mirror of
https://github.com/graphdeco-inria/gaussian-splatting
synced 2024-11-25 13:26:47 +00:00
75 lines
3.3 KiB
Python
75 lines
3.3 KiB
Python
#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import os
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from argparse import ArgumentParser
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mipnerf360_outdoor_scenes = ["bicycle", "flowers", "garden", "stump", "treehill"]
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mipnerf360_indoor_scenes = ["room", "counter", "kitchen", "bonsai"]
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tanks_and_temples_scenes = ["truck", "train"]
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deep_blending_scenes = ["drjohnson", "playroom"]
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parser = ArgumentParser(description="Full evaluation script parameters")
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parser.add_argument("--skip_training", action="store_true")
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parser.add_argument("--skip_rendering", action="store_true")
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parser.add_argument("--skip_metrics", action="store_true")
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parser.add_argument("--output_path", default="./eval")
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args, _ = parser.parse_known_args()
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all_scenes = []
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all_scenes.extend(mipnerf360_outdoor_scenes)
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all_scenes.extend(mipnerf360_indoor_scenes)
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all_scenes.extend(tanks_and_temples_scenes)
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all_scenes.extend(deep_blending_scenes)
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if not args.skip_training or not args.skip_rendering:
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parser.add_argument('--mipnerf360', "-m360", required=True, type=str)
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parser.add_argument("--tanksandtemples", "-tat", required=True, type=str)
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parser.add_argument("--deepblending", "-db", required=True, type=str)
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args = parser.parse_args()
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if not args.skip_training:
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common_args = " --quiet --eval --test_iterations -1"
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for scene in mipnerf360_outdoor_scenes:
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source = args.mipnerf360 + "/" + scene
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os.system("python train.py -s " + source + " -i images_4 -m " + args.output_path + "/" + scene + common_args)
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for scene in mipnerf360_indoor_scenes:
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source = args.mipnerf360 + "/" + scene
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os.system("python train.py -s " + source + " -i images_2 -m " + args.output_path + "/" + scene + common_args)
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for scene in tanks_and_temples_scenes:
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source = args.tanksandtemples + "/" + scene
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os.system("python train.py -s " + source + " -m " + args.output_path + "/" + scene + common_args)
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for scene in deep_blending_scenes:
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source = args.deepblending + "/" + scene
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os.system("python train.py -s " + source + " -m " + args.output_path + "/" + scene + common_args)
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if not args.skip_rendering:
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all_sources = []
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for scene in mipnerf360_outdoor_scenes:
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all_sources.append(args.mipnerf360 + "/" + scene)
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for scene in mipnerf360_indoor_scenes:
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all_sources.append(args.mipnerf360 + "/" + scene)
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for scene in tanks_and_temples_scenes:
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all_sources.append(args.tanksandtemples + "/" + scene)
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for scene in deep_blending_scenes:
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all_sources.append(args.deepblending + "/" + scene)
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common_args = " --quiet --eval --skip_train"
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for scene, source in zip(all_scenes, all_sources):
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os.system("python render.py --iteration 7000 -s " + source + " -m " + args.output_path + "/" + scene + common_args)
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os.system("python render.py --iteration 30000 -s " + source + " -m " + args.output_path + "/" + scene + common_args)
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if not args.skip_metrics:
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scenes_string = ""
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for scene in all_scenes:
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scenes_string += "\"" + args.output_path + "/" + scene + "\" "
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os.system("python metrics.py -m " + scenes_string) |