From 6e16d93f9d56596e00ab05bd79185e63c0c1544c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E7=8E=8B=E5=AD=90=E7=91=8B=20=28WANG=20TZU=20WEI=29?= <71576733+JeffWang0325@users.noreply.github.com> Date: Thu, 30 Sep 2021 07:30:28 +0800 Subject: [PATCH] Update README.md --- README.md | 63 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 63 insertions(+) diff --git a/README.md b/README.md index 1161cfe..02abc1f 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,70 @@ Please click the following figures or links to watch GUI demo videos: [![Everything Is AWESOME](http://img.youtube.com/vi/Z_srnaLAVeg/sddefault.jpg)](https://youtu.be/Z_srnaLAVeg) ## ※Outline: +**1. Overall Structure** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/01.jpg) +**2. Language - QnA Maker in Azure** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/02.jpg) +●Construct the Q&A's knowledge base in Azure **QnA Maker** service, and then train and test the model, and finally publish the API. + +**3. Language - LUIS in Azure** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/03.jpg) +●Construct the LUIS's **Intents**, **Entities** and the corresponding example sentences in Azure **LUIS** service, and then train and test the model, and finally publish the API. + +**4. Language - Config Setting** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/04.jpg) + +**5. Language - QnA Maker** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/05.jpg) +●Users can easily ask questions and get answers. + +**6. Language - LUIS** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/06.jpg) +●Analyze a sentence, and then get the intent, entities and the corresponding entity typies. + +**7. Vision - Computer Vision** +●**Analyze Image**: Analyze the image, and then get some information, including gender, age, summary, categories, tags, adult, color scheme, landmarks, image type, etc. +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/07-1.jpg) + +●**Detect Object**: Detect all possible objects in the image, and then get the object class and the corresponding confidence. +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/07-2.jpg) + +●**Read Text (OCR)**: **OCR** means **Optical Character Recognition**. This operation can detect the texts and url links in the image and display them in the right information field. +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/07-3.jpg) + +**8. Vision - Custom Vision** +●**Custom Vision** is classified into two categories: **Classification** and **Object Detection**. It allows users to train customized models according to their needs. + +●**Classification**: +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/08-1.jpg) + +●**Object Detection**: +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/08-2.jpg) + +●**Note**: **Probability Threshold** must be properly determined by a large amount of data verification. + +**9. Vision - Face** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/09.jpg) +●Detect all possible faces in the image, and get the information for each face, such as accessories, age, blur, emotion, exposure, facial hair, gender, glasses, hair, head pose, make-up, noise, occlusion, smile, etc. + +**10. Vision - Form Recognizer** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/10.jpg) +●Recognize the receipt informaiton in the image. + +**11. Speech - Text To Speech** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/11.jpg) +●Convert text to speech based on different languages. The output voice can select gender and voice name. + +**12. Speech - Speech To Text** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/12.jpg) +●Convert speech to text based on different languages. +●Its largest advantage is that it does not need to be assigned a specific language, it will detect which language the voice belongs to by itself. +●Thus, I think this is a practical tool that allows us to practice pronunciation. + +**13. Speech - Speech Translation** +![](https://github.com/JeffWang0325/Microsoft-Azure-Cognitive-Services/blob/master/README%20Image/13.jpg) +●**Speech Translation** can translate a speech into multiple languages. The output voice can select gender and voice name. --- # Contact Information: