From the course: Grasshopper: Tips, Tricks, and Techniques

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Apply the network to classify face parts

Apply the network to classify face parts

From the course: Grasshopper: Tips, Tricks, and Techniques

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Apply the network to classify face parts

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- Welcome. I have my exercise file open, already. This is the third in five videos that focus on machine learning within Grasshopper 3D using the Crow plugin. In this video, I've already prepared some training data so I have a face mesh, here. I'm training this neural network to recognize the different parts of the face. And now I want to test out whether I can use that trained neural network to classify a new face that I'm going to input. So I have here, some sample faces. And I'm getting these faces from open source 3D Face database. These are dramatically reduced in size but you can find data around faces. Most of it's going to be academic for training algorithms like this. So here's a sample face I'm going to test out using this one, here. Okay, so I've inputted that mesh. I'm going to copy this cluster. This is the cluster that I'm using to convert face meshes into these 9-dimensional vectors that describe…

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