def __test_warp(Vtup, testname, fignum):
H_21 = Vtup[2]
with Timer(msg='Warped with H from ' + testname):
rchip2_W = warp_chip(rchip2, H_21, rchip1)
if __SHOW_WARP__:
title_str = testname + ' Result rchip2_W'
print(' * Showing: ' + str(title_str))
df2.imshow(rchip2_W, fignum=fignum + 1, title=title_str)
return rchip2_W
def __test_warp(Vtup, testname, fignum):
H_21 = Vtup[2]
with Timer(msg='Warped with H from '+testname):
rchip2_W = warp_chip(rchip2, H_21, rchip1)
if __SHOW_WARP__:
title_str = testname+' Result rchip2_W'
print(' * Showing: '+str(title_str))
df2.imshow(rchip2_W, fignum=fignum+1, title=title_str)
return rchip2_W
def show_all_detector_types(fignum=0, pyramid=True, grid=True, compare=False):
print('Detecting features of all types')
if compare:
show_all_detector_types(fignum=1.221, pyramid=False, grid=False)
show_all_detector_types(fignum=1.222, pyramid=False, grid=True)
show_all_detector_types(fignum=1.223, pyramid=True, grid=False)
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 show_all_detector_types(fignum=0, pyramid=True, grid=True, compare=False):
print('Detecting features of all types')
if compare:
show_all_detector_types(fignum=1.221, pyramid=False, grid=False)
show_all_detector_types(fignum=1.222, pyramid=False, grid=True)
show_all_detector_types(fignum=1.223, pyramid=True, grid=False)
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))
# INPUT CHIPS
cx = other_cx[__OTHER_X__]
desc1 = cx2_desc[qcx]
desc2 = cx2_desc[cx]
kpts1 = cx2_kpts[qcx]
kpts2 = cx2_kpts[cx]
rchip1 = cv2.imread(cx2_rchip_path[qcx])
rchip2 = cv2.imread(cx2_rchip_path[cx])
print('---------------------------------------')
print(' * Inspecting match to: cx = %d' % cx)
print('Drawing chips we are inspecting')
print(' * rchip1.shape = %r ' % (rchip1.shape, ))
print(' * rchip2.shape = %r ' % (rchip2.shape, ))
if __SHOW_PLAIN_CHIPS__:
df2.imshow(rchip1, fignum=9001, title='querychip qcx=%d' % qcx)
df2.imshow(rchip2, fignum=9002, title='reschip cx=%d' % cx)
if __SHOW_KPTS_CHIPS__:
df2.show_keypoints(rchip1,
kpts1,
fignum=902,
title='qcx=%d nkpts=%d' % (qcx, len(kpts1)))
df2.show_keypoints(rchip2,
kpts2,
fignum=903,
title='cx=%d nkpts=%d' % (cx, len(kpts1)))
# ASSIGNED MATCHES
print('---------------------------------------')
print(' INFO: Assigned feature matches ')
fm = cx2_fm[cx]
# INPUT CHIPS
cx = other_cx[__OTHER_X__]
desc1 = cx2_desc[qcx]
desc2 = cx2_desc[cx]
kpts1 = cx2_kpts[qcx]
kpts2 = cx2_kpts[cx]
rchip1 = cv2.imread(cx2_rchip_path[qcx])
rchip2 = cv2.imread(cx2_rchip_path[cx])
print('---------------------------------------')
print(' * Inspecting match to: cx = %d' % cx)
print('Drawing chips we are inspecting')
print(' * rchip1.shape = %r ' % (rchip1.shape,))
print(' * rchip2.shape = %r ' % (rchip2.shape,))
if __SHOW_PLAIN_CHIPS__:
df2.imshow(rchip1, fignum=9001, title='querychip qcx=%d' % qcx)
df2.imshow(rchip2, fignum=9002, title='reschip cx=%d' % cx)
if __SHOW_KPTS_CHIPS__:
df2.show_keypoints(rchip1, kpts1, fignum=902, title='qcx=%d nkpts=%d' % (qcx,len(kpts1)))
df2.show_keypoints(rchip2, kpts2, fignum=903, title='cx=%d nkpts=%d' % (cx,len(kpts1)))
# ASSIGNED MATCHES
print('---------------------------------------')
print(' INFO: Assigned feature matches ')
fm = cx2_fm[cx]
fs = cx2_fs[cx]
print(' * feature matches (assigned) fm.shape = %r' % (fm.shape,))
print(' * kpts1.shape %r' % (kpts1.shape,))
print(' * kpts2.shape %r' % (kpts2.shape,))
