update results display

yolov5.py

@@ -90,10 +90,10 @@ def xai_yolov5(image,target_lyr = -5, n_components = 8):
 
     rgb_img_float, batch_explanations, result = dff_nmf(image, target_lyr = -5, n_components = 8)
     result = np.hstack(result)
-    im = visualize_batch_explanations(rgb_img_float, batch_explanations)
+    im = visualize_batch_explanations(rgb_img_float, batch_explanations)  ##########to be displayed
     
     # Combine results
-    final_image = np.hstack((image, detections_img, renormalized_cam_image, im))
+    final_image = np.hstack((image, detections_img, renormalized_cam_image))
     caption = "Results using YOLOv5"
     return Image.fromarray(final_image), caption, result