Daniel Cerda Escobar commited on
Commit
ca0a72f
·
1 Parent(s): b7fab1c
Files changed (1) hide show
  1. app.py +23 -1
app.py CHANGED
@@ -47,6 +47,9 @@ def download_comparison_images():
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  download_comparison_images()
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  if "output_1" not in st.session_state:
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  img_1 = Image.open('plant_pid.png')
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  st.session_state["output_1"] = img_1.resize((4960,3508))
@@ -55,6 +58,9 @@ if "output_2" not in st.session_state:
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  img_2 = Image.open('prediction_visual.png')
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  st.session_state["output_2"] = img_2.resize((4960,3508))
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  col1, col2, col3 = st.columns(3, gap='medium')
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  with col1:
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  with st.expander('How to use it'):
@@ -167,6 +173,22 @@ with col2:
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  with tab2:
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  st.image(st.session_state["output_2"])
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  with tab3:
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- st.dataframe(coco_df)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  download_comparison_images()
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+ # initialize prediction visual data
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+ #coco_df =
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+
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  if "output_1" not in st.session_state:
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  img_1 = Image.open('plant_pid.png')
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  st.session_state["output_1"] = img_1.resize((4960,3508))
 
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  img_2 = Image.open('prediction_visual.png')
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  st.session_state["output_2"] = img_2.resize((4960,3508))
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+ #if "output_3" not in st.session_state:
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+
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+
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  col1, col2, col3 = st.columns(3, gap='medium')
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  with col1:
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  with st.expander('How to use it'):
 
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  with tab2:
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  st.image(st.session_state["output_2"])
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  with tab3:
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+ st.dataframe(
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+ coco_df,
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+ column_config = {
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+ 'category' : 'Category',
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+ 'score' : 'Confidence',
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+ },
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+ hide_index = True,
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+ )
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+ st.dataframe(
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+ output_df,
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+ column_config = {
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+ 'category' : 'Category',
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+ 'count' : 'Number of Elements',
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+ 'percentage' : '%',
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+ },
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+ hide_index = True,
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+ )
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