23 lines
657 B
Python
23 lines
657 B
Python
import numpy as np
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from pytorch_grad_cam.base_cam import BaseCAM
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class RandomCAM(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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RandomCAM,
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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_weights(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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return np.random.uniform(-1, 1, size=(grads.shape[0], grads.shape[1]))
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