Update gradio_utils.py

gradio_utils.py

@@ -206,6 +206,8 @@ def upload_image_inference(img, transparency):
 
   grayscale_cam = cam(input_tensor=img, targets=targets)
   grayscale_cam = grayscale_cam[0, :]
+    
+  visualization = show_cam_on_image(img_copy/255, grayscale_cam, use_rgb=False, image_weight=transparency)
 
   renormalized_cam = np.zeros(grayscale_cam.shape, dtype=np.float32)
 
@@ -213,8 +215,11 @@ def upload_image_inference(img, transparency):
     renormalized_cam[y1:y2, x1:x2] = scale_cam_image(grayscale_cam[y1:y2, x1:x2].copy())  
   
   renormalized_cam = scale_cam_image(renormalized_cam)
-  eigencam_image_renormalized = show_cam_on_image(np.float32(img_copy)/255, renormalized_cam, use_rgb=True)
+  eigencam_image_renormalized = show_cam_on_image(np.float32(img_copy)/255, renormalized_cam, use_rgb=True, image_weight=transparency)
 
   return([[img_copy, annotations],
-          [grayscale_cam, eigencam_image_renormalized]])
+          [grayscale_cam, 
+           renormalized_cam
+           visualization,
+           eigencam_image_renormalized]])