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![Code sample - vision
using Microsoft.ProjectOxford.Vision;
using Microsoft.ProjectOxford.Vision.Contract;
// Create Cognitive Services Vision API Service client
VisionServiceClient VisionServiceClient = new VisionServiceClient(SubscriptionKey);
// Analyze the url for all visual features
VisualFeature[] visualFeatures = new VisualFeature[] {
VisualFeature.Adult,
VisualFeature.Categories,
VisualFeature.Color,
VisualFeature.Description,
VisualFeature.Faces,
VisualFeature.ImageType,
VisualFeature.Tags };
AnalysisResult analysisResult = await VisionServiceClient.AnalyzeImageAsync(imageUrl,
visualFeatures);
return analysisResult;](https://image.slidesharecdn.com/20170503-univfernandopessoa-microsoftcognitiveservicesbots-final-170508130515/75/Microsoft-Cognitive-Services-Bot-Framework-Universidade-Fernando-Pessoa-14-2048.jpg)
![Code sample – face detect
public ObservableCollection<Face> DetectedFaces = new ObservableCollection<Face>();
var faceServiceClient = new FaceServiceClient(subscriptionKey);
Contract.Face[] faces = await faceServiceClient.DetectAsync(fileStream, false, true,
new FaceAttributeType[] { FaceAttributeType.Gender,
FaceAttributeType.Age,
FaceAttributeType.Smile,
FaceAttributeType.Glasses });
foreach (var face in faces) {
DetectedFaces.Add(new Face() {
ImagePath = SelectedFile,
Left = face.FaceRectangle.Left,
Top = face.FaceRectangle.Top,
Width = face.FaceRectangle.Width,
Height = face.FaceRectangle.Height,
FaceId = face.FaceId.ToString(),
Gender = face.FaceAttributes.Gender,
Age = string.Format("{0:#} years old", face.FaceAttributes.Age),
IsSmiling = face.FaceAttributes.Smile > 0.0 ? "Smile" : "Not Smile",
Glasses = face.FaceAttributes.Glasses.ToString(),
});
}](https://image.slidesharecdn.com/20170503-univfernandopessoa-microsoftcognitiveservicesbots-final-170508130515/75/Microsoft-Cognitive-Services-Bot-Framework-Universidade-Fernando-Pessoa-15-2048.jpg)
![Code sample – emotions
using Microsoft.ProjectOxford.Emotion;
using Microsoft.ProjectOxford.Emotion.Contract;
// Create Project Oxford Emotion API Service client
EmotionServiceClient emotionServiceClient = new EmotionServiceClient(subscriptionKey);
try {
// Detect the emotions in the URL
Emotion[] emotionResult = await emotionServiceClient.RecognizeAsync(url);
return emotionResult;
}
catch (Exception exception) {
return null;
}](https://image.slidesharecdn.com/20170503-univfernandopessoa-microsoftcognitiveservicesbots-final-170508130515/75/Microsoft-Cognitive-Services-Bot-Framework-Universidade-Fernando-Pessoa-16-2048.jpg)
Uploaded byRui Quintino
Microsoft Cognitive Services & Bot Framework - Universidade Fernando Pessoa
This document discusses Microsoft's Cognitive Services and related technologies like Computer Vision, Face and Emotion APIs, and the Bot Framework. Code samples are provided to demonstrate how to use Computer Vision APIs to analyze images and detect faces. The document also promotes Microsoft's Cognitive Services, Bot Framework, and Cortana Intelligence Suite for building intelligent bots and applications using AI and machine learning technologies.
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Similar to Microsoft Cognitive Services & Bot Framework - Universidade Fernando Pessoa
Microsoft Cognitive Services & Bot Framework - Universidade Fernando Pessoa
- 1. Principal Technical Evangelist Microsoft UniversidadeFernando Pessoa
- 2. Luís Calado Principal TechnicalEvangelist Microsoft @elcalado [email protected]
- 3. Data R&D @DevScope #PowerBI #SQLServer #Web #Analytics #Azure #Microsoft #MachineLearning #R #Linux #Bots #Hadoop #Docker #Python #Coaching #Learning twitter.com/rquintino rquintino.wordpress.com [email protected] www.devscope.net “jack of all trades (and master of none)“ 1. a person who can do many different types of work but who is not (necessarily…) very competent at any of them…
- 4. Bringing it alltogether The Seeing AI App Computer Vision, Image, Speech Recognition, NLP, and ML from Microsoft Cognitive Services Watch Video HereRead Blog Here
- 5.
- 8. DEMO Computer Vision, Face &Emotion APIs
- 13.
