--- a
+++ b/utilities/visUtils.py
@@ -0,0 +1,57 @@
+import os
+from PIL import Image
+import numpy as np
+from torch.autograd import Variable
+import torchvision.transforms as transforms
+
+
+## GradCam and other Attention
+## https://github.com/jacobgil/pytorch-grad-cam
+from pytorch_grad_cam import GradCAM, HiResCAM, ScoreCAM, 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
+
+
+class GradCamVisualizer:
+
+    def __init__(self, model, visfolder, transform = None,
+                    grad_cam = {"layers": None, "class_target": None},
+                    device = "cpu"):
+        self.device = device
+        if not os.path.exists(visfolder): os.makedirs(visfolder)
+        self.visfolder = visfolder
+
+        if transform: self.transforms = transforms
+        else: transform =self.transforms = transforms.Compose([transforms.ToTensor()])
+
+        self.cam_list = []
+        for lyr in grad_cam["layers"]:
+            self.cam_list.append(
+                GradCAM(model=model, target_layers=grad_cam["layers"],
+                        use_cuda=device)   )
+
+        cls_tgt = grad_cam["class_targets"]
+        self.targets = [ClassifierOutputTarget(cls_tgt) ] if cls_tgt else None
+
+
+    def grad_cam_logger(self, image_path, ):
+
+
+        img, tnsr = self._image_loader()
+        out_list = []
+        for cam in self.cam_list:
+            grayscale_cam = cam(input_tensor=tnsr, targets=self.targets)
+            grayscale_cam = grayscale_cam[0, :]
+            imposed_img = show_cam_on_image(img, grayscale_cam, use_rgb=True)
+
+            out_list.append()
+
+
+    def _image_loader(self, image_name):
+        """load image, returns cuda tensor"""
+
+        image = Image.open(image_name)
+        tensor = self.transforms(image).float()
+        tensor = Variable(image, requires_grad=True)
+        tensor = tensor.unsqueeze(0)  #for batch Size
+        return image, tensor
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