vismatch.im_models.xfeat_steerers

Classes

xFeatSteerersMatcher([device, ...])

Reference for perm steerer: https://colab.research.google.com/drive/1ZFifMqUAOQhky1197-WAquEV1K-LhDYP?usp=sharing Reference for learned steerer: https://colab.research.google.com/drive/1sCqgi3yo3OuxA8VX_jPUt5ImHDmEajsZ?usp=sharing

class vismatch.im_models.xfeat_steerers.xFeatSteerersMatcher(device='cpu', max_num_keypoints=4096, mode='sparse', steerer_type='learned', *args, **kwargs)[source][source]

Bases: BaseMatcher

Reference for perm steerer: https://colab.research.google.com/drive/1ZFifMqUAOQhky1197-WAquEV1K-LhDYP?usp=sharing Reference for learned steerer: https://colab.research.google.com/drive/1sCqgi3yo3OuxA8VX_jPUt5ImHDmEajsZ?usp=sharing

Parameters:

device (str)

hf_model_ids = {'learned': 'vismatch/xfeat-steerers-learned', 'perm': 'vismatch/xfeat-steerers-perm'}
perm_weights_gdrive_id = '1nzYg4dmkOAZPi4sjOGpQnawMoZSXYXHt'
learned_weights_gdrive_id = '1yJtmRhPVrpbXyN7Be32-FYctmX2Oz77r'
steerer_weights_drive_id = '1Qh_5YMjK1ZIBFVFvZlTe_eyjNPrOQ2Dv'
steer_permutations = [tensor([ 0,  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]), tensor([48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63,  0,  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]), tensor([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,  0,  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]), tensor([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,  0,  1,  2,  3,  4,  5,          6,  7,  8,  9, 10, 11, 12, 13, 14, 15])]
download_weights(cache_dir)[source][source]
preprocess(img)[source][source]
Parameters:

img (Tensor)

Return type:

Tensor