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Problem 1 We have discussed the 2D planar perspective transformation, also known as 2D homography, which maps a point (x, y) to a new location (x′, y′) in the plane. This transformation can be represented using the following equation. When using homogeneous coordinate representation as shown here, recall that s is simply a scalar term that is to be eliminated when solving for (x′, y′). As discussed in the textbook near equations (2.20)-(2.21), there are only 8 degrees of freedom in this equation
Computer vision is a sub-field of Artificial Intelligence that helps machines to understand visual representation by analyzing digital images. This is achieved by training different deep learning algorithms on image datasets(or video) to recognize different patterns in the image pixels. There by giving them ability to see and accurately identify objects and classify them into a certain category. In simpler words computer vision includes a set of algorithms which help machines see the real worl
Fine-tuning in machine learning deep neural network Fine-Tuning we optimize both the weights of the new classification layers we have added, as well as some or all of the layers from the model. Here we will learn how to implement the " Hot Dog Recognition ". First import all the libraries related to
Image Augmentation using machine learning computer vision This is a deep learning neural network task that is used for image classification for computer vision. Image Augmentation is a technique in which we can maintain the quality of the image after some changes with the image, For example, we ca
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