yvokeller commited on
Commit
249c808
β€’
1 Parent(s): 63ad23b

add Poster references

Browse files
app.py CHANGED
@@ -5,11 +5,18 @@ def main():
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  st.title("Messis 🌾 - Crop Classification 🌎")
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- st.write("Welcome to the Messis Crop Classification app. Use the sidebar to navigate between selecting coordinates and performing inference.")
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  st.page_link("app.py", label="Home", icon="🏠")
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  st.page_link("pages/1_Select_Location.py", label="Select Location", icon="πŸ“")
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  st.page_link("pages/2_Perform_Crop_Classification.py", label="Perform Crop Classification", icon="πŸ”")
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  if __name__ == "__main__":
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  main()
 
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  st.title("Messis 🌾 - Crop Classification 🌎")
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+ st.write("Welcome to the Messis Crop Classification demo. Use the sidebar to navigate between selecting the location you are interested in and performing crop classification.")
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  st.page_link("app.py", label="Home", icon="🏠")
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  st.page_link("pages/1_Select_Location.py", label="Select Location", icon="πŸ“")
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  st.page_link("pages/2_Perform_Crop_Classification.py", label="Perform Crop Classification", icon="πŸ”")
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+ st.markdown("""
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+ ---
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+ ### Ausstellung Bachelor-Diplomarbeiten
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+ """)
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+
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+ st.page_link("https://docs.google.com/document/d/1pd_rAwvHLSp1ba_JUFa6wfdbPoU93l41u1OZl_40Noo/edit?usp=sharing", label="Referenzen Poster", icon="πŸ“„")
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+
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  if __name__ == "__main__":
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  main()
messis/messis.py CHANGED
@@ -14,7 +14,6 @@ import json
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  from messis.prithvi import TemporalViTEncoder, ConvTransformerTokensToEmbeddingNeck, ConvTransformerTokensToEmbeddingBottleneckNeck
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-
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  def safe_shape(x):
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  if isinstance(x, tuple):
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  # loop through tuple
 
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  from messis.prithvi import TemporalViTEncoder, ConvTransformerTokensToEmbeddingNeck, ConvTransformerTokensToEmbeddingBottleneckNeck
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  def safe_shape(x):
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  if isinstance(x, tuple):
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  # loop through tuple
pages/2_Perform_Crop_Classification.py CHANGED
@@ -69,7 +69,7 @@ def perform_inference_step():
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  m = leafmap.Map(center=(lat, lon), zoom=10, draw_control=False)
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  # Perform inference
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- if st.sidebar.button("Perform Crop Classification", type="primary"):
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  predictions = perform_inference(lon, lat, model, config, debug=True)
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  m.add_data(predictions,
@@ -86,8 +86,7 @@ def perform_inference_step():
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  url=presigned_url,
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  name="Sentinel-2 Satellite Imagery",
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  bands=selected_bands,
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- rescale=f"{vmin_vmax[selected_band][0]},{vmin_vmax[selected_band][1]}",
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- zoom_to_layer=True
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  )
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  # Show the POI on the map
 
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  m = leafmap.Map(center=(lat, lon), zoom=10, draw_control=False)
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  # Perform inference
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+ if st.button("Perform Crop Classification", type="primary"):
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  predictions = perform_inference(lon, lat, model, config, debug=True)
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  m.add_data(predictions,
 
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  url=presigned_url,
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  name="Sentinel-2 Satellite Imagery",
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  bands=selected_bands,
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+ rescale=f"{vmin_vmax[selected_band][0]},{vmin_vmax[selected_band][1]}"
 
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  )
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  # Show the POI on the map