def generate_detections(ibs, gid_list, species, **detectkw):
""" detectkw can be: save_detection_images, save_scales, draw_supressed,
detection_width, detection_height, percentage_left, percentage_top,
nms_margin_percentage
Yeilds tuples of image ids and bounding boxes
"""
#
# Resize to a standard image size prior to detection
src_gpath_list = list(imap(str, ibs.get_image_detectpaths(gid_list)))
utool.close_pool()
# Get sizes of the original and resized images for final scale correction
neww_list = [gtool.open_image_size(gpath)[0] for gpath in src_gpath_list]
oldw_list = [oldw for (oldw, oldh) in ibs.get_image_sizes(gid_list)]
scale_list = [oldw / neww for oldw, neww in izip(oldw_list, neww_list)]
# Detect on scaled images
ibs.cfg.other_cfg.ensure_attr('detect_use_chunks', True)
use_chunks = ibs.cfg.other_cfg.detect_use_chunks
generator = detect_species_bboxes(src_gpath_list, species,
use_chunks=use_chunks, **detectkw)
for gid, scale, (bboxes, confidences, img_conf) in izip(gid_list, scale_list, generator):
# Unscale results
unscaled_bboxes = [_scale_bbox(bbox_, scale) for bbox_ in bboxes]
for index in xrange(len(unscaled_bboxes)):
bbox = unscaled_bboxes[index]
confidence = float(confidences[index])
yield gid, bbox, confidence, img_conf
def testdata_matcher(fname1='easy1.png', fname2='easy2.png'):
""""
fname1 = 'easy1.png'
fname2 = 'hard3.png'
python -m vtool.test_constrained_matching --test-visualize_matches --show
Args:
fname1 (str): (default = 'easy1.png')
fname2 (str): (default = 'easy2.png')
Returns:
?: testtup
CommandLine:
python -m vtool.test_constrained_matching --test-testdata_matcher
Example:
>>> # DISABLE_DOCTEST
>>> from vtool.test_constrained_matching import * # NOQA
>>> fname1 = 'easy1.png'
>>> fname2 = 'easy2.png'
>>> testtup = testdata_matcher(fname1, fname2)
>>> result = ('testtup = %s' % (str(testtup),))
>>> print(result)
"""
import utool as ut
#import vtool as vt
from vtool import image as gtool
from vtool import features as feattool
fpath1 = ut.grab_test_imgpath(fname1)
fpath2 = ut.grab_test_imgpath(fname2)
featkw = dict(rotation_invariance=True)
kpts1, vecs1 = feattool.extract_features(fpath1, **featkw)
kpts2, vecs2 = feattool.extract_features(fpath2, **featkw)
#if featkw['rotation_invariance']:
# print('ori stats 1 ' + ut.get_stats_str(vt.get_oris(kpts2)))
# print('ori stats 2 ' + ut.get_stats_str(vt.get_oris(kpts1)))
rchip1 = gtool.imread(fpath1)
rchip2 = gtool.imread(fpath2)
#chip1_shape = vt.gtool.open_image_size(fpath1)
chip2_shape = gtool.open_image_size(fpath2)
dlen_sqrd2 = chip2_shape[0] ** 2 + chip2_shape[1]
testtup = (rchip1, rchip2, kpts1, vecs1, kpts2, vecs2, dlen_sqrd2)
return testtup
def testdata_matcher(fname1='easy1.png', fname2='easy2.png'):
""""
fname1 = 'easy1.png'
fname2 = 'hard3.png'
python -m vtool.test_constrained_matching --test-visualize_matches --show
Args:
fname1 (str): (default = 'easy1.png')
fname2 (str): (default = 'easy2.png')
Returns:
?: testtup
CommandLine:
python -m vtool.test_constrained_matching --test-testdata_matcher
Example:
>>> # DISABLE_DOCTEST
>>> from vtool.test_constrained_matching import * # NOQA
>>> fname1 = 'easy1.png'
>>> fname2 = 'easy2.png'
>>> testtup = testdata_matcher(fname1, fname2)
>>> result = ('testtup = %s' % (str(testtup),))
>>> print(result)
"""
import utool as ut
#import vtool as vt
from vtool import image as gtool
from vtool import features as feattool
fpath1 = ut.grab_test_imgpath(fname1)
fpath2 = ut.grab_test_imgpath(fname2)
featkw = dict(rotation_invariance=True)
kpts1, vecs1 = feattool.extract_features(fpath1, **featkw)
kpts2, vecs2 = feattool.extract_features(fpath2, **featkw)
#if featkw['rotation_invariance']:
# print('ori stats 1 ' + ut.get_stats_str(vt.get_oris(kpts2)))
# print('ori stats 2 ' + ut.get_stats_str(vt.get_oris(kpts1)))
rchip1 = gtool.imread(fpath1)
rchip2 = gtool.imread(fpath2)
#chip1_shape = vt.gtool.open_image_size(fpath1)
chip2_shape = gtool.open_image_size(fpath2)
dlen_sqrd2 = chip2_shape[0]**2 + chip2_shape[1]
testtup = (rchip1, rchip2, kpts1, vecs1, kpts2, vecs2, dlen_sqrd2)
return testtup
def testdata_matcher(fname1='easy1.png', fname2='easy2.png'):
""""
fname1 = 'easy1.png'
fname2 = 'hard3.png'
annot1 = Annot(fpath1)
annot2 = Annot(fpath2)
"""
import utool as ut
from vtool import image as gtool
from vtool import features as feattool
fpath1 = ut.grab_test_imgpath(fname1)
fpath2 = ut.grab_test_imgpath(fname2)
kpts1, vecs1 = feattool.extract_features(fpath1)
kpts2, vecs2 = feattool.extract_features(fpath2)
rchip1 = gtool.imread(fpath1)
rchip2 = gtool.imread(fpath2)
#chip1_shape = vt.gtool.open_image_size(fpath1)
chip2_shape = gtool.open_image_size(fpath2)
dlen_sqrd2 = chip2_shape[0]**2 + chip2_shape[1]**2
testtup = (rchip1, rchip2, kpts1, vecs1, kpts2, vecs2, dlen_sqrd2)
return testtup
def testdata_matcher(fname1="easy1.png", fname2="easy2.png"):
""""
fname1 = 'easy1.png'
fname2 = 'hard3.png'
annot1 = Annot(fpath1)
annot2 = Annot(fpath2)
"""
import utool as ut
from vtool import image as gtool
from vtool import features as feattool
fpath1 = ut.grab_test_imgpath(fname1)
fpath2 = ut.grab_test_imgpath(fname2)
kpts1, vecs1 = feattool.extract_features(fpath1)
kpts2, vecs2 = feattool.extract_features(fpath2)
rchip1 = gtool.imread(fpath1)
rchip2 = gtool.imread(fpath2)
# chip1_shape = vt.gtool.open_image_size(fpath1)
chip2_shape = gtool.open_image_size(fpath2)
dlen_sqrd2 = chip2_shape[0] ** 2 + chip2_shape[1] ** 2
testtup = (rchip1, rchip2, kpts1, vecs1, kpts2, vecs2, dlen_sqrd2)
return testtup