31 lines
935 B
Python
31 lines
935 B
Python
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import numpy as np
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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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class GradCAMElementWise(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(
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GradCAMElementWise,
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self).__init__(
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model,
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target_layers,
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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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elementwise_activations = np.maximum(grads * activations, 0)
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if eigen_smooth:
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cam = get_2d_projection(elementwise_activations)
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else:
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cam = elementwise_activations.sum(axis=1)
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return cam
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