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Owl ViT Base Patch32: Zero-shot object detection model using text-image matching for versatile vision applications.
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In this article we will be learning in depth about the Cartoonify Image while employing OpenCV and Python.
We will be working on the application that will help to change the image to its watercolor art form using computer vision operations.
In this article, we will look into JojoGAN and the process of using just one reference style to train and generate sketches
Synthetic Image generation is the creation of artificially generated images that look as realistic as real images.
There are a set of methods that are mainly used for improving image quality for computer vision tasks like binarization, Rescaling
GAN is an algorithmic architecture that consists of two neural networks, which are in competition with each other to generate new data
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