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What it does
In this project, we are cartoony an image and image to image translation using different algorithms. First, we convert an image (Image of my face) to a cartoon image using different algorithms. In the output, we will get a cartoon image of an input given image.
Second, we are applying style transfer and deep dream methods to an image. Style transfer takes two input images one is a content image (image of a person) and a style image(image of a painting) and blends them together so the output image looks like the content image, but “painted” in the style of the style reference image. Deep Dream takes an input image and visualizes the patterns learned by a neural network in the given image.
Third, Image to image translation takes two images as an input. It aims to transfer images from a source domain to a target domain while preserving the content representations.
How we built it
We have built it using the Streamlit framework for web development.
Challenges we ran into
While deploying the app we ran into many challenges.
What we learned
We have learned different Ml and deep learning models.
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