def test_basic(self):
img1 = np.zeros((128, 128), dtype=np.uint8)
img2 = np.zeros((128, 128), dtype=np.uint8)
rand = lambda x: (np.random.random(x) * x).astype(np.uint8)
img1[rand(128), rand(128)] = 255
img2[rand(128), rand(128)] = 255
tc = klt.TrackingContext()
fl = klt.FeatureList(100)
klt.select_good_features(tc, img1, fl)
klt.track_features(tc, img1, img2, fl)
fl.to_image(img2)
assert_equal(len(fl), 100)
fa = fl.as_array()
values = fa['val']
assert 0 <= len(values[values != -1]) <= 100
def test_basic(self):
img1 = np.zeros((128, 128), dtype=np.uint8)
img2 = np.zeros((128, 128), dtype=np.uint8)
rand = lambda x: (np.random.random(x) * x).astype(np.uint8)
img1[rand(128), rand(128)] = 255
img2[rand(128), rand(128)] = 255
tc = klt.TrackingContext()
fl = klt.FeatureList(100)
klt.select_good_features(tc, img1, fl)
klt.track_features(tc, img1, img2, fl)
fl.to_image(img2)
assert_equal(len(fl), 100)
fa = fl.as_array()
values = fa['val']
assert 0 <= len(values[values != -1]) <= 100
import numpy as N
from os.path import dirname
from supreme.lib import klt
import scipy as S
imread = S.misc.pilutil.imread
imsave = S.misc.pilutil.imsave
img1 = imread(dirname(__file__) + '/img0.pgm')
img2 = imread(dirname(__file__) + '/img1.pgm')
tc = klt.TrackingContext()
print tc
fl = klt.FeatureList(100)
klt.select_good_features(tc, img1, fl)
print '\nIn first image:'
print fl
imsave('feat1.ppm', fl.to_image(img1))
klt.track_features(tc, img1, img2, fl)
print '\nIn second image:\n'
print fl
imsave('feat2.ppm', fl.to_image(img2))
import numpy as N
from os.path import dirname
from supreme.lib import klt
import scipy as S
imread = S.misc.pilutil.imread
imsave = S.misc.pilutil.imsave
img1 = imread(dirname(__file__) + '/img0.pgm')
img2 = imread(dirname(__file__) + '/img1.pgm')
tc = klt.TrackingContext()
print tc
fl = klt.FeatureList(100)
klt.select_good_features(tc, img1, fl)
print '\nIn first image:'
print fl
imsave('feat1.ppm',fl.to_image(img1))
klt.track_features(tc, img1, img2, fl)
print '\nIn second image:\n'
print fl
imsave('feat2.ppm',fl.to_image(img2))
