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We Implemented a Convolutional Neural Network (CNN) and the PyTorch library to analyze and recognize real-world digital numbers in the Street View House Numbers (SVHN) Dataset.
I developed an object detector based on gradient features and sliding window classification. By feeding training examples, we can detect the object of interest in an image.
Designed and simulated a Pipelined-5-stage MIPS Processor using Verilog on Vivado, incorporating Forwarding and Hazard Detection techniques.
I wrote functions to warp one face to another with smooth transitions using the piecewise affine warping technique.
Given an input texture, I generated new texture patches and stitched them together to synthesize new texture images.
