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| import streamlit as st | |
| from PIL import Image | |
| import os | |
| def show_choosing_pic_bar(images, img_folder): | |
| st.sidebar.header("π Select an Image") | |
| col1, col2 = st.sidebar.columns(2) | |
| selected_img = None | |
| for i, img_name in enumerate(images): | |
| img_path = os.path.join(img_folder, img_name) | |
| image = Image.open(img_path).resize((100, 100)) | |
| col = col1 if i % 2 == 0 else col2 | |
| if col.button("Select", key=img_name): | |
| st.session_state.selected_image = img_name | |
| col.image(image, use_container_width = True) | |
| #st.sidebar.image(image) | |
| col.caption(img_name) | |
| def show_right_sidebar(col): | |
| # Set defaults if not present | |
| if "confidence" not in st.session_state: | |
| st.session_state.confidence = 0.25 | |
| if "iou" not in st.session_state: | |
| st.session_state.iou = 0.7 | |
| if "show_confidence" not in st.session_state: | |
| st.session_state.show_confidence = False # Set default to False | |
| with col: | |
| st.markdown("### βοΈ Hyperparameters", unsafe_allow_html=True) | |
| # --- Confidence --- | |
| st.session_state.confidence = st.number_input( | |
| "Confidence Threshold", min_value=0.0, max_value=1.0, | |
| step=0.01, value=st.session_state.confidence, | |
| format="%.2f" | |
| ) | |
| st.caption("Confidence score for label in predicted bounding box.") | |
| st.divider() | |
| # --- IOU --- | |
| st.session_state.iou = st.number_input( | |
| "IOU Threshold", min_value=0.0, max_value=1.0, | |
| step=0.01, value=st.session_state.iou, | |
| format="%.2f" | |
| ) | |
| st.caption("Lower values result in fewer detections by eliminating overlapping boxes, useful for reducing duplicates.") | |
| st.markdown("---") | |
| st.header("π Display Options") | |
| # --- Show Confidence Checkbox --- | |
| st.session_state.show_confidence = st.checkbox( | |
| "Show Confidence", value=st.session_state.show_confidence | |
| ) | |
| return st.session_state.confidence, st.session_state.iou, st.session_state.show_confidence |