jeremyLE-Ekimetrics commited on
Commit
3006f1e
·
1 Parent(s): 408afad
Files changed (1) hide show
  1. biomap/streamlit_app.py +2 -2
biomap/streamlit_app.py CHANGED
@@ -59,7 +59,7 @@ def app(model):
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  st.markdown("<h2 style='text-align: center;'>Estimate Biodiversity in the world with the help of land cover.</h2>", unsafe_allow_html=True)
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  st.markdown("<p style='text-align: center;'>The segmentation model is an association of UNet and DinoV1 trained on the dataset CORINE. Land use is divided into 6 differents classes : Each class is assigned a GBS score from 0 to 1</p>", unsafe_allow_html=True)
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  st.markdown("<p style='text-align: center;'>Buildings : 0.1 | Infrastructure : 0.1 | Cultivation : 0.4 | Wetland : 0.9 | Water : 0.9 | Natural green : 1 </p>", unsafe_allow_html=True)
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- st.markdown("<p style='text-align: center;'>The score is then average on the full image.</p>", unsafe_allow_html=True)
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  col_1, col_2 = st.columns([0.5,0.5])
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  with col_1:
@@ -79,7 +79,7 @@ def app(model):
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  with tabs1:
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  col_tab1_1, col_tab1_2 = st.columns(2)
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  with col_tab1_1:
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- lat = st.text_input("lattitude", value=selected_latitude)
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  with col_tab1_2:
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  long = st.text_input("longitude", value=selected_longitude)
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  st.markdown("<h2 style='text-align: center;'>Estimate Biodiversity in the world with the help of land cover.</h2>", unsafe_allow_html=True)
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  st.markdown("<p style='text-align: center;'>The segmentation model is an association of UNet and DinoV1 trained on the dataset CORINE. Land use is divided into 6 differents classes : Each class is assigned a GBS score from 0 to 1</p>", unsafe_allow_html=True)
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  st.markdown("<p style='text-align: center;'>Buildings : 0.1 | Infrastructure : 0.1 | Cultivation : 0.4 | Wetland : 0.9 | Water : 0.9 | Natural green : 1 </p>", unsafe_allow_html=True)
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+ st.markdown("<p style='text-align: center;'>The score is then averaged on the full image.</p>", unsafe_allow_html=True)
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  col_1, col_2 = st.columns([0.5,0.5])
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  with col_1:
 
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  with tabs1:
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  col_tab1_1, col_tab1_2 = st.columns(2)
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  with col_tab1_1:
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+ lat = st.text_input("latitude", value=selected_latitude)
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  with col_tab1_2:
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  long = st.text_input("longitude", value=selected_longitude)
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