ComputerVision-Course

Overview

Spring 2022 Computer Vision Course Codes of HWs and Final Project

Using VGG16bn and Machine learning methods(SVM, RF, Logistric Regression) to classify Retinal OCT Images('CNV', 'DME', 'DRUSEN', 'NORMAL')

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Corner tracking.ipynb		Corner tracking.ipynb
Final vgg16_and_feature_extraction.ipynb		Final vgg16_and_feature_extraction.ipynb
Implementation of Histogram_equalization.ipynb		Implementation of Histogram_equalization.ipynb
Implementation of convolution.ipynb		Implementation of convolution.ipynb
Implementation of harris_corner_detector.ipynb		Implementation of harris_corner_detector.ipynb
README.md		README.md
midterm.ipynb		midterm.ipynb