def boundingRect(g_array):
def custom_boundingRect_meta(array_desc):
return cv.empty_gopaque_desc()
op = cv.gapi_wip_op('custom.boundingRect', custom_boundingRect_meta,
g_array)
return op.getGOpaque(cv.gapi.CV_RECT)
def split3(g_in):
def custom_split3_meta(img_desc):
out_desc = img_desc.withType(img_desc.depth, 1)
return out_desc, out_desc, out_desc
op = cv.gapi_wip_op('custom.split3', custom_split3_meta, g_in)
ch1 = op.getGMat()
ch2 = op.getGMat()
ch3 = op.getGMat()
return ch1, ch2, ch3
def goodFeaturesToTrack(g_in, max_corners, quality_lvl, min_distance, mask,
block_sz, use_harris_detector, k):
def custom_goodFeaturesToTrack_meta(img_desc, max_corners, quality_lvl,
min_distance, mask, block_sz,
use_harris_detector, k):
return cv.empty_array_desc()
op = cv.gapi_wip_op('custom.goodFeaturesToTrack',
custom_goodFeaturesToTrack_meta, g_in, max_corners,
quality_lvl, min_distance, mask, block_sz,
use_harris_detector, k)
return op.getGArray(cv.gapi.CV_POINT2F)
def add(g_in1, g_in2, dtype):
def custom_add_meta(img_desc1, img_desc2, dtype):
return img_desc1
return cv.gapi_wip_op('custom.add', custom_add_meta, g_in1, g_in2,
dtype).getGMat()
def sizeR(g_rect):
def custom_sizeR_meta(opaque_desc):
return cv.empty_gopaque_desc()
op = cv.gapi_wip_op('custom.sizeR', custom_sizeR_meta, g_rect)
return op.getGOpaque(cv.gapi.CV_SIZE)
def size(g_in):
def custom_size_meta(img_desc):
return cv.empty_gopaque_desc()
op = cv.gapi_wip_op('custom.size', custom_size_meta, g_in)
return op.getGOpaque(cv.gapi.CV_SIZE)
def addC(g_in, g_sc, dtype):
def custom_addC_meta(img_desc, sc_desc, dtype):
return img_desc
op = cv.gapi_wip_op('custom.addC', custom_addC_meta, g_in, g_sc, dtype)
return op.getGMat()
def mean(g_in):
def custom_mean_meta(img_desc):
return cv.empty_scalar_desc()
op = cv.gapi_wip_op('custom.mean', custom_mean_meta, g_in)
return op.getGScalar()