microsoft-cognitive

问题 I am currently using Microsoft Azure Cognitive Services Handwriting Detection API. The API returns a set of values for the bounding box: { "boundingBox": [ 2, 52, 65, 46, 69, 89, 7, 95 ], "text": "dog", . . . I would like to make sense of these 8 parameters. What is their significance and what do they reflect? I tried hard finding about them in Microsoft API's documentation, but of no use. Kindly help me understand what these parameters mean or link me to some place where this doubt can be

问题 What is the best way to transcribe medium/large audio files, ~ 6-10 mins each file, using Microsoft Speech API? Something like batch audio files transcription? I have used the code provided in https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-to-text-sample, for continuously transcribing speech, but it stops transcribing at some point. Is there any restriction on the transcription? I am only using the free trial account atm. Btw, I assume there is no difference

问题 Following the guide here to install the microsoft azure text to speech SDK: https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/quickstart-python#install-the-speech-sdk It says to run pip install azure-cognitiveservices-speech , but unfortunately this returns Could not find a version that satisfies the requirement azure->cognitiveservices-speech (from versions: ) No matching distribution found for >azure-cognitiveservices-speech I've tried adding the version # at the end

问题 Following the guide here to install the microsoft azure text to speech SDK: https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/quickstart-python#install-the-speech-sdk It says to run pip install azure-cognitiveservices-speech , but unfortunately this returns Could not find a version that satisfies the requirement azure->cognitiveservices-speech (from versions: ) No matching distribution found for >azure-cognitiveservices-speech I've tried adding the version # at the end

问题 I am trying to call QnA Maker on a waterfall dialog step . How do I call it from this watterfall step, do I need to set up QnA On the waterfall step, do I need to call QnA from a LUIS intent , what can I do? I need it to get the first result from the QnA using the step context from the previous question. Can anyone help? Code: private async Task<DialogTurnResult> QnaAsync(WaterfallStepContext stepContext, CancellationToken cancellationToken) { var response = await qnaMaker.GetAnswersAsync

问题 I am trying to call QnA Maker on a waterfall dialog step . How do I call it from this watterfall step, do I need to set up QnA On the waterfall step, do I need to call QnA from a LUIS intent , what can I do? I need it to get the first result from the QnA using the step context from the previous question. Can anyone help? Code: private async Task<DialogTurnResult> QnaAsync(WaterfallStepContext stepContext, CancellationToken cancellationToken) { var response = await qnaMaker.GetAnswersAsync

问题 I am trying to call QnA Maker on a waterfall dialog step . How do I call it from this watterfall step, do I need to set up QnA On the waterfall step, do I need to call QnA from a LUIS intent , what can I do? I need it to get the first result from the QnA using the step context from the previous question. Can anyone help? Code: private async Task<DialogTurnResult> QnaAsync(WaterfallStepContext stepContext, CancellationToken cancellationToken) { var response = await qnaMaker.GetAnswersAsync

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

来源： https://stackoverflow.com/questions/53876142/documentation-examples-for-custom-entity-detection-azure-nlp-text-analytics