def get_current_visuals(self, size=128): out = [] out.append(utils.tensor_to_numpy(self.img_LR)) out.append(utils.tensor_to_numpy(self.img_SR)) out.append(utils.tensor_to_numpy(self.img_HR)) visual_imgs = [utils.batch_numpy_to_image(x, size) for x in out] return visual_imgs
def get_current_visuals(self, size=512): out = [] visual_imgs = [] out.append(utils.tensor_to_numpy(self.img_LR)) out.append(utils.tensor_to_numpy(self.img_SR)) out.append(utils.tensor_to_numpy(self.img_HR)) out_imgs = [utils.batch_numpy_to_image(x, size) for x in out] visual_imgs += out_imgs visual_imgs.append(utils.color_parse_map(self.ref_mask_onehot, size)) visual_imgs.append(utils.color_parse_map(self.hr_mask, size)) return visual_imgs
def get_current_visuals(self, size=512): out = [] visual_imgs = [] out.append(utils.tensor_to_numpy(self.img_LR)) out.append(utils.tensor_to_numpy(self.img_SR)) out.append(utils.tensor_to_numpy(self.img_HR)) out_imgs = [utils.batch_numpy_to_image(x, size) for x in out] visual_imgs.append(out_imgs[0]) visual_imgs.append(out_imgs[1]) visual_imgs.append(utils.color_parse_map(self.pred_Parse)) visual_imgs.append(utils.color_parse_map(self.gt_Parse.unsqueeze(1))) visual_imgs.append(out_imgs[2]) return visual_imgs