allie | automated machine learning framework for audio text | Machine Learning library

This in no way a complete answer. I assume you don't want to map/create classes for each "sub class", e.g. Barbarian, Wizard etc. You could perhaps use JsonConverter. The example only handles the first "anonymous" range of objects. Maybe you'll find some of this useful.

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I tried to read the frames in openCV and display them in tkinter label. I was able to do so using the below code:

Use res.json() to get json data from api.

So I eventually resolved this by simply changing the $HEROKU_API to $HEROKU_API_KEY. This is an environment variable that when present automatically logs you into the Heroku CLI enabling you to run the scripts required to upload to your docker containers to Heroku. This is the travis.yml I eventually ended up with

Resolved this, set it up differently though. See below. I think the stages have to be set up with the jobs/include object as seen below

see new travis.yml

As mentioned in the comment using an XMLParser here would be a good idea. Define your XMLParser, and set its delegate (XMLParserDelegate) which is a class you define (inheriting from XMLParserDelegate!). there you need two functions:

TRY :

As I mentioned in the comments, the Video Intelligence transcripts are splits with roughly 50-60 seconds from the video.

I have created a Public Issue Tracker case, link, so the product team can clarify this information within the documentation. Although, I do not have an eta for this request, I encourage you to follow the case's thread.