Python programs. It exactly mimics the behavior of the Python interpreter when it prints a stack trace. This is useful when you want to print stack traces under program control, such as in a wrapper around the interpreter なお、 openvino-python をインストールすると、 cv2 モジュールも使えるようになります。そのため、別途 opencv-python などをインストールする必要はありません。 また、 numpy も必要なのでインストールしておきます。 パスの設

Introduction to OpenVINO

Raspbian openVINO - no module named 'cv2'. I have been configuring openVINO on my Raspberry pi 2 B, and followed these instructions. I was successfully able to run the object_detection_sample_ssd demonstration, but that is where my luck ended with the tutorial. I tried to run the openCV test, and it didn't work 如何使用 Python* API 包装器OpenVINO™ Linux* 的开源工具套件. To use Python* with the open-source OpenVINO™ toolkit - Deep Learning Deployment Toolkit for Linux*, you must install Python 3.5 or above, and then build the toolkit by specifying the correct Python version in the CMake command line. If you do not explicitly specify a. Python预测部署¶. 文档说明了在python下基于OpenVINO的预测部署,部署前需要先将paddle模型转换为OpenVINO的Inference Engine,请参考 模型转换 。 目前CPU硬件上支持PadlleX的分类、检测、分割模型;VPU上支持PaddleX的分类模型 To resize an image in Python, you can use cv2.resize () function of OpenCV library cv2. Resizing, by default, does only change the width and height of the image. The aspect ratio can be preserved or not, based on the requirement. Aspect Ratio can be preserved by calculating width or height for given target height or width respectively Manually Locate Where Python is Installed. Alternatively, you can manually locate where Python is installed by typing 'Python' in the Windows Search Bar: Right-click on the Python App, and then select Open file location as captured below: Right-click on the Python shortcut, and then select Properties: Click on Open File Location

How to Build the Open-Source OpenVINO™ toolkit for Linux

Tip. This tutorial is a simplified version of the Custom Vision and Azure IoT Edge on a Raspberry Pi 3 sample project. This tutorial was designed to run on a cloud VM and uses static images to train and test the image classifier, which is useful for someone just starting to evaluate Custom Vision on IoT Edge Reverse a Number in Python ModuleNotFoundError: No module named 'openpyxl' Some of the modules like pandas, etc., use openpyxl if you are working with Excel file functionalities Note. There are now newer security-fix releases of Python 3.6 that supersede 3.6.10 and Python 3.8 is now the latest feature release of Python 3.Get the latest releases of 3.6.x and 3.8.x here.Python 3.6.8 was the last bugfix release for 3.6.x. Following the release of 3.6.8, we plan to provide security fixes for Python 3.6 as needed through 2021, five years following its initial release

Error while installing OpenVINO using pip - Intel Communit

Python 2.7 will not be maintained past 2020 . Originally, there was no official date. Recently, that date has been updated to January 1, 2020. This clock has been updated accordingly. My original idea was to throw a Python 2 Celebration of Life party at PyCon 2020, to celebrate everything Python 2 did for us. That idea still stands Note. There are now newer security-fix releases of Python 3.6 that supersede 3.6.9 and Python 3.8 is now the latest feature release of Python 3.Get the latest releases of 3.6.x and 3.8.x here.Python 3.6.8 is planned to be the last bugfix release for 3.6.x. Following the release of 3.6.8, we plan to provide security fixes for Python 3.6 as needed through 2021, five years following its initial. OpenCV-Python Installation. We recommend using Anaconda with Python 3 for the homework assignments. The instruction to install anaconda and Python 3 can be found at. Python Wheels for the Raspberry Pi. piwheels is a Python package repository providing Arm platform wheels (pre-compiled binary Python packages) specifically for the Raspberry Pi, making pip installations much faster. Packages are natively compiled on Raspberry Pi 3 hardware using the Mythic Beasts Pi cloud. Packages. 260,391. Wheels. 2,414,675 GPU-Accelerated Computing with Python NVIDIA's CUDA Python provides a driver and runtime API for existing toolkits and libraries to simplify GPU-based accelerated processing. Python is one of the most popular programming languages for science, engineering, data analytics, and deep learning applications. However, as an interpreted language, it's been considered too slow fo

