Changing Image Backgrounds Using Image Segmentation. Make the world your green screen. Hello readers! In this article I’ll be discussing another cool trick we can do with deep learning.
Hello readers! In this article I’ll be discussing another cool trick we can do with deep learning. Specifically, we’ll see how to change the background in an image or in a video, just like they do in news rooms and in movies. In those cases they use (expensive and bulky) green screens to achieve this task.
We’ll simply be using the magic of deep learning to achieve that feat.
I have explained a bit about how we can make a computer intelligent and make it do some unbelievable stuff on images or videos using convolutional neural networks (CNNs) in my previous blog, where I gave an overview about how we can make use of these CNNsto track people in a video:
In this effort to change image/video frame backgrounds, we’ll be using image segmentation an image matting. I’ll provide a brief overview of both tasks, and then I’ll explain how to combine them.
Image segmentation is, essentially, a classification task in which we classify each pixel as belonging to one of the target classes. So when you pass an image through a segmentation model, it will give one label to each of the pixels that present in the image.
If we then color each pixel based on the class that pixel belongs to, we’ll be able to easily locate objects and their boundaries. Here’s what this looks like in practice:
The image on the left is the input image, and the one on the right is the output. As you can see, each pixel belonging to a particular target class is a different color. In this case, pixels belonging to houses are red, and pixels belonging to the non-road ground is blue.
Implementing an image segmentation model that changes backgrounds. Hello seekers! In this post (part 2 of our short series — you can find part 1 here), I’ll explain how to implement an image segmentation model with code. This model will allow us to change the background of any image, just by using the API that we’ll build.
Being a practitioner in Machine Learning, you must have gone through an image classification, where the goal is to assign a label or a class to the input image.
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In this article, I will take you through a brief explanation of Image Segmentation in Deep Learning. I will only explain the concept behind the image segme.
During my studies at JKU there was a task for preprocessing images for a machine learning project. It is necessary to clean the raw images…