Method__init__(self, tps_grid_size=3, tps_reg_factor=0, out_h=240, out_w=240,
offset_factor=1.0,
core/utils/transformation.py:18
Method__init__(self, geometric_model='affine', tps_grid_size=3, tps_reg_factor=0, out_h=240, out_w=240,
off
core/utils/transformation.py:80
Method__init__(self, use_cuda=True, geometric_model='affine', crop_factor=9 / 16, output_size=(240, 240),
p
core/utils/transformation.py:152
Method__init__(self, use_cuda=True, crop_factor=9 / 16, output_size=(240, 240), padding_factor=0.5)
core/utils/transformation.py:234
Method__init__(self, use_cuda=True, crop_factor=9 / 16, output_size=(240, 240), padding_factor=0.5)
core/utils/transformation.py:276
Method__init__(self, use_cuda=True, crop_factor=9 / 16, output_size=(240, 240), padding_factor=0.5)
core/utils/transformation.py:336
Method__init__(self, out_h=240, out_w=240, use_regular_grid=True, grid_size=3, reg_factor=0, use_cuda=True)
core/utils/transformation.py:524
Methodforward -img: image (N, C, H, W) -flo: optical flow (N, 2, H, W) elements of flo is in [0, H] and [0, W] for dx, dy
core/utils/forward_warp.py:13