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aspen/images_4/frame_00019.jpg
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auditorium/images_2/00048.jpg
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auditorium/images_2/00065.jpg
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bww_entrance/images/frame_00162.png
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bww_entrance/images_4/frame_00105.png
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caterpillar/nb-info.json
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{"id": "tanksandtemples", "scene": "caterpillar", "loader": "colmap", "evaluation_protocol": "default", "type": "object-centric", "downscale_factor": 2, "loader_kwargs": {"images_path": "images_2"}}
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caterpillar/test_list.txt
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caterpillar/train_list.txt
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|
europa/cvt.py
ADDED
|
@@ -0,0 +1,45 @@
|
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|
|
|
|
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|
|
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|
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|
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|
|
|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
import numpy as np
|
| 3 |
+
import os
|
| 4 |
+
import sys
|
| 5 |
+
import json
|
| 6 |
+
import shutil
|
| 7 |
+
|
| 8 |
+
# cameras = json.load(open('./kai_cameras_offsetnorm.json'))
|
| 9 |
+
# cameras = json.load(open('./kai_cameras.json'))
|
| 10 |
+
cameras = json.load(open('./kai_cameras_normalized.json'))
|
| 11 |
+
|
| 12 |
+
def convert_pose(C2W):
|
| 13 |
+
flip_yz = np.eye(4)
|
| 14 |
+
flip_yz[1, 1] = -1
|
| 15 |
+
flip_yz[2, 2] = -1
|
| 16 |
+
C2W = np.matmul(C2W, flip_yz)
|
| 17 |
+
return C2W
|
| 18 |
+
|
| 19 |
+
def w2c_to_c2w(w2c):
|
| 20 |
+
w2c = np.reshape(w2c, (4, 4))
|
| 21 |
+
c2w = np.linalg.inv(w2c)
|
| 22 |
+
#c2w = convert_pose(c2w)
|
| 23 |
+
return c2w.reshape(-1)
|
| 24 |
+
|
| 25 |
+
for base in ['train', 'test', 'validation']:
|
| 26 |
+
obj = dict()
|
| 27 |
+
os.makedirs(os.path.join(base, 'intrinsics'), exist_ok=True)
|
| 28 |
+
os.makedirs(os.path.join(base, 'pose'), exist_ok=True)
|
| 29 |
+
os.makedirs(os.path.join(base, 'mask'), exist_ok=True)
|
| 30 |
+
for c in cameras:
|
| 31 |
+
fn = '.'.join(c.split('.')[:-1])+'.txt'
|
| 32 |
+
if os.path.exists(os.path.join(base, 'rgb', c)):
|
| 33 |
+
print(base, fn)
|
| 34 |
+
with open(os.path.join(base, 'intrinsics', fn), 'w') as f:
|
| 35 |
+
print(*cameras[c]['K'], file=f)
|
| 36 |
+
with open(os.path.join(base, 'pose', fn), 'w') as f:
|
| 37 |
+
w2c = cameras[c]['W2C']
|
| 38 |
+
c2w = w2c_to_c2w(w2c)
|
| 39 |
+
print(*c2w, file=f)
|
| 40 |
+
maskfn = os.path.join('mask', '.'.join(c.split('.')[:-1])+'.png')
|
| 41 |
+
shutil.copyfile(maskfn, os.path.join(base, maskfn))
|
| 42 |
+
|
| 43 |
+
obj[c] = cameras[c]
|
| 44 |
+
with open(os.path.join(base, 'cam_dict_norm.json'), 'w') as f:
|
| 45 |
+
json.dump(obj, f)
|
europa/env_blender.py
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
import numpy as np
|
| 3 |
+
import glob
|
| 4 |
+
import os
|
| 5 |
+
|
| 6 |
+
dest = 'static_path1_blend/envmaps/'
|
| 7 |
+
|
| 8 |
+
os.makedirs(dest, exist_ok=True)
|
| 9 |
+
|
| 10 |
+
a = np.loadtxt('21-08_11_30_IMG_4022.txt')
|
| 11 |
+
b = np.loadtxt('15-08_14_30_IMG_8705.txt')
|
| 12 |
+
|
| 13 |
+
N = 50
|
| 14 |
+
for i in range(N):
|
| 15 |
+
blend = i/N
|
| 16 |
+
res = a*(1-blend)+b*(blend)
|
| 17 |
+
fn = f'{i:06d}.txt'
|
| 18 |
+
np.savetxt(os.path.join(dest, fn), res)
|
europa/kai_cameras.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
europa/kai_cameras_normalized.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
europa/static_path1_blend/cam_dict_norm.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"000000.png": {"K": [988.02130870888, 0.0, 640.0, 0.0, 0.0, 987.7002976872574, 423.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], "W2C": [0.8918670421717898, 0.16367773473377878, 0.42164295113301864, -0.19893130661584246, -0.16304624031720055, 0.9858926873440638, -0.037835599108850294, 0.011184379289213533, -0.42188754734664546, -0.03500297407247991, 0.9059722342323261, -0.6664177915675493, 0.0, 0.0, 0.0, 1.0], "img_size": [1280, 846]}, "000001.png": {"K": [988.02130870888, 0.0, 640.0, 0.0, 0.0, 987.7002976872574, 423.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], "W2C": [0.8918670421717898, 0.16367773473377878, 0.42164295113301864, -0.19893130661584243, -0.16304624031720055, 0.9858926873440638, -0.037835599108850294, 0.011184379289213533, -0.4218875473466454, -0.03500297407247991, 0.9059722342323261, -0.6664177915675493, 0.0, 0.0, 0.0, 1.0], "img_size": [1280, 846]}, "000002.png": {"K": [988.02130870888, 0.0, 640.0, 0.0, 0.0, 987.7002976872574, 423.0, 0.0, 0.0, 0.0, 1.0, 0.0, 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europa/static_path1_blend/intrinsics/000000.txt
ADDED
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europa/static_path1_blend/intrinsics/000001.txt
ADDED
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europa/static_path1_blend/intrinsics/000002.txt
ADDED
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europa/static_path1_blend/intrinsics/000003.txt
ADDED
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europa/static_path1_blend/intrinsics/000004.txt
ADDED
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europa/static_path1_blend/intrinsics/000005.txt
ADDED
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