- 14. Code sample -vision using Microsoft.ProjectOxford.Vision; using Microsoft.ProjectOxford.Vision.Contract; // Create Cognitive Services Vision API Service client VisionServiceClient VisionServiceClient = new VisionServiceClient(SubscriptionKey); // Analyze the url for all visual features VisualFeature[] visualFeatures = new VisualFeature[] { VisualFeature.Adult, VisualFeature.Categories, VisualFeature.Color, VisualFeature.Description, VisualFeature.Faces, VisualFeature.ImageType, VisualFeature.Tags }; AnalysisResult analysisResult = await VisionServiceClient.AnalyzeImageAsync(imageUrl, visualFeatures); return analysisResult;
- 15. Code sample –face detect public ObservableCollection<Face> DetectedFaces = new ObservableCollection<Face>(); var faceServiceClient = new FaceServiceClient(subscriptionKey); Contract.Face[] faces = await faceServiceClient.DetectAsync(fileStream, false, true, new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Glasses }); foreach (var face in faces) { DetectedFaces.Add(new Face() { ImagePath = SelectedFile, Left = face.FaceRectangle.Left, Top = face.FaceRectangle.Top, Width = face.FaceRectangle.Width, Height = face.FaceRectangle.Height, FaceId = face.FaceId.ToString(), Gender = face.FaceAttributes.Gender, Age = string.Format("{0:#} years old", face.FaceAttributes.Age), IsSmiling = face.FaceAttributes.Smile > 0.0 ? "Smile" : "Not Smile", Glasses = face.FaceAttributes.Glasses.ToString(), }); }
- 16. Code sample –emotions using Microsoft.ProjectOxford.Emotion; using Microsoft.ProjectOxford.Emotion.Contract; // Create Project Oxford Emotion API Service client EmotionServiceClient emotionServiceClient = new EmotionServiceClient(subscriptionKey); try { // Detect the emotions in the URL Emotion[] emotionResult = await emotionServiceClient.RecognizeAsync(url); return emotionResult; } catch (Exception exception) { return null; }
- 17.
- 18. Bot Connector Service Connectyour bot(s) seamlessly to text/sms, Office 365 mail, Skype, Slack, Twitter and more A service to register your bot, configure channels and publish to the Bot Directory Bot Builder SDK Everything you need to build great dialogs within your Node.js or C# bot An open source SDK hosted on GitHub Bot Directory Discover, try, and add bots to conversation experiences A public directory of bots registered and approved with Bot Framework
- 20.
- 27. LUIS Understand what yourusers are saying Use pre-built Bing & Cortana models or create your own
- 33. Cortana Intelligence Suite Transformdata into intelligent action Intelligence Dashboards & Visualizations Information Management Big Data Stores Machine Learning and Analytics CortanaEvent Hub HDInsight (Hadoop and Spark) Stream Analytics Data Sources Apps Sensors and devices Data Intelligence Action People Automated Systems Apps Web Mobile Bots Bot Framework SQL Data WarehouseData Catalog Data Lake Analytics Data Factory Machine Learning Data Lake Store Blob Store Cognitive Services Power BI
- 35.
- 38.
- 40. http://azure.microsoft.com https://www.microsoft.com/cognitive-services/en-us/documentation https://www.microsoft.com/cognitive-services https://github.com/Microsoft/ProjectOxford-clientsdk The Bot Framework http://botframework.com/ BotBuilder https://github.com/Microsoft/BotBuilder
Editor's Notes
- #5 Here’s a preview of the Seeing AI app, which started as a research project that helps people who are visually impaired or blind to understand who and what is around them. The app will use computer vision, image & speech recognition, natural language processing and machine learning from Microsoft Cognitive Services. The app is under development and is not available today but it shows what’s possible with the APIs.
- #6 Xiaomin
- #9 Xiaomin
- #13 Why choose these APIs? They work, and it’s easy. Easy: The APIs are easy to implement because of the simple REST calls. Being REST APIs, there’s a common way to implement and you can get started with all of them for free simply by going to one place, one website, www.microsoft.com/cognitive. (You don’t have to hunt around to different places.) Flexible: We’ve got a breadth of intelligence and knowledge APIs so developers will be able to find what intelligence feature they need; and importantly, they all work on whatever language, framework, or platform developers choose. So, devs can integrated into their apps—iOS, Android, Windows—using their own tools they know and love (such as python or node.js, etc.). Tested: Tap into an ever-growing collection of powerful AI algorithms developed by experts. Developers can trust the quality and expertise build into each API by experts in their field from Microsoft’s Research organization, Bing, and Azure machine learning and these capabilities are used across many Microsoft first party products such as Cortana, Bing and Skype.
- #14 Todo: Change to generic icons (no inner logo)
- #15 Xiaomin
- #16 Xiaomin
- #17 Xiaomin
- #21 Xiaomin
- #28 Xiaomin
- #36 Xiaomin