def plot_kp(img, mode='string'):
img = ImageObject(img)
img = image_module.convert_to_pgm(img)
img = make_keypoints(img)
loc, desc = get_descriptors(img)
im = get_image_as_array(img)
sift.plot_features(im,loc)
image_module.remove_temp_files_img(img)
def get_kpm(img1,img2, mode='string' ,less=0, from_index=-1, to_index=-1):
# in string mode, img1, img2 parameters are only strings (path to image files) -> testing, presentation, prints out infos
# in only_match mode, these are ImageObject objects, no prints. 2 params are 2 [loc,desc] lists
if mode=='string':
print 'Preparing images...'
im1 = None
im2 = None
loc1, desc1 = None, None
loc2, desc2 = None, None
# only_match mod eseten a gyorsabb futas miatt csak a match-et nezem, a tobbi erteket elore kiszamolom a kepekre
if mode=='string':
img1 = image_module.convert_to_pgm(img1)
img2 = image_module.convert_to_pgm(img2)
img1 = make_keypoints(img1)
img2 = make_keypoints(img2)
loc1, desc1 = get_descriptors(img1)
loc2, desc2 = get_descriptors(img2)
im1 = get_image_as_array(img1)
im2 = get_image_as_array(img2)
elif mode=='only_match':
loc1 = img1[0]
desc1 = img1[1]
loc2 = img2[0]
desc2 = img2[1]
else:
print 'Not supported mode!'
exit(-1)
if mode=='string': print '\nSearching for matchings...'
matchscores = sift.match(desc1, desc2)
bool_indexing = False
# ezzel a 2 indexxel kivalasztom mettol meddig levo matched keypointokat akarom kirajzolni..atlathatosag
if from_index>to_index:
from_index = -1
to_index = -1
if from_index!=-1 and to_index!=-1:
bool_indexing = True
if bool_indexing:
if from_index<1: from_index = 1
if to_index>matchscores.size: to_index = matchscores.size
# because of the 4x4 storing method in lowe's paper
num_keypoints1 = loc1.size/4
num_keypoints2 = loc2.size/4
num_matches = nonzero(matchscores)[0].size
if mode=='string':
for counter, m in enumerate(matchscores.tolist()):
if bool_indexing and (not from_index-1<=counter<=to_index-1):
matchscores[counter] = np.float64(0.0)
else:
# ezzel a parameterrel minden 'less'-edik matchet rajzolja csak ki..atlathatosag miatt ugyancsak
if less != 0:
if counter % less != 0: matchscores[counter] = np.float64(0.0)
print "Number of matching keypoints:", num_matches
if mode=='string':
print "number of displayed matches:", nonzero(matchscores)[0].size
qom, MatchPercent = get_qom(num_keypoints1, num_keypoints2, num_matches)
print "Quality of match: ", qom, '\n'
return im1, im2, matchscores,qom,MatchPercent