Fix imports in cam

app.py

@@ -21,8 +21,8 @@ from PIL import Image, ImageDraw, ImageFont
 
 # from pytorch_grad_cam import GradCAM, HiResCAM, GradCAMPlusPlus, AblationCAM, XGradCAM, EigenCAM, FullGrad
 from custom_code.custom_grad_cam import GradCAM, HiResCAM, GradCAMPlusPlus, AblationCAM, XGradCAM, EigenCAM, FullGrad
-from pytorch_grad_cam.utils.model_targets import ClassifierOutputTarget
-from pytorch_grad_cam.utils.image import show_cam_on_image
+from custom_code.custom_grad_cam.utils.model_targets import ClassifierOutputTarget
+from custom_code.custom_grad_cam.utils.image import show_cam_on_image
 
 from tqdm import tqdm
 from util import transform

src/custom_code/custom_grad_cam/ablation_cam.py

@@ -2,9 +2,9 @@ import numpy as np
 import torch
 import tqdm
 from typing import Callable, List
-from pytorch_grad_cam.base_cam import BaseCAM
-from pytorch_grad_cam.utils.find_layers import replace_layer_recursive
-from pytorch_grad_cam.ablation_layer import AblationLayer
+from custom_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.utils.find_layers import replace_layer_recursive
+from custom_grad_cam.ablation_layer import AblationLayer
 
 
 """ Implementation of AblationCAM

src/custom_code/custom_grad_cam/ablation_cam_multilayer.py

@@ -2,7 +2,7 @@ import cv2
 import numpy as np
 import torch
 import tqdm
-from pytorch_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.base_cam import BaseCAM
 
 
 class AblationLayer(torch.nn.Module):

src/custom_code/custom_grad_cam/ablation_layer.py

@@ -1,7 +1,7 @@
 import torch
 from collections import OrderedDict
 import numpy as np
-from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
+from custom_grad_cam.utils.svd_on_activations import get_2d_projection
 
 
 class AblationLayer(torch.nn.Module):

src/custom_code/custom_grad_cam/base_cam.py

@@ -2,10 +2,10 @@ import numpy as np
 import torch
 import ttach as tta
 from typing import Callable, List, Tuple
-from pytorch_grad_cam.activations_and_gradients import ActivationsAndGradients
-from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
-from pytorch_grad_cam.utils.image import scale_cam_image
-from pytorch_grad_cam.utils.model_targets import ClassifierOutputTarget
+from custom_grad_cam.activations_and_gradients import ActivationsAndGradients
+from custom_grad_cam.utils.svd_on_activations import get_2d_projection
+from custom_grad_cam.utils.image import scale_cam_image
+from custom_grad_cam.utils.model_targets import ClassifierOutputTarget
 
 
 class BaseCAM:

src/custom_code/custom_grad_cam/eigen_cam.py

@@ -1,5 +1,5 @@
-from pytorch_grad_cam.base_cam import BaseCAM
-from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
+from custom_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.utils.svd_on_activations import get_2d_projection
 
 # https://arxiv.org/abs/2008.00299
 

src/custom_code/custom_grad_cam/eigen_grad_cam.py

@@ -1,5 +1,5 @@
-from pytorch_grad_cam.base_cam import BaseCAM
-from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
+from custom_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.utils.svd_on_activations import get_2d_projection
 
 # Like Eigen CAM: https://arxiv.org/abs/2008.00299
 # But multiply the activations x gradients

src/custom_code/custom_grad_cam/feature_factorization/deep_feature_factorization.py

@@ -3,8 +3,8 @@ from PIL import Image
 import torch
 from typing import Callable, List, Tuple, Optional
 from sklearn.decomposition import NMF
-from pytorch_grad_cam.activations_and_gradients import ActivationsAndGradients
-from pytorch_grad_cam.utils.image import scale_cam_image, create_labels_legend, show_factorization_on_image
+from custom_grad_cam.activations_and_gradients import ActivationsAndGradients
+from custom_grad_cam.utils.image import scale_cam_image, create_labels_legend, show_factorization_on_image
 
 
 def dff(activations: np.ndarray, n_components: int = 5):

src/custom_code/custom_grad_cam/fullgrad_cam.py

@@ -1,9 +1,9 @@
 import numpy as np
 import torch
-from pytorch_grad_cam.base_cam import BaseCAM
-from pytorch_grad_cam.utils.find_layers import find_layer_predicate_recursive
-from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
-from pytorch_grad_cam.utils.image import scale_accross_batch_and_channels, scale_cam_image
+from custom_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.utils.find_layers import find_layer_predicate_recursive
+from custom_grad_cam.utils.svd_on_activations import get_2d_projection
+from custom_grad_cam.utils.image import scale_accross_batch_and_channels, scale_cam_image
 
