updates

app.py

@@ -141,6 +141,11 @@ def get_ellipse_coords(point):# tuple[int, int]) -> tuple[int, int, int, int]):
     )
 
 
+"This is a demo to showcase the capability of the Batch Indexing Machine. It's part of an open source project, currently in the pre-release phase."
+
+"20 batches of random parts were run through the Batch Indexing Machine, a machine that shakes the parts while recording a video."
+"30 seconds per batch @24 FPS = 20*30*24 = 14400 images. These images are then run through a deep learning algorithm that is trained without supervision, which means that this concept has a potential to be fully automated."
+
 col1, col2 = st.columns([5,1])
 
 with col1:
@@ -181,10 +186,14 @@ with col2:
   for i in range(4):
     st.image(st.session_state["sideimg"][i].resize((128,128)))
     if i==0:
-      st.write("current selection: "+str(st.session_state["sideix"][i]))#//(gridsize**2)//20))
-    else:
-      st.write("other batch: "+str(st.session_state["sideix"][i]))#//(gridsize**2)//20))
-   
+      st.write("current selection in batch "+str(st.session_state["sideix"][i]))#//(gridsize**2)//20))
+    if i==1:
+      st.write("Best match found in batch "+str(st.session_state["sideix"][i]))#//(gridsize**2)//20))
+    if i==2:
+      st.write("Second best match found in batch "+str(st.session_state["sideix"][i]))#//(gridsize**2)//20))
+    if i==3:
+      st.write("Third best match found in batch "+str(st.session_state["sideix"][i]))#//(gridsize**2)//20))
+
     
     #st.write(st.session_state["sideix"][i])