| import numpy as np | |
| from pytorch_grad_cam.base_cam import BaseCAM | |
| class RandomCAM(BaseCAM): | |
| def __init__(self, model, target_layers, use_cuda=False, | |
| reshape_transform=None): | |
| super( | |
| RandomCAM, | |
| self).__init__( | |
| model, | |
| target_layers, | |
| use_cuda, | |
| reshape_transform) | |
| def get_cam_weights(self, | |
| input_tensor, | |
| target_layer, | |
| target_category, | |
| activations, | |
| grads): | |
| return np.random.uniform(-1, 1, size=(grads.shape[0], grads.shape[1])) | |