Esempio n. 1
0
import cv2
import numpy as np
import homography

if __name__ == '__main__':
    img = cv2.imread('test/image_01.jpeg')
    #img = cv2.imread('/Users/tal/Dropbox/School/Y4S1/CSC420/Assignment3/data/11.jpg')
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    
    img2 = cv2.imread('DVDcovers/shrek2.jpg')
    #img2 = cv2.imread('/Users/tal/Dropbox/School/Y4S1/CSC420/Assignment3/data/toy.jpg')
    gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
    sift = cv2.xfeatures2d.SIFT_create()
    kp2, tdesc = sift.detectAndCompute(gray, None)
    kp1, rdesc = sift.detectAndCompute(gray2, None)
    print rdesc.shape
    print len(kp1)
    print len(kp2)
    rfeat = np.array([k.pt for k in kp1])
    tfeat = np.array([k.pt for k in kp2])
    inliers, hom = homography.estimate_homography(rdesc, rfeat, tdesc, tfeat, num_iters=1000)
    rmat, tmat = homography.do_matching(rdesc, tdesc)
    print rmat.shape

    print inliers
    print hom

    homography.visualize_transformation(img, hom, img2.shape[0], img2.shape[1], 'tes_visualization.jpeg')
Esempio n. 2
0
    cProfile.run('vt.get_most_similar(tdesc)')
    most_similar = vt.get_most_similar(tdesc)
    best_im_name = ""
    best_im = None
    most_in = 0
    best_rdesc = None
    best_rfeat = None
    best_hom = None
    print most_similar
    for train in most_similar:
        train_image = cv2.imread(train_dir + os.sep + train)
        gray = cv2.cvtColor(train_image, cv2.COLOR_BGR2GRAY)
        kp, rdesc = sift.detectAndCompute(gray, None)
        rfeat = np.array([k.pt for k in kp])
        # cProfile.run('estimate_homography(rdesc, rfeat, tdesc, tfeat)')
        inl, hom = estimate_homography(rdesc, rfeat, tdesc, tfeat)
        print inl
        if inl > most_in:
            most_in = inl
            best_hom = hom
            best_im_name = train
            best_rdesc = rdesc
            best_rfeat = rfeat
            best_im = train_image

    print best_im_name
    im = visualize_transformation(test_image, best_hom, best_im.shape[0], best_im.shape[1])
    im = cv2.putText(im, best_im_name, (5,100), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 0, 0))
    cv2.imwrite('full_vis.jpg', im)

    # first_image = cv2.imread('DVDcovers/' + images[0])