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62 lines
2.4 KiB
62 lines
2.4 KiB
# Copyright (c) 2022, ETH Zurich and UNC Chapel Hill.
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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#
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# * Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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#
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# * Neither the name of ETH Zurich and UNC Chapel Hill nor the names of
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# its contributors may be used to endorse or promote products derived
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# from this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE
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# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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# POSSIBILITY OF SUCH DAMAGE.
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#
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# Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)
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import numpy as np
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from read_write_dense import read_array, write_array
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def main():
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import sys
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if len(sys.argv) != 3:
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print("Usage: python test_read_write_dense.py "
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"path/to/dense/input.bin path/to/dense/output.bin")
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return
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print("Checking consistency of reading and writing dense arrays "
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+ "(depth maps / normal maps) ...")
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path_to_dense_input = sys.argv[1]
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path_to_dense_output = sys.argv[2]
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dense_input = read_array(path_to_dense_input)
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print("Input shape: " + str(dense_input.shape))
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write_array(dense_input, path_to_dense_output)
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dense_output = read_array(path_to_dense_output)
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np.testing.assert_array_equal(dense_input, dense_output)
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print("... dense arrays are equal.")
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if __name__ == "__main__":
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main()
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