######################################################################### # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of NVIDIA CORPORATION nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY # EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR # PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR # PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY # OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ######################################################################### # FLIP: A Difference Evaluator for Alternating Images # High Performance Graphics, 2020. # by Pontus Andersson, Jim Nilsson, Tomas Akenine-Moller, Magnus Oskarsson, Kalle Astrom, and Mark D. Fairchild # # Pointer to our paper: https://research.nvidia.com/publication/2020-07_FLIP # code by Pontus Andersson, Jim Nilsson, and Tomas Akenine-Moller import numpy as np from flip import compute_flip from utils import * if __name__ == '__main__': # Set viewing conditions monitor_distance = 0.7 monitor_width = 0.7 monitor_resolution_x = 3840 # Compute number of pixels per degree of visual angle pixels_per_degree = monitor_distance * (monitor_resolution_x / monitor_width) * (np.pi / 180) # Load sRGB images reference = load_image_array('../images/reference.png') test = load_image_array('../images/test.png') # Compute FLIP map deltaE = compute_flip(reference, test, pixels_per_degree) # Save error map index_map = np.floor(255.0 * deltaE.squeeze(0)) use_color_map = True if use_color_map: result = CHWtoHWC(index2color(index_map, get_magma_map())) else: result = index_map / 255.0 save_image("../images/flip.png", result) print("Done")