Alireza Azadbakht | Alireza Javaheri
this course contains four main projects and one research:
in this project, we try to implement 3 main filters and transformations in machine vision and an implementation of convolution:
SOBEL FILTER
& CANNY FILTER
& HOUGH TRANSFORMATION
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in this project , we implement scale-invariant feature transform (SIFT) a feature detection algorithm . Readmore
in this project, we follow the steps in Wikipedia and toward data science post about BoVW to implement this method in object recognition Readmore
in this project, we try to use tensorflow api to create a Convolutional neural networkto work with mnist data set and get results Readmore
our task here was to reasearch about Recurrent neural networks and their aplications Readmore