I completed deployment for spatial analysis by referencing the following docs.
https://github.com/Azure-Samples/cognitive-services-sample-data-files/blob/master/ComputerVision/spatial-analysis/DeploymentManifest-NonASE.json
For video URL and polygon setting, I referred to the following link.
https://github.com/Azure-Samples/cognitive-services-spatial-analysis/blob/main/deployment.json

And output stream of JSON messages were generated, which sent to my Azure blob storage. And I was trying to visualize the coordinates of bounding box from outputs on the recorded video without using .debug operation. Output, especially 'detection' part, can be visualized as an video only when frameId is taken at regular time intervals.

Here I got some problems.

1. Looking at the events in JSON, the frameId used for each event was different.
   ('personDistanceEvent' : 1 to 820,
   'personCountEvent' : 1 to 782,
   'personZoneDwellTimeEvent' : 1375 to 9066,
   'personZoneEnterExitEvent' 1389 to 4285: ,
   'personLineEvent' : 1756, 2443,
   'cameraCalibrationEvent' : 7784, 8143)

2. Even though I set the 'trigger' as 'interval', it was not that periodic. Timestamps were not spaced uniformly, neither was frameId.
   This is part of timestamp of personCountEvent.
   
   This is part of frameId of perconCountEvent. Sometimes the interval is 1, sometimes 2, sometimes more.
   

Here's my question.

1. I would like to know if there is any criteria for cutting frames for each event.
2. Is there another method to display the detection result on the video without using .debug operation?

May you please share/provide guide on how the QnA KB Active Learning file is being generated?
https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/question-answering/tutorials/active-learning#enable-active-learning
qna-maker/knowledge-bases/SampleActiveLearning.tsv

I am using face api for comparing two images in python by verify.I cannot do it on Python on my google colab stored files.Anyt help?

qna-maker/data-source-formats/semi-structured.docx
I think this is not the sample for semi-structured document for QnA resource
it is an article about Manage Azure Blob Storage resources with Storage Explorer
please

File with Issue: Custom multi classification - movies summary.zip
Tutorial link: https://learn.microsoft.com/en-us/training/modules/enrich-search-index-using-language-studio/04-exercise-enrich-cognitive-custom-classes

There's a mismatch between 2 of the .txt filenames and the ones in JSON file - causing error when training the movie-genre-classifier.

Would it be possible for someone to build a template for Q&A Maker that would work for many questions : many answer relationships? Are table formats parse correctly? Or potentially documentation on what the parser is looking for to support many:many questions.

the sample label jason file has format issue. when I import it, it said "InvalidArgument: Invalid project json object. Cannot deserialize the current JSON array (e.g. [1,2,3]) into type 'ExportedDocumentClass' because the type requires a JSON object (e.g. {"name":"value"}) to deserialize correctly. To fix this error either change the JSON to a JSON object (e.g. {"name":"value"}) or change the deserialized type to an array or a type that implements a collection interface (e.g. ICollection, IList) like List that can be deserialized from a JSON array. JsonArrayAttribute can also be added to the type to force it to deserialize from a JSON array. Path 'assets.documents[0].class', line 1, position 352. "

I notice someone raise the same issue a few days before, and I don't think it is already resolved

There are a few duplicate elements in the .json file containing the labels (movieLabels.json) for multi-label classification in this tutorial: https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/custom-text-classification/quickstart?tabs=multi-classification&pivots=language-studio#upload-sample-data-to-blob-container. If you follow it to the letter using Language Studio, it will throw an error mentioning these duplicates.

If you delete the duplicates, which are the final 11 elements in the list, it works.

There are paragraph html tags in the answer column of this sample file, which seems to break the bot integration with Slack.

When I imported, trained, and deployed the document here:

https://github.com/Azure-Samples/cognitive-services-sample-data-files/blob/master/qna-maker/data-source-formats/multi-turn.docx

The resulting chat was not multi-turn. None of the multi-turn buttons were present.

It wasn't clear how the document was formed. Is there a word template for the formatting of bot headings for multi-turn? I wasn't sure how closely I needed to mimic the formatting in this document to get multi-turn behavior, and since it wasn't working for me with the standard Word Heading 1, Heading 2, etc. I tried loading this document to see if it would demonstrate multi-turn conversations and it did not.

My bot was created using the steps from this Quickstart: https://docs.microsoft.com/en-us/azure/cognitive-services/QnAMaker/Quickstarts/create-publish-knowledge-base#create-a-bot