detector_type,
pyramid=pyramid,
grid=grid)
_img = df2.cv2_draw_kpts(test_img, cvkpts)
df2.imshow(_img,
fignum=fignum + xx,
title='%s #kpts=%d ' % (detector_args, len(cvkpts)),
figtitle=detector_type)
except Exception as ex:
print(repr(ex))
def compute_all_desc_extrac_permutations():
print('Computing all descriptor / extractor permutations')
test_img = test_img1()
# Try all combinations of feature detectors / extractors
feat_type_perms = itertools.product(fc2.cv2_detector_types,
fc2.cv2_extractor_types)
for detector_type, extract_type in feat_type_perms:
print('Testing detector+extractor=%s+%s' %
(detector_type, extract_type))
kpts, desc = fc2.cv2_feats(test_img, extract_type, detector_type)
print(' * (descriptor --- extractor) array shape: %r --- %r ' %
(kpts.shape, desc.shape))
if __name__ == '__main__':
show_all_detector_types(fignum=0, compare=True)
#compute_all_desc_extrac_permutations()
df2.present()
show_all_detector_types(fignum=1.224, pyramid=True, grid=True)
return
test_img = test_img1()
for xx, detector_type in enumerate(fc2.cv2_detector_types):
detector_args = ['','+grid'][grid]+['','+pyramid'][pyramid]
print('Testing detector=%s' % (detector_type+detector_args))
try:
cvkpts = fc2.cv2_kpts(test_img, detector_type, pyramid=pyramid, grid=grid)
_img = df2.cv2_draw_kpts(test_img, cvkpts)
df2.imshow(_img,
fignum=fignum+xx,
title='%s #kpts=%d ' % (detector_args, len(cvkpts)),
figtitle=detector_type)
except Exception as ex:
print(repr(ex))
def compute_all_desc_extrac_permutations():
print('Computing all descriptor / extractor permutations')
test_img = test_img1()
# Try all combinations of feature detectors / extractors
feat_type_perms = itertools.product(fc2.cv2_detector_types, fc2.cv2_extractor_types)
for detector_type, extract_type in feat_type_perms:
print('Testing detector+extractor=%s+%s' % (detector_type, extract_type))
kpts, desc = fc2.cv2_feats(test_img, extract_type, detector_type)
print(' * (descriptor --- extractor) array shape: %r --- %r ' % (kpts.shape, desc.shape))
if __name__ == '__main__':
show_all_detector_types(fignum=0, compare=True)
#compute_all_desc_extrac_permutations()
df2.present()
df2.show_keypoints(rchip2, kpts2, fignum + 3, _title4)
# Run through the pipelines
print('vsmany')
res_vsmany = (rchip1, rchip2, kpts1, kpts2, fm, fs, fm_V, fs_V)
aug_vsmany = (100, 'vsmany')
arg_vsmany = res_vsmany + aug_vsmany
show_match_results(*arg_vsmany)
print('Warped using vsmany')
res_vsmany_W = fmatch_warp(rchip1, rchip2, H_vsmany)
aug_vsmany_W = (200, 'Warped using vsmany inliers')
arg_vsmany_W = res_vsmany_W + aug_vsmany_W
show_match_results(*arg_vsmany_W)
print('vsone')
res_vsone, H_vsone = fmatch_vsone(rchip1, rchip2, kpts1, kpts2, desc1, desc2)
aug_vsone = (300, 'vsone')
arg_vsone = res_vsone + aug_vsone
show_match_results(*arg_vsone)
print('Warped using vsone')
res_vsone_W = fmatch_warp(rchip1, rchip2, H_vsone)
aug_vsone_W = (400, 'Warped using vsone inliers')
arg_vsone_W = res_vsone_W + aug_vsone_W
show_match_results(*arg_vsone_W)
# FREAK
exec(df2.present())
df2.show_keypoints(rchip1, kpts1, fignum+2, _title3)
df2.show_keypoints(rchip2, kpts2, fignum+3, _title4)
# Run through the pipelines
print('vsmany')
res_vsmany = (rchip1, rchip2, kpts1, kpts2, fm, fs, fm_V, fs_V)
aug_vsmany = (100, 'vsmany')
arg_vsmany = res_vsmany + aug_vsmany
show_match_results(*arg_vsmany)
print('Warped using vsmany')
res_vsmany_W = fmatch_warp(rchip1, rchip2, H_vsmany)
aug_vsmany_W = (200, 'Warped using vsmany inliers')
arg_vsmany_W = res_vsmany_W + aug_vsmany_W
show_match_results(*arg_vsmany_W)
print('vsone')
res_vsone, H_vsone = fmatch_vsone(rchip1, rchip2, kpts1, kpts2, desc1, desc2)
aug_vsone = (300, 'vsone')
arg_vsone = res_vsone + aug_vsone
show_match_results(*arg_vsone)
print('Warped using vsone')
res_vsone_W = fmatch_warp(rchip1, rchip2, H_vsone)
aug_vsone_W = (400, 'Warped using vsone inliers')
arg_vsone_W = res_vsone_W + aug_vsone_W
show_match_results(*arg_vsone_W)
# FREAK
exec(df2.present())
