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import torch
class BaseTransform(object):
def __init__(self):
self.image_changed = False
def transform(self, image_nd, clicks_lists):
raise NotImplementedError
def inv_transform(self, prob_map):
raise NotImplementedError
def reset(self):
raise NotImplementedError
def get_state(self):
raise NotImplementedError
def set_state(self, state):
raise NotImplementedError
class SigmoidForPred(BaseTransform):
def transform(self, image_nd, clicks_lists):
return image_nd, clicks_lists
def inv_transform(self, prob_map):
return torch.sigmoid(prob_map)
def reset(self):
pass
def get_state(self):
return None
def set_state(self, state):
pass
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