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from pytorch_grad_cam.base_cam import BaseCAM
from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
# https://arxiv.org/abs/2008.00299
class EigenCAM(BaseCAM):
def __init__(self, model, target_layers, use_cuda=False,
reshape_transform=None):
super(EigenCAM, self).__init__(model,
target_layers,
use_cuda,
reshape_transform,
uses_gradients=False)
def get_cam_image(self,
input_tensor,
target_layer,
target_category,
activations,
grads,
eigen_smooth):
return get_2d_projection(activations)