How to use an existing pretrained ML model with examples
Budget: €30 – €250 EUR
I'm trying to find "epic moments" in live content through deep learning, and I found this article (https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-021-00295-6) which makes research that it's exactly what I want to achieve.
In the supplementary material (codes and embeddings), he provides the necessary code and models to make it work (full content in its GitHub https://github.com/dscig/twitch-highlight-detection).
I'm not an ML developer, so I don't know how to use the model to get the expected output, and I would like to know how to use this model so I can pass some input data and get the output which indicates if it is an epic moment or not. I'm used to typical functions f(x) which provides an output y (i.e. f(x) = y), and I really don't know how to pass some arguments to that trained model to get the output which indicates if it is an epic moment or not.
I would like to someone explain to me how this trained model works, and how can I use it so given the input of the model (chat messages, video frames, etc) it returns me if the moment is epic or not (with examples).
In the supplementary material (codes and embeddings), he provides the necessary code and models to make it work (full content in its GitHub https://github.com/dscig/twitch-highlight-detection).
I'm not an ML developer, so I don't know how to use the model to get the expected output, and I would like to know how to use this model so I can pass some input data and get the output which indicates if it is an epic moment or not. I'm used to typical functions f(x) which provides an output y (i.e. f(x) = y), and I really don't know how to pass some arguments to that trained model to get the output which indicates if it is an epic moment or not.
I would like to someone explain to me how this trained model works, and how can I use it so given the input of the model (chat messages, video frames, etc) it returns me if the moment is epic or not (with examples).