52b19deff740e3667338a008e6b15dcd75287b90,DCSCN.py,SuperResolution,do_for_evaluate_with_output,#SuperResolution#Any#Any#Any#,562

Before Change

            util.save_image(output_directory + file_path, true_image)
            util.save_image(output_directory + filename + "_input" + extension, input_y_image)
            util.save_image(output_directory + filename + "_input_bicubic" + extension, input_bicubic_y_image)
            util.save_image(output_directory + filename + "_true_y" + extension, true_ycbcr_image[:, :, 0:1])
            util.save_image(output_directory + filename + "_result" + extension, output_y_image)
            util.save_image(output_directory + filename + "_result_c" + extension, output_color_image)
            util.save_image(output_directory + filename + "_loss" + extension, loss_image)

After Change

        util.make_dir(output_directory)

        true_image = util.set_image_alignment(util.load_image(file_path, print_console=False), self.scale)
        input_image = util.resize_image_by_pil(true_image, 1.0/ self.scale, resampling_method=self.resampling_method)
        input_bicubic_image = util.resize_image_by_pil(input_image, self.scale, resampling_method=self.resampling_method)
        util.save_image(output_directory + filename + "_input_bicubic" + extension, input_bicubic_image)

        if true_image.shape[2] == 3 and self.channels == 1:

            // for color images

Instances