def testInit(self):
# Creates two image generator objects without shuffling.
# Calling next on either one should result in the same output
from generator import ImageGenerator
gen = ImageGenerator(self.file_path, self.label_path, 12, [32, 32, 3], rotation=False, mirroring=False, shuffle=False)
gen2 = ImageGenerator(self.file_path, self.label_path, 12, [32, 32, 3], rotation=False, mirroring=False, shuffle=False)
np.testing.assert_almost_equal(gen.next()[0], gen2.next()[0])
np.testing.assert_almost_equal(gen.next()[1], gen2.next()[1])
def testInit(self):
from generator import ImageGenerator
gen = ImageGenerator(self.file_path,
self.json_path,
12, [32, 32, 3],
rotation=False,
mirroring=False,
shuffle=False)
gen2 = ImageGenerator(self.file_path,
self.json_path,
12, [32, 32, 3],
rotation=False,
mirroring=False,
shuffle=False)
np.testing.assert_almost_equal(gen.next()[0], gen2.next()[0])
np.testing.assert_almost_equal(gen.next()[1], gen2.next()[1])
def testShuffle(self):
# Creates two image generator objects.
# Since shuffle is enabled for one image generator the output should be different.
from generator import ImageGenerator
gen = ImageGenerator(self.file_path, self.label_path, 10, [32, 32, 3], rotation=False, mirroring=False, shuffle=True)
gen2 = ImageGenerator(self.file_path, self.label_path, 10, [32, 32, 3], rotation=False, mirroring=False, shuffle=False)
np.testing.assert_raises(AssertionError, np.testing.assert_array_equal, gen.next()[0], gen2.next()[0])
np.testing.assert_raises(AssertionError, np.testing.assert_array_equal, gen.next()[1], gen2.next()[1])
def testResetIndex(self):
# Data contains 100 image samples, for a batchsize of 60 an
# overlap of 20 occurs, therefore the first 20 elements
# of the first batch should be equal to the last 20 of the second batch
from generator import ImageGenerator
gen = ImageGenerator(self.file_path, self.label_path, 60, [32, 32, 3], rotation=False, mirroring=False, shuffle=False)
b1 = gen.next()[0]
b2 = gen.next()[0]
np.testing.assert_almost_equal(b1[:20], b2[40:])
def testShuffle(self):
from generator import ImageGenerator
gen = ImageGenerator(self.file_path,
self.json_path,
10, [32, 32, 3],
rotation=False,
mirroring=False,
shuffle=True)
gen2 = ImageGenerator(self.file_path,
self.json_path,
10, [32, 32, 3],
rotation=False,
mirroring=False,
shuffle=False)
np.testing.assert_raises(AssertionError, np.testing.assert_array_equal,
gen.next()[0],
gen2.next()[0])
np.testing.assert_raises(AssertionError, np.testing.assert_array_equal,
gen.next()[1],
gen2.next()[1])
def testResetIndex(self):
from generator import ImageGenerator
# Data contains 100 image samples, create two overlapping batches
gen = ImageGenerator(self.file_path,
self.json_path,
60, [32, 32, 3],
rotation=False,
mirroring=False,
shuffle=False)
b1 = gen.next()[0]
b2 = gen.next()[0]
np.testing.assert_almost_equal(b1[:20], b2[40:])
