def _testDrawBoundingBoxColorCycling(self, img):
"""Tests if cycling works appropriately.
Args:
img: 3-D numpy image on which to draw.
"""
# THIS TABLE MUST MATCH draw_bounding_box_op.cc
color_table = np.asarray([[1, 1, 0, 1], [0, 0, 1, 1], [1, 0, 0, 1],
[0, 1, 0, 1], [0.5, 0, 0.5, 1],
[0.5, 0.5, 0, 1], [0.5, 0, 0, 1],
[0, 0, 0.5, 1], [0, 1, 1, 1], [1, 0, 1, 1]])
assert len(img.shape) == 3
depth = img.shape[2]
assert depth <= color_table.shape[1]
assert depth == 1 or depth == 3 or depth == 4
## Set red channel to 1 if image is GRY.
if depth == 1:
color_table[:, 0] = 1
num_colors = color_table.shape[0]
for num_boxes in range(1, num_colors + 2):
# Generate draw_bounding_box_op drawn image
image = np.copy(img)
color = color_table[(num_boxes - 1) % num_colors, 0:depth]
test_drawn_image = self._fillBorder(image, color)
bboxes = np.asarray([0, 0, 1, 1])
bboxes = np.vstack([bboxes for _ in range(num_boxes)])
bboxes = math_ops.cast(bboxes, dtypes.float32)
bboxes = array_ops.expand_dims(bboxes, 0)
image = ops.convert_to_tensor(image)
image = image_ops_impl.convert_image_dtype(image, dtypes.float32)
image = array_ops.expand_dims(image, 0)
image = image_ops.draw_bounding_boxes(image, bboxes)
with self.cached_session(use_gpu=False) as sess:
op_drawn_image = np.squeeze(self.evaluate(image), 0)
self.assertAllEqual(test_drawn_image, op_drawn_image)
def _testDrawBoundingBoxColorCycling(self, img):
"""Tests if cycling works appropriately.
Args:
img: 3-D numpy image on which to draw.
"""
# THIS TABLE MUST MATCH draw_bounding_box_op.cc
color_table = np.asarray([[1, 1, 0, 1], [0, 0, 1, 1], [1, 0, 0, 1],
[0, 1, 0, 1], [0.5, 0, 0.5, 1], [0.5, 0.5, 0, 1],
[0.5, 0, 0, 1], [0, 0, 0.5, 1], [0, 1, 1, 1],
[1, 0, 1, 1]])
assert len(img.shape) == 3
depth = img.shape[2]
assert depth <= color_table.shape[1]
assert depth == 1 or depth == 3 or depth == 4
## Set red channel to 1 if image is GRY.
if depth == 1:
color_table[:, 0] = 1
num_colors = color_table.shape[0]
for num_boxes in range(1, num_colors + 2):
# Generate draw_bounding_box_op drawn image
image = np.copy(img)
color = color_table[(num_boxes - 1) % num_colors, 0:depth]
test_drawn_image = self._fillBorder(image, color)
bboxes = np.asarray([0, 0, 1, 1])
bboxes = np.vstack([bboxes for _ in range(num_boxes)])
bboxes = math_ops.to_float(bboxes)
bboxes = array_ops.expand_dims(bboxes, 0)
image = ops.convert_to_tensor(image)
image = image_ops_impl.convert_image_dtype(image, dtypes.float32)
image = array_ops.expand_dims(image, 0)
image = image_ops.draw_bounding_boxes(image, bboxes)
with self.test_session(use_gpu=False) as sess:
op_drawn_image = np.squeeze(sess.run(image), 0)
self.assertAllEqual(test_drawn_image, op_drawn_image)