def testGlimpseNonNormalizedNonCentered(self):
img = constant_op.constant(np.arange(25).reshape((1, 5, 5, 1)),
dtype=dtypes.float32)
with self.test_session():
result1 = image_ops.extract_glimpse_v2(img, [3, 3], [[0, 0]],
centered=False,
normalized=False)
result2 = image_ops.extract_glimpse_v2(img, [3, 3], [[1, 0]],
centered=False,
normalized=False)
self.assertAllEqual(
np.asarray([[0, 1, 2], [5, 6, 7], [10, 11, 12]]),
self.evaluate(result1)[0, :, :, 0])
self.assertAllEqual(
np.asarray([[5, 6, 7], [10, 11, 12], [15, 16, 17]]),
self.evaluate(result2)[0, :, :, 0])
def testGlimpseNegativeInput(self):
img = np.arange(9).reshape([1, 3, 3, 1])
with self.test_session():
with self.assertRaises((errors.InvalidArgumentError, ValueError)):
result = image_ops.extract_glimpse_v2(img,
size=[1023, -63],
offsets=[1023, 63],
centered=False,
normalized=False)
self.evaluate(result)
def testGlimpseNoiseZero(self):
# Image:
# [ 0. 1. 2. 3. 4.]
# [ 5. 6. 7. 8. 9.]
# [ 10. 11. 12. 13. 14.]
# [ 15. 16. 17. 18. 19.]
# [ 20. 21. 22. 23. 24.]
img = constant_op.constant(np.arange(25).reshape((1, 5, 5, 1)),
dtype=dtypes.float32)
with self.test_session():
# Result 1:
# [ 0. 0. 0.]
# [ 0. 0. 0.]
# [ 0. 0. 0.]
result1 = image_ops.extract_glimpse_v2(img, [3, 3], [[-2, 2]],
centered=False,
normalized=False,
noise='zero')
self.assertAllEqual(np.asarray([[0, 0, 0], [0, 0, 0], [0, 0, 0]]),
self.evaluate(result1)[0, :, :, 0])
# Result 2:
# [ 0. 0. 0. 0. 0. 0. 0.]
# [ 0. 0. 1. 2. 3. 4. 0.]
# [ 0. 5. 6. 7. 8. 9. 0.]
# [ 0. 10. 11. 12. 13. 14. 0.]
# [ 0. 15. 16. 17. 18. 19. 0.]
# [ 0. 20. 21. 22. 23. 24. 0.]
# [ 0. 0. 0. 0. 0. 0. 0.]]
result2 = image_ops.extract_glimpse_v2(img, [7, 7], [[0, 0]],
normalized=False,
noise='zero')
self.assertAllEqual(
np.asarray([[0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 2, 3, 4, 0],
[0, 5, 6, 7, 8, 9, 0], [0, 10, 11, 12, 13, 14, 0],
[0, 15, 16, 17, 18, 19, 0],
[0, 20, 21, 22, 23, 24, 0], [0, 0, 0, 0, 0, 0,
0]]),
self.evaluate(result2)[0, :, :, 0])
def testGlimpseNoiseZero(self):
# Image:
# [ 0. 1. 2. 3. 4.]
# [ 5. 6. 7. 8. 9.]
# [ 10. 11. 12. 13. 14.]
# [ 15. 16. 17. 18. 19.]
# [ 20. 21. 22. 23. 24.]
img = constant_op.constant(
np.arange(25).reshape((1, 5, 5, 1)), dtype=dtypes.float32)
with self.test_session():
# Result 1:
# [ 0. 0. 0.]
# [ 0. 0. 0.]
# [ 0. 0. 0.]
result1 = image_ops.extract_glimpse_v2(
img, [3, 3], [[-2, 2]],
centered=False,
normalized=False,
noise='zero')
self.assertAllEqual(
np.asarray([[0, 0, 0], [0, 0, 0], [0, 0, 0]]),
self.evaluate(result1)[0, :, :, 0])
# Result 2:
# [ 0. 0. 0. 0. 0. 0. 0.]
# [ 0. 0. 1. 2. 3. 4. 0.]
# [ 0. 5. 6. 7. 8. 9. 0.]
# [ 0. 10. 11. 12. 13. 14. 0.]
# [ 0. 15. 16. 17. 18. 19. 0.]
# [ 0. 20. 21. 22. 23. 24. 0.]
# [ 0. 0. 0. 0. 0. 0. 0.]]
result2 = image_ops.extract_glimpse_v2(
img, [7, 7], [[0, 0]], normalized=False, noise='zero')
self.assertAllEqual(
np.asarray([[0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 2, 3, 4, 0],
[0, 5, 6, 7, 8, 9, 0], [0, 10, 11, 12, 13, 14, 0],
[0, 15, 16, 17, 18, 19, 0], [0, 20, 21, 22, 23, 24, 0],
[0, 0, 0, 0, 0, 0, 0]]),
self.evaluate(result2)[0, :, :, 0])
