# # Copyright (C) 2023, Inria # GRAPHDECO research group, https://team.inria.fr/graphdeco # All rights reserved. # # This software is free for non-commercial, research and evaluation use # under the terms of the LICENSE.md file. # # For inquiries contact george.drettakis@inria.fr # import os from argparse import ArgumentParser mipnerf360_outdoor_scenes = ["bicycle", "flowers", "garden", "stump", "treehill"] mipnerf360_indoor_scenes = ["room", "counter", "kitchen", "bonsai"] tanks_and_temples_scenes = ["truck", "train"] deep_blending_scenes = ["drjohnson", "playroom"] parser = ArgumentParser(description="Full evaluation script parameters") parser.add_argument("--skip_training", action="store_true") parser.add_argument("--skip_rendering", action="store_true") parser.add_argument("--skip_metrics", action="store_true") parser.add_argument("--output_path", default="./eval") args, _ = parser.parse_known_args() all_scenes = [] all_scenes.extend(mipnerf360_outdoor_scenes) all_scenes.extend(mipnerf360_indoor_scenes) all_scenes.extend(tanks_and_temples_scenes) all_scenes.extend(deep_blending_scenes) if not args.skip_training or not args.skip_rendering: parser.add_argument('--mipnerf360', "-m360", required=True, type=str) parser.add_argument("--tanksandtemples", "-tat", required=True, type=str) parser.add_argument("--deepblending", "-db", required=True, type=str) args = parser.parse_args() if not args.skip_training: common_args = " --eval " # for scene in mipnerf360_outdoor_scenes: # source = args.mipnerf360 + "/" + scene # os.system("python train.py -s " + source + " -i images_4 -m " + args.output_path + "/" + scene + common_args) # for scene in mipnerf360_indoor_scenes: # source = args.mipnerf360 + "/" + scene # os.system("python train.py -s " + source + " -i images_2 -m " + args.output_path + "/" + scene + common_args) for scene in tanks_and_temples_scenes: source = args.tanksandtemples + "/" + scene os.system("python train.py -s " + source + " -m " + args.output_path + "/" + scene + common_args) for scene in deep_blending_scenes: source = args.deepblending + "/" + scene os.system("python train.py -s " + source + " -m " + args.output_path + "/" + scene + common_args) if not args.skip_rendering: all_sources = [] for scene in mipnerf360_outdoor_scenes: all_sources.append(args.mipnerf360 + "/" + scene) for scene in mipnerf360_indoor_scenes: all_sources.append(args.mipnerf360 + "/" + scene) for scene in tanks_and_temples_scenes: all_sources.append(args.tanksandtemples + "/" + scene) for scene in deep_blending_scenes: all_sources.append(args.deepblending + "/" + scene) common_args = " --quiet --eval --skip_train" for scene, source in zip(all_scenes, all_sources): os.system("python render.py --iteration 7000 -s " + source + " -m " + args.output_path + "/" + scene + common_args) os.system("python render.py --iteration 30000 -s " + source + " -m " + args.output_path + "/" + scene + common_args) if not args.skip_metrics: scenes_string = "" for scene in all_scenes: scenes_string += "\"" + args.output_path + "/" + scene + "\" " os.system("python metrics.py -m " + scenes_string)