File size: 1,185 Bytes
da716ed |
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 |
import torch
import numpy as np
from typing import List, Callable
from pytorch_grad_cam.metrics.perturbation_confidence import PerturbationConfidenceMetric
def multiply_tensor_with_cam(input_tensor: torch.Tensor,
cam: torch.Tensor):
""" Multiply an input tensor (after normalization)
with a pixel attribution map
"""
return input_tensor * cam
class CamMultImageConfidenceChange(PerturbationConfidenceMetric):
def __init__(self):
super(CamMultImageConfidenceChange,
self).__init__(multiply_tensor_with_cam)
class DropInConfidence(CamMultImageConfidenceChange):
def __init__(self):
super(DropInConfidence, self).__init__()
def __call__(self, *args, **kwargs):
scores = super(DropInConfidence, self).__call__(*args, **kwargs)
scores = -scores
return np.maximum(scores, 0)
class IncreaseInConfidence(CamMultImageConfidenceChange):
def __init__(self):
super(IncreaseInConfidence, self).__init__()
def __call__(self, *args, **kwargs):
scores = super(IncreaseInConfidence, self).__call__(*args, **kwargs)
return np.float32(scores > 0)
|