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src/p/c/PCV-HEAD/examples/ch2_match_features.py   PCV(Download)
 
# process and save features to file
sift.process_image(imname1, imname1+'.sift')
sift.process_image(imname2, imname2+'.sift')
 

src/p/c/PCV-HEAD/examples/ch4_ar_cube.py   PCV(Download)
 
# compute features
sift.process_image('../data/book_frontal.JPG','im0.sift')
l0,d0 = sift.read_features_from_file('im0.sift')
 
sift.process_image('../data/book_perspective.JPG','im1.sift')

src/p/c/PCV-HEAD/examples/ch3_panorama.py   PCV(Download)
d = {}
for i in range(5): 
    sift.process_image(imname[i],featname[i])
    l[i],d[i] = sift.read_features_from_file(featname[i])
 

src/p/c/PCV-HEAD/examples/ch2_matching_graph.py   PCV(Download)
featlist = [imname[:-3]+'sift' for imname in imlist]
for i,imname in enumerate(imlist):
    sift.process_image(imname, featlist[i])
 
matchscores = zeros((nbr_images,nbr_images))