-
Notifications
You must be signed in to change notification settings - Fork 33
/
full_eval.py
75 lines (65 loc) · 3.26 KB
/
full_eval.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
#
# 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 [email protected]
#
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 = " --quiet --eval --test_iterations -1 "
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)