22 lines
779 B
Python
22 lines
779 B
Python
from pytorch_grad_cam.base_cam import BaseCAM
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from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
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# Like Eigen CAM: https://arxiv.org/abs/2008.00299
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# But multiply the activations x gradients
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class EigenGradCAM(BaseCAM):
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def __init__(self, model, target_layers, use_cuda=False,
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reshape_transform=None):
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super(EigenGradCAM, self).__init__(model, target_layers, use_cuda,
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reshape_transform)
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def get_cam_image(self,
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input_tensor,
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target_layer,
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target_category,
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activations,
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grads,
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eigen_smooth):
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return get_2d_projection(grads * activations)
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