Ejemplo n.º 1
0
                                  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()
Ejemplo n.º 2
0
        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()
Ejemplo n.º 3
0
    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())
Ejemplo n.º 4
0
    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())