def init_candidates(self, qaid2_qres):
self.qaid2_qres = qaid2_qres
from ibeis.gui import inspect_gui
self.cand_match_list = inspect_gui.get_automatch_candidates(
self.qaid2_qres, ranks_lt=self.ranks_lt, directed=False)
(qaids, aids, scores, ranks) = self.cand_match_list
self.qaids = qaids
self.aids = aids
self.nCands = len(self.qaids)
self.nPages = vt.iceil(self.nCands / self.nPerPage)
def init_candidates(self, qaid2_qres):
self.qaid2_qres = qaid2_qres
from ibeis.gui import inspect_gui
self.cand_match_list = inspect_gui.get_automatch_candidates(self.qaid2_qres,
ranks_lt=self.ranks_lt,
directed=False)
(qaids, aids, scores, ranks) = self.cand_match_list
self.qaids = qaids
self.aids = aids
self.nCands = len(self.qaids)
self.nPages = vt.iceil(self.nCands / self.nPerPage)
def __init__(
self,
gpath_list,
nPerPage=4,
bboxes_list=None,
thetas_list=None,
verts_list=None,
gid_list=None,
nImgs=None,
fnum=None,
context_option_funcs=None,
xlabel_list=None,
vizkw=None,
**kwargs,
):
# TODO: overlay function or draw function using a metadata object
print('Creating multi-image interaction')
# def __init__(self, img_list, nImgs=None, gid_list=None, aids_list=None,
# bboxes_list=None, nPerPage=10,fnum=None):
print('[pt] maX ', nPerPage)
self.context_option_funcs = context_option_funcs
if nImgs is None:
nImgs = len(gpath_list)
if bboxes_list is None:
bboxes_list = [[]] * nImgs
if thetas_list is None:
thetas_list = [[0] * len(bboxes) for bboxes in bboxes_list]
# How many images we are showing and per page
self.thetas_list = thetas_list
self.bboxes_list = bboxes_list
self.xlabel_list = xlabel_list
if gid_list is None:
self.gid_list = None
else:
self.gid_list = gid_list
self.vizkw = vizkw
self.nImgs = nImgs
self.nPerPage = min(nPerPage, nImgs)
self.current_index = 0
self.page_number = -1
# Initialize iterator over the image paths
self.gpath_list = gpath_list
# Display the first page
self.first_load = True
self.scope = []
self.current_pagenum = 0
self.nPages = vt.iceil(self.nImgs / nPerPage)
# self.show_page()
super(MultiImageInteraction, self).__init__(fnum=fnum, **kwargs)
def testdata_coverage(fname=None):
""" testing function """
import vtool as vt
# build test data
kpts, vecs = vt.dummy.get_testdata_kpts(fname, with_vecs=True)
# HACK IN DISTINCTIVENESS
if fname is not None:
from ibeis.algo.hots import distinctiveness_normalizer
cachedir = ut.get_app_resource_dir('ibeis', 'distinctiveness_model')
species = 'zebra_plains'
dstcnvs_normer = distinctiveness_normalizer.DistinctivnessNormalizer(species, cachedir=cachedir)
dstcnvs_normer.load(cachedir)
weights = dstcnvs_normer.get_distinctiveness(vecs)
else:
kpts = np.vstack((kpts, [0, 0, 1, 1, 1, 0]))
kpts = np.vstack((kpts, [0.01, 10, 1, 1, 1, 0]))
kpts = np.vstack((kpts, [0.94, 11.5, 1, 1, 1, 0]))
weights = np.ones(len(kpts))
chipsize = tuple(vt.iceil(vt.get_kpts_image_extent(kpts)).tolist())
return kpts, chipsize, weights
def __init__(self, gpath_list, nPerPage=4, bboxes_list=None,
thetas_list=None, verts_list=None, gid_list=None, nImgs=None,
fnum=None, context_option_funcs=None, xlabel_list=None,
vizkw=None, **kwargs):
# TODO: overlay function or draw function using a metadata object
print('Creating multi-image interaction')
#def __init__(self, img_list, nImgs=None, gid_list=None, aids_list=None,
#bboxes_list=None, nPerPage=10,fnum=None):
print('[pt] maX ', nPerPage)
self.context_option_funcs = context_option_funcs
if nImgs is None:
nImgs = len(gpath_list)
if bboxes_list is None:
bboxes_list = [[]] * nImgs
if thetas_list is None:
thetas_list = [[0] * len(bboxes) for bboxes in bboxes_list]
# How many images we are showing and per page
self.thetas_list = thetas_list
self.bboxes_list = bboxes_list
self.xlabel_list = xlabel_list
if gid_list is None:
self.gid_list = None
else:
self.gid_list = gid_list
self.vizkw = vizkw
self.nImgs = nImgs
self.nPerPage = min(nPerPage, nImgs)
self.current_index = 0
self.page_number = -1
# Initialize iterator over the image paths
self.gpath_list = gpath_list
# Display the first page
self.first_load = True
self.scope = []
self.current_pagenum = 0
self.nPages = vt.iceil(self.nImgs / nPerPage)
#self.show_page()
super(MultiImageInteraction, self).__init__(fnum=fnum, **kwargs)
def testdata_coverage(fname=None):
""" testing function """
import vtool as vt
# build test data
kpts, vecs = vt.dummy.get_testdata_kpts(fname, with_vecs=True)
# HACK IN DISTINCTIVENESS
if fname is not None:
from ibeis.algo.hots import distinctiveness_normalizer
cachedir = ut.get_app_resource_dir('ibeis', 'distinctiveness_model')
species = 'zebra_plains'
dstcnvs_normer = distinctiveness_normalizer.DistinctivnessNormalizer(
species, cachedir=cachedir)
dstcnvs_normer.load(cachedir)
weights = dstcnvs_normer.get_distinctiveness(vecs)
else:
kpts = np.vstack((kpts, [0, 0, 1, 1, 1, 0]))
kpts = np.vstack((kpts, [0.01, 10, 1, 1, 1, 0]))
kpts = np.vstack((kpts, [0.94, 11.5, 1, 1, 1, 0]))
weights = np.ones(len(kpts))
chipsize = tuple(vt.iceil(vt.get_kpts_image_extent(kpts)).tolist())
return kpts, chipsize, weights