System Requirements for the Intel® Distribution of

On most Mac OS X systems, replace ./python with ./python.exe. On Windows, use python.bat. Create a new branch where your work for the issue will go, e.g.: git checkout -b fix-issue-12345 main. If an issue does not already exist, please create it. Trivial issues (e.g. typo fixes) do not require any issue to be created Benchmarks of Python interpreters and compilers. Benchmarks are only tentative. Feel free to contribute if you know how to improve the test programs. Interpreters and compilers. Python 3.9.0 (with NumPy and gmpy2) Python 2.7.15 (with NumPy and gmpy) Python 3.10.0a0: PyPy3 7.3.4 (with gmpy_cffi Tip. Without a project, all versions of Visual Studio work well with Python code. For example, you can open a Python file by itself and enjoy auto-complete, IntelliSense, and debugging (by right-clicking in the editor and selecting Start with Debugging).Because such code always uses the default global environment, however, you may see incorrect completions or errors if the code is meant for a.

Intel OpenVINO Inference EngineOpenVINO™ ツールキットを使用してインテル® System Studio の Python* プロジェクトを

CPU Performance Analysis of OpenCV with OpenVINO Learn

OpenVINO AMI in AWS Marketplace. In order to facilitate accelerated seismic interpretation on AWS, Intel Energy and AWS Energy teams worked together to create OpenVINO™ AMI ( Amazon Machine Image) based on Amazon Linux 2 operating system and published it in the AWS Marketplace (Figure 2). Figure 2: OpenVINOTM AMI offering in AWS Marketplace It is used by the command processor to find the programs or executables it needs. The PATH variable can be set in two ways: In the first case, using SET, the PATH variable is set to c:\bat;c:\dos, in lower case, as specified. In the second case, using PATH, the PATH variable is set to C:\BAT;C:\DOS, in upper case, no matter how it was specified Part 1: OpenVINO™ ツールキットのコア機能. Part 1 では、OpenVINO™ ツールキットの概要と、最も基礎的な2つのソフトウェア、各ディープラーニング・フレームワークからエクスポートされたモデルを推論専用の形式へ変換するツール「モデル・オプティマイザー (Model Optimizer)」および、Python*、C/C++.

Run OpenVINO-2021.2, OpenCV-4.5.1-openvino on M1 MacBook ..

Let's now see how to run a simple code in Python. Run a Code in Python. You can run a code in Python via the Python IDLE. A quick way to find your Python IDLE on Windows is by clicking on the Start menu. You should then see the IDLE under Recently added Once you click on the Python IDLE, you'll see the Shell screen Python* アプリケーション開発向け OpenVINO™ スターターキットは、ディープラーニング推論を活用したアプリケーション開発を加速する PC と深度センサー付きカメラがセットのスターター向けキットです。Ubuntu 16.04、OpenVINO™. openvino 官网:https 软件环境和硬件设备的简要介绍. 软件环境介绍: 操作系统:ubuntu18.04、Openvino version:2021.3、python version:3.6.9 OpenVINO™ ツールキット付属のデモや 作成したアプリケーションの実行を簡単にするために、シェルスクリプトを使った起動ファイルを作成する。 モデルファイルの精度やデバイス指定を環境変数としてより簡単にマルチデバイス対応できるようにする 2021-07-09T03:18:42.2889354Z ##[section]Starting: Linux_CI_Dev 2021-07-09T03:18:42.4534903Z ##[section]Starting: Initialize job 2021-07-09T03:18:42.4535976Z Agent name: 'Linux-CPU-2019 6' 2021-07-09T03:18:42.4536338Z Agent machine name: 'f98afeacc000000' 2021-07-09T03:18:42.4536584Z Current agent version: '2.188.3' 2021-07-09T03:18:42.4571298Z ##[group]Operating System 2021-07-09T03:18:42.

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