Author: ultroni1

Azure Video Indexer includes predefined models that can recognize well-known celebrities, do OCR, and transcribe spoken phrases into text. You can extend the recognition capabilities of Video Analyzer by creating custom models for:

• People. Add images of the faces of people you want to recognize in videos, and train a model. Video Indexer will then recognize these people in all of your videos.

• Language. If your organization uses specific terminology that may not be in common usage, you can train a custom model to detect and transcribe it.
• Brands. You can train a model to recognize specific names as brands, for example to identify products, projects, or companies that are relevant to your business.

it support

The Azure Video Indexer service is designed to help you extract information from videos. It provides functionality that you can use for:

• Facial recognition – detecting the presence of individual people in the image. This requires Limited Access approval.
• Optical character recognition – reading text in the video.
• Speech transcription – creating a text transcript of spoken dialog in the video.
• Topics – identification of key topics discussed in the video.
• Sentiment – analysis of how positive or negative segments within the video are.
• Labels – label tags that identify key objects or themes throughout the video.
• Content moderation – detection of adult or violent themes in the video.
• Scene segmentation – a breakdown of the video into its constituent scenes.

it consulting

A cmdlet (pronounced “command-let”) is a compiled command. A cmdlet can be developed in .NET or .NET Core and invoked as a command within PowerShell. Thousands of cmdlets are available in your PowerShell installation. The challenge lies in discovering what the cmdlets are and what they can do for you.

Cmdlets are named according to a verb-noun naming standard. This pattern can help you to understand what they do and how to search for them. It also helps cmdlet developers create consistent names. You can see the list of approved verbs by using the Get-Verb cmdlet. Verbs are organized according to activity type and function.

infrastructure services

PowerShell consists of two parts: a command-line shell and a scripting language. It started out as a framework to automate administrative tasks in Windows. PowerShell has grown into a cross-platform tool that’s used for many kinds of tasks.

A command-line shell lacks a graphical interface, where you use a mouse to interact with graphical elements. Instead, you type text commands into a computer console. Here are some of the benefits of using a console:

• Interacting with a console is often faster than using a graphical interface.
• In a console, you can run batches of commands, so it’s ideal for task automation for continuous-integration pipelines.
• You can use a console to interact with cloud resources and other resources.
• You can store commands and scripts in a text file and use a source-control system. This capability is probably one of the biggest benefits, because your commands are repeatable and auditable. In many systems, especially government systems, everything must be traced and evaluated, or audited. Audits cover everything from database changes to changes done by a script.

hrms

As an IT Admin for Contoso Corporation, you need alternatives to interact with Azure resources from the command line even when not using your default administrative device.

You can use Azure Cloud Shell to:

• Open a secure command-line session from any browser-based device.
• Interact with Azure resources without the need to install plug-ins or add-ons to your device.
• Persist files between sessions for later use.
• Use either Bash or PowerShell, whichever you prefer, to manage Azure resources.
• Edit files (such as scripts) via the Cloud Shell editor.

You shouldn’t use Azure Cloud Shell if:

• You intend to leave a session open for more than 20 minutes for long running scripts or activities. In these cases, your session is disconnected without warning, and the current state is lost.
• You need admin permissions, such as sudo access, from within the Azure CLI or PowerShell environment.
• You need to install tools that aren’t supported in the limited Cloud Shell environment, but instead require an environment such as a custom virtual machine or container.
• You need storage from different regions. You might need to back up and synchronize this content since only one region can have the storage allocated to Azure Cloud Shell.
• You need to open multiple sessions at the same time. Azure Cloud Shell allows only one instance at time and isn’t suitable for concurrent work across multiple subscriptions or tenants.

financial

As an IT admin for Contoso Corporation, you’re frequently on-call to perform administrative tasks and resolve workload disruptions to resources in your organization’s Azure subscriptions. When visiting a family member during a weekend that you’re on call, the development team notifies you of a problem with an Azure virtual machine (VM). The VM became nonresponsive during scheduled maintenance for the upgrade of an application that runs on it. Because the developers weren’t granted access to the underlying Azure virtual machine hosting infrastructure, they’re only able to remotely access the VM when it’s operating normally. So, you’re being called to diagnose and remediate the problem.

Since you’re visiting family, you don’t have access to your administrative workstation and diagnostic scripts. You do have access to a laptop with an internet browser. Using the laptop, you browse to the Azure portal, authenticate against your organization’s Azure subscription, open Azure Cloud Shell, mount an Azure File Share, access your diagnostic scripts, and diagnose and remediate the problems with the VM, returning it to operation.

feature

Azure Cloud Shell is a command-line environment you can access through your web browser. You can use this environment to manage Azure resources, including VMs, storage, and networking. Just like you do when using the Azure CLI or Azure PowerShell.

Because Microsoft manages Cloud Shell, you always have access to the most recent versions of the Azure CLI and PowerShell modules right from any browser. You don’t have to worry about keeping modules up to date. With Cloud Shell, you just open your browser and sign in. Just like that, you have access to a command-line environment fully connected with your account’s permissions and the resources to which you have access. All that works in an infrastructure that’s compliant with double encryption at rest by default. You don’t need to take any further action!

Azure Cloud Shell also provides cloud storage to persist files such as SSH keys, scripts, and more. This functionality lets you access important files in between sessions and with different machines. Finally, you can use the Cloud Shell editor to make changes to files, such as scripts, that are saved into this cloud storage directly from the Cloud Shell interface.

erp

After you’ve trained an image classification model, you can use the Azure AI Custom Vision SDK to develop a client application that submits new images to be classified.

C#Copy

using System;
using System.IO;
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction;

// Authenticate a client for the prediction API
CustomVisionPredictionClient prediction_client = new CustomVisionPredictionClient(new ApiKeyServiceClientCredentials("<YOUR_PREDICTION_RESOURCE_KEY>"))
{
    Endpoint = "<YOUR_PREDICTION_RESOURCE_ENDPOINT>"
};

// Get classification predictions for an image
MemoryStream image_data = new MemoryStream(File.ReadAllBytes("<PATH_TO_IMAGE_FILE>"));
var result = prediction_client.ClassifyImage("<YOUR_PROJECT_ID>",
                                             "<YOUR_PUBLISHED_MODEL_NAME>",
                                             image_data);

// Process predictions
foreach (var prediction in result.Predictions)
{
    if (prediction.Probability > 0.5)
    {
        Console.WriteLine($"{prediction.TagName} ({prediction.Probability})");
    }
}

digital transformation

Image classification is a computer vision technique in which a model is trained to predict a class label for an image based on its contents. Usually, the class label relates to the main subject of the image.

For example, the following images have been classified based on the type of fruit they contain.

Models can be trained for multiclass classification (in other words, there are multiple classes, but each image can belong to only one class) or multilabel classification (in other words, an image might be associated with multiple labels).

data analytics

The Azure AI Custom Vision service enables you to build your own computer vision models for image classification or object detection.

To use the Custom Vision service to create a solution, you need two Custom Vision resources in your Azure subscription:

• An Azure AI Custom Vision training resource – used to train a custom model based on your own training images.
• An Azure AI Custom Vision prediction resource – used to generate predictions from new images based on your trained model.

When you provision the Azure AI Custom Vision service in an Azure subscription, you can choose to create one or both of these resources. This separation of training and prediction provides flexibility. For example, you can use a training resource in one region to train your model using your own image data; and then deploy one or more prediction resources in other regions to support computer vision applications that need to use your model.

Each resource has its own unique endpoint and authentication keys; which are used by client applications to connect and authenticate to the service.

cyber security