dset = WxBSDataset('.WXBS', download=True)
print (dset[10].keys())
print (dset[10]['name'])dict_keys(['img1', 'img2', 'pts', 'errors', 'name'])
WGALBS/submarine2
WxBSDataset (root_dir:str, subset:str='test', version='v1.1', download:bool=True)
Wide multiple baselines stereo dataset.
dict_keys(['img1', 'img2', 'pts', 'errors', 'name'])
WGALBS/submarine2
EVDDataset (root_dir:str, subset:str='test', version='v1.0', download:bool=True)
Extreme View Dataset.
Our dataset returns tuples of: image1, image2, labelled GT correspondences, cross-validation errors
dset = EVDDataset('.EVD', download=True)
print (dset[0].keys())
print (dset[0]['name'])
print (dset[0]['H'])Downloading http://cmp.felk.cvut.cz/wbs/datasets/EVD.zip to .EVD2/EVD.zip
# Extracting data .EVD2
dict_keys(['img1', 'img2', 'img1_shape', 'img2_shape', 'H', 'name'])
adam
[[ 1.60197402e-01 -9.50942558e-02 2.72132086e+02]
[ 1.13716755e-02 8.83741135e-01 4.04505014e+00]
[-7.88552590e-05 -3.01914075e-05 1.00000000e+00]]
100%|█████████████████████████████████████████████████████████████| 28531000/28531000 [00:04<00:00, 6793575.68it/s]