 # https://arxiv.org/abs/1905.00780
 

src/custom_code/custom_grad_cam/grad_cam.py

@@ -1,5 +1,5 @@
 import numpy as np
-from pytorch_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.base_cam import BaseCAM
 
 
 class GradCAM(BaseCAM):

src/custom_code/custom_grad_cam/grad_cam_elementwise.py

@@ -1,6 +1,6 @@
 import numpy as np
-from pytorch_grad_cam.base_cam import BaseCAM
-from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
+from custom_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.utils.svd_on_activations import get_2d_projection
 
 
 class GradCAMElementWise(BaseCAM):

src/custom_code/custom_grad_cam/grad_cam_plusplus.py

@@ -1,5 +1,5 @@
 import numpy as np
-from pytorch_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.base_cam import BaseCAM
 
 # https://arxiv.org/abs/1710.11063
 

src/custom_code/custom_grad_cam/guided_backprop.py

@@ -1,7 +1,7 @@
 import numpy as np
 import torch
 from torch.autograd import Function
-from pytorch_grad_cam.utils.find_layers import replace_all_layer_type_recursive
+from custom_grad_cam.utils.find_layers import replace_all_layer_type_recursive
 
 
 class GuidedBackpropReLU(Function):

src/custom_code/custom_grad_cam/hirescam.py

@@ -1,6 +1,6 @@
 import numpy as np
-from pytorch_grad_cam.base_cam import BaseCAM
-from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
+from custom_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.utils.svd_on_activations import get_2d_projection
 
 
 class HiResCAM(BaseCAM):

src/custom_code/custom_grad_cam/layer_cam.py

@@ -1,6 +1,6 @@
 import numpy as np
-from pytorch_grad_cam.base_cam import BaseCAM
-from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
+from custom_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.utils.svd_on_activations import get_2d_projection
 
 # https://ieeexplore.ieee.org/document/9462463
 

src/custom_code/custom_grad_cam/metrics/cam_mult_image.py

@@ -1,7 +1,7 @@
 import torch
 import numpy as np
 from typing import List, Callable
-from pytorch_grad_cam.metrics.perturbation_confidence import PerturbationConfidenceMetric
+from custom_grad_cam.metrics.perturbation_confidence import PerturbationConfidenceMetric
 
 
 def multiply_tensor_with_cam(input_tensor: torch.Tensor,

src/custom_code/custom_grad_cam/metrics/road.py

@@ -30,7 +30,7 @@ import numpy as np
 from scipy.sparse import lil_matrix, csc_matrix
 from scipy.sparse.linalg import spsolve
 from typing import List, Callable
-from pytorch_grad_cam.metrics.perturbation_confidence import PerturbationConfidenceMetric, \
+from custom_grad_cam.metrics.perturbation_confidence import PerturbationConfidenceMetric, \
     AveragerAcrossThresholds, \
     RemoveMostRelevantFirst, \
     RemoveLeastRelevantFirst

src/custom_code/custom_grad_cam/random_cam.py

@@ -1,5 +1,5 @@
 import numpy as np
-from pytorch_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.base_cam import BaseCAM
 
 
 class RandomCAM(BaseCAM):

src/custom_code/custom_grad_cam/score_cam.py

@@ -1,6 +1,6 @@
 import torch
 import tqdm
-from pytorch_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.base_cam import BaseCAM
 
 
 class ScoreCAM(BaseCAM):

src/custom_code/custom_grad_cam/xgrad_cam.py

@@ -1,5 +1,5 @@
 import numpy as np
-from pytorch_grad_cam.base_cam import BaseCAM
+from custom_grad_cam.base_cam import BaseCAM
 
 
 class XGradCAM(BaseCAM):