Emotion Classification on Video with phData - Watch on Demand

CoreyS
Dataiker Alumni
0 min read 1 2 1,941

In this session, Robert Coop, phData's Director of Machine Learning, walks through the process of using deep learning on Dataiku to detect and classify the emotions expressed by people in videos. 

We cover using custom Python code to process video into still frames, using Dataiku's deep learning for images plugin to classify the emotions in each frame, and tying it all together into a Flow that can be used to run the project end-to-end.  Additionally, we will show you how to use Dataiku to deploy this model as a web service API and score videos submitted to the server.

 

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2 Comments
tbala2805
Level 1

Hi !

 

I am following the blog! 

Where I am confusing in [New tab (phdata.io)] Step 6:B where you mentioned project key : AWS DEVEMOTION DETECTION please let me know how to find this project key

tbala2805
Level 1

Yes I am waiting for his guidance to learn this tutorial kindly provide some chance to explore this end to end tutorial better

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