gistfile1.txt

import numpy as np
from third_party.colmap.scripts.python.read_write_model import read_model, qvec2rotmat

src = '../rebuttal/results-colmap/'
considered = [5, 10, 25, 50, 100, 150, 200, 250, 300, 400, 500, 600]

cameras = {}
images = {}
names = {}

for cur in considered:
    print(cur)
    _cameras, _images, _points = read_model(path=src + 'split-{:04d}/dense/0/sparse'.format(cur), ext='.bin')
    cameras[cur] = _cameras
    images[cur] = _images
    names[cur] = [_images[i].name.split('/')[-1] for i in _images]

s = set(names[considered[0]])
for n in considered[1:]:
    s &= set(names[n])
common = list(s)

print('Found {} images in common'.format(len(common)))