beverley-gorry/colmap-vslamlab
0
1# Copyright (c), ETH Zurich and UNC Chapel Hill.2# All rights reserved.3#4# Redistribution and use in source and binary forms, with or without5# modification, are permitted provided that the following conditions are met:6#7# * Redistributions of source code must retain the above copyright8# notice, this list of conditions and the following disclaimer.9#10# * Redistributions in binary form must reproduce the above copyright11# notice, this list of conditions and the following disclaimer in the12# documentation and/or other materials provided with the distribution.13#14# * Neither the name of ETH Zurich and UNC Chapel Hill nor the names of15# its contributors may be used to endorse or promote products derived16# from this software without specific prior written permission.17#18# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"19# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE20# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE21# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE22# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR23# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF24# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS25# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN26# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)27# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE28# POSSIBILITY OF SUCH DAMAGE.29 30 31import numpy as np32from read_write_dense import read_array, write_array33 34 35def main():36 import sys37 38 if len(sys.argv) != 3:39 print(40 "Usage: python test_read_write_dense.py "41 "path/to/dense/input.bin path/to/dense/output.bin"42 )43 return44 45 print(46 "Checking consistency of reading and writing dense arrays "47 + "(depth maps / normal maps) ..."48 )49 50 path_to_dense_input = sys.argv[1]51 path_to_dense_output = sys.argv[2]52 53 dense_input = read_array(path_to_dense_input)54 print("Input shape: " + str(dense_input.shape))55 56 write_array(dense_input, path_to_dense_output)57 dense_output = read_array(path_to_dense_output)58 59 np.testing.assert_array_equal(dense_input, dense_output)60 61 print("... dense arrays are equal.")62 63 64if __name__ == "__main__":65 main()66 