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utils_test.py
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# Copyright 2022 The KerasCV Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
try:
import tensorflow as tf
except ImportError:
raise ImportError(
"To use KerasCV, please install TensorFlow: `pip install tensorflow`. "
"The TensorFlow package is required for data preprocessing with any backend."
)
from absl.testing import parameterized
from keras_cv.src.keypoint.utils import filter_out_of_image
from keras_cv.src.tests.test_case import TestCase
class UtilsTestCase(TestCase):
@parameterized.named_parameters(
(
"all inside",
np.array([[10.0, 20.0], [30.0, 40.0], [50.0, 50.0]]),
np.ones([100, 100, 3]),
tf.ragged.constant([[10.0, 20.0], [30.0, 40.0], [50.0, 50.0]]),
),
(
"some inside",
np.array([[10.0, 20.0], [30.0, 40.0], [50.0, 50.0]]),
np.ones([50, 50, 3]),
tf.ragged.constant([[10.0, 20.0], [30.0, 40.0]]),
),
(
"ragged input",
tf.RaggedTensor.from_row_lengths(
[[10.0, 20.0], [30.0, 40.0], [50.0, 50.0]], [2, 1]
),
np.ones([50, 50, 3]),
tf.RaggedTensor.from_row_lengths(
[[10.0, 20.0], [30.0, 40.0]], [2, 0]
),
),
(
"height - width confusion",
np.array([[[10.0, 20.0]], [[40.0, 30.0]], [[30.0, 40.0]]]),
np.ones((50, 40, 3)),
tf.ragged.constant(
[[[10.0, 20.0]], [], [[30.0, 40.0]]], ragged_rank=1
),
),
)
def test_result(self, keypoints, image, expected):
self.assertAllClose(filter_out_of_image(keypoints, image), expected)