Fourier Transform – OpenCV 3.4 with python 3 Tutorial 35

Source code: import cv2 import numpy as np import glob list_images = glob.iglob(“letters/*”) for image_title in list_images: img = cv2.imread(image_title, cv2.IMREAD_GRAYSCALE) f = np.fft.fft2(img) fshift = np.fft.fftshift(f) magnitude_spectrum = 20*np.log(np.abs(fshift)) magnitude_spectrum = np.asarray(magnitude_spectrum, dtype=np.uint8) img_and_magnitude = np.concatenate((img, magnitude_spectrum), axis=1) cv2.imshow(image_title, img_and_magnitude) cv2.waitKey(0) cv2.destroyAllWindows()   Files:…

Object tracking using Homography – OpenCV 3.4 with python 3 Tutorial 34

  Source code: import cv2 import numpy as np img = cv2.imread("ultimo_sopravvissuto.jpg", cv2.IMREAD_GRAYSCALE) # queryiamge cap = cv2.VideoCapture(0) # Features sift = cv2.xfeatures2d.SIFT_create() kp_image, desc_image = sift.detectAndCompute(img, None) # Feature matching index_params = dict(algorithm=0, trees=5) search_params = dict() flann = cv2.FlannBasedMatcher(index_params, search_params) while True: _,…

Copyright © Pysource 2017-2019, VAT: PL9721276174, Poznan (Poland) - Privacy Policy