localization updates

localization.py

@@ -111,6 +111,12 @@ def app():
         The location of the object is computed by masking different areas of the image and looking at 
         how the similarity to the image description changes. If you want to have a look at the implementation in details
         you can find it in [this Colab](https://colab.research.google.com/drive/10neENr1DEAFq_GzsLqBDo0gZ50hOhkOr?usp=sharing).
+        
+        On the two parameters: the pixel size defines the resolution of the localization map. A pixel size of 15 means 
+        that 15 pixels in the original image will form 1 pixel in the heatmap. The refinement 
+        iterations are just a cheap operation to reduce background noise. Too few iterations will leave a lot of noise. 
+        Too many will shrink the heatmap too much.
+
 
         🤌 Italian mode on! 🤌