This is for coding some algorithms both in classes and after, both conventional and deep learning.
project 1's tasks lie on how to use low pass and high pass filter on different pictures and then merge different handled figures into one picture and then down-sampling !
project 3 is purposed on the how to make features selections and classifications on different pictures.
The main flow paths are as follows:
- preprocessing figures
- getting SIFT features
- K-means cluster algorithm
- getting BOW(Bag of words) model
- SVM/KNN classification algorithm