SVHN 데이타셋
https://medium.com/towards-data-science/visual-attention-model-in-deep-learning-708813c2912c
파이썬으로 Homomorphic Filtering 하기
import cv2 # For OpenCV modules (For Image I/O and Contour Finding) import numpy as np # For general purpose array manipulation import scipy . fftpack # For FFT2 #### imclearborder definition def imclearborder ( imgBW , radius ): # Given a black and white image, first find all of its contours imgBWcopy = imgBW . copy () contours , hierarchy = cv2 . findContours ( imgBWcopy . copy (), cv2 . RETR_LIST , cv2 . CHAIN_APPROX_SIMPLE ) # Get dimensions of image imgRows = imgBW . shape [ 0 ] imgCols = imgBW . shape [ 1 ] contourList = [] # ID list of contours that touch the border # For each contour... for idx in np . arange ( len ( contours )): # Get the i'th contour cnt = contours [ idx ] # Look at each point in the contour for pt in cnt : rowCnt = pt [ 0 ][ 1 ] colCnt = pt [ 0 ][ 0 ] # If this is within the radius of th...
SVHN
답글삭제Google Street View House Number images (SVHN), available from here: http://ufldl.stanford.edu/housenumbers/
10 classes, 1 for each digit. Digit ‘1’ has label 1, ‘9’ has label 9 and ‘0’ has label 10.
73257 digits for training, 26032 digits for testing, and 531131 additional, somewhat less difficult samples, to use as extra training data