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Update modules/streamlit_utils.py
Browse fileschange the name of to modify prediction
modules/streamlit_utils.py
CHANGED
@@ -330,7 +330,7 @@ def display_sidebar():
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st.sidebar.text("3. Set the score threshold for\n prediction (default is 0.5)")
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st.sidebar.text("4. Click on 'Launch Prediction'")
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st.sidebar.text("5. You can now see the\n annotation and the BPMN XML\n result")
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st.sidebar.text("6. You can modify the result \n by clicking on:\n '
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st.sidebar.text("7. You can change the scale for \n the XML file and the size of \n elements (default is 1.0)")
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st.sidebar.text("8. You can modify with modeler \n and download the result in \n right format")
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st.sidebar.subheader("If there is an error, try to:")
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@@ -525,7 +525,7 @@ def launch_prediction(cropped_image, score_threshold, is_mobile, screen_width):
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def modify_results(percentage_text_dist_thresh=0.5):
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"""
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Allows the user to modify the results using
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Parameters:
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- percentage_text_dist_thresh (float): Threshold for mapping text to predictions based on percentage distance.
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@@ -533,7 +533,7 @@ def modify_results(percentage_text_dist_thresh=0.5):
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Returns:
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- bool: True if changes are detected and modifications are made, otherwise False.
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"""
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with st.expander("
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label_list = list(object_dict.values())
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if st.session_state.prediction['labels'][-1] == 6:
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bboxes = [[int(coord) for coord in box] for box in st.session_state.prediction['boxes'][:-1]]
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st.sidebar.text("3. Set the score threshold for\n prediction (default is 0.5)")
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st.sidebar.text("4. Click on 'Launch Prediction'")
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st.sidebar.text("5. You can now see the\n annotation and the BPMN XML\n result")
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st.sidebar.text("6. You can modify the result \n by clicking on:\n 'Modify prediction'")
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st.sidebar.text("7. You can change the scale for \n the XML file and the size of \n elements (default is 1.0)")
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st.sidebar.text("8. You can modify with modeler \n and download the result in \n right format")
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st.sidebar.subheader("If there is an error, try to:")
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def modify_results(percentage_text_dist_thresh=0.5):
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"""
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Allows the user to modify the results using Modify prediction.
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Parameters:
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- percentage_text_dist_thresh (float): Threshold for mapping text to predictions based on percentage distance.
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Returns:
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- bool: True if changes are detected and modifications are made, otherwise False.
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"""
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with st.expander("Modify prediction"):
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label_list = list(object_dict.values())
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if st.session_state.prediction['labels'][-1] == 6:
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bboxes = [[int(coord) for coord in box] for box in st.session_state.prediction['boxes'][:-1]]
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