Update app.py

app.py

@@ -152,14 +152,15 @@ with gr.Blocks() as demo:
         grayscale_cam = cam(input_tensor = input_img_tensor, targets= targets)
         grayscale_cam = grayscale_cam[0, :]
         
-        renormalized_cam = np.zeros(grayscale_cam.shape, dtype=np.float32)
-        new_bboxes = [a[0] for a in sections]
+        #renormalized_cam = np.zeros(grayscale_cam.shape, dtype=np.float32)
+        #new_bboxes = [a[0] for a in sections]
           
-        for x1, y1, x2, y2 in new_bboxes:
-            renormalized_cam[y1:y2, x1:x2] = scale_cam_image(grayscale_cam[y1:y2, x1:x2].copy())
+        # for x1, y1, x2, y2 in new_bboxes:
+        #     renormalized_cam[y1:y2, x1:x2] = scale_cam_image(grayscale_cam[y1:y2, x1:x2].copy())
 
-        renormalized_cam = scale_cam_image(renormalized_cam) 
-        visualization = show_cam_on_image(input_img_copy, renormalized_cam, use_rgb=False, image_weight=gradcam_opa)
+        # renormalized_cam = scale_cam_image(renormalized_cam) 
+        #visualization = show_cam_on_image(input_img_copy, renormalized_cam, use_rgb=False, image_weight=gradcam_opa)
+        visualization = show_cam_on_image(input_img_copy, grayscale_cam, use_rgb=False, image_weight=gradcam_opa)
 
         return (visualization,sections)
       else: