azure-cognitive-services

问题 I'm developing an app to create conversations outside of luis portal. This means that most of the info I get related to my luis app comes from api calls. The issue I have is that I can't find the api calls to get information from the Dashboard I know i can get raw information from other api calls, digested and then display it in charts graphs, etc. However some of the api calls have to much payload. The reason I want api calls to the dashboard is to retrieve all the data already digested. Any

问题 I tried to use this Nuget package, but I can't connect to the API. I got an error " Rejecting re-init on previously-failed class java.lang.Class: java.lang.NoClassDefFoundError: Failed resolution of: Lorg/apache/http/client/methods/HttpPost;" so I can't use any of the FaceClient functions- they're all return null. I use Xamarin Android 回答1: I added the line <uses-library android:name="org.apache.http.legacy" android:required="false" /> at the <applicaion> tag in the AndroidManifest.xml file

问题 I perform a bing API search for webpages and the query cameras . The first "page" of results ( offset=0 , count=50 ) returns 49 actual results. It also returns a totalEstimatedMatches of 114000000 -- 114 million. Neat, that's a lot of results. The second "page" of results ( offset=49 , count=50 ) performs similarly... ...until I reach page 7 ( offset=314 , count=50 ). Suddenly totalEstimatedMatches is 544 . And the actual count of results returned per-page trails off precipitously from there.

问题 I am using Azure Face APi to detect faces in video stream, but for each detected face Azure returns a unique faceId( which is exactly what the documentation says). The problem is, Let's say Mr.ABC appears in 20 video frames, 20 unique faceIds gets generated. I want something that Azure Face should return me a single faceId or a group of FaceIds generated particularly for Mr.ABC so that I can know that its the same person that stays in front of camera for x amount of time. I have read the

问题 Problem Background: I have created an Azure FaceList and I am using my webcam to capture live feed and: sending the stream to Azure Face Detect getting Face Rectangle returned by Face Detect using the returned Face rectangle to add Face Detected from Live Video Stream to my FaceList. (I need to create Face List in order to solve the problem I explained in my other question which is answered by Nicolas, which is what I am following) Problem Details: According to Azure FaceList documentation at

问题 I'm making a demo of speech to text using Azure speech api on browser by node.js. According to API document here, it does specify that it need .wav or .ogg files. But the example down there does a api call through sending byte data to api. So I've already get my data from microphone in byte array form. Is it the right path to convert it to byte and send it to api? Or is it better for me to save it as a .wav file then send to the api? So below is my code. This is stream from microphone part.

问题 I'm using a custom model with labels (created with the sample labeling tool) and getting the results with the "Python Form Recognizer Async Analyze" V2 SDK Code from the bottom of this 1 page. It basicly works but it took over 20 seconds for a single page PDF file to get the results (6 labels used, S0 pricing model). 150 single page pdf files took over one hour. We also tested with the V1 SDK Preview Version (without labels) of the form recognizer which was significantly faster then V2. I

问题 I am creating a new knowledge base connecting it to an already existing Azure Cognitive Service. But I am getting error: "No Endpoint keys found." when i click "Create KB". See capture of the error: My QnAMaker cognitive service has the endpoint 回答1: It seems that there is sometimes the problem that the endpoint keys can only be found, if the Resource Group holding all resources for the QnA Maker Service ( like App Service, Application Insights, Search Service and the Application Service Plan

问题 In this API I had successfully created Identification Profile, as well as created enrollment successfully and checked the operation status and received successfully enrolled. Now I am trying to identify speaker but I am getting an error : b'{"error":{"code":"BadRequest","message":"Audio too long"}}' b'{"error":{"code":"BadRequest","message":"Audio too short"}}' I tried various voice samples with different sizes like 5-Second, 10-Second, 15-Second, 30-Second, 40-Seconds, 80-Seconds. And also

问题 I'm learning to use azure search and I dont find a way to search a term with a middle dash into the ItemId field, doesn't care if the term to search it's at the beginning or at the middle. I have these fields with data in my index +-----+--------------------+-------------+ | Cat | ItemId | Description | +-----+--------------------+-------------+ | 100 | 400800-1100103U | desc item 1 | | 100 | 400800-11001066 | desc item 2 | | 100 | 400800-11001068 | desc item 3 | | 101 | 400800-110010F6 |