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| import os | |
| os.system("python -m pip install --upgrade pip") | |
| os.system("pip uninstall -y gradio") | |
| os.system("pip install gradio==4.1.2") | |
| import gradio as gr | |
| from backend import * | |
| with gr.Blocks() as demo: | |
| gr.Markdown( | |
| """ | |
| # Aerial Image Segmentation | |
| An instance segmentation demo for identifying boundaries of buildings and trees in aerial images using DETR (End-to-End Object Detection) model with MaskRCNN-101 backbone | |
| """ | |
| ) | |
| with gr.Row(equal_height=True): | |
| with gr.Column(): | |
| image_input = gr.components.Image(type="pil", label="Input Image") | |
| with gr.Column(): | |
| mode_dropdown = gr.Dropdown(choices=["Trees", "Buildings", "Trees & Buildings", "LCZ"], label="Detection Mode", value="Trees & Buildings") | |
| color_mode_select = gr.components.Radio(choices=["Black/white", "Random", "Segmentation"], label="Color Mode", value="Segmentation") | |
| # split tree and building into two rows side by side | |
| tree_row, building_row , lcz_row = gr.Row(), gr.Row(), gr.Row(visible=False) | |
| # tree_col, building_col = gr.Column(elem_id="tree_col"), gr.Column(elem_id="building_col") | |
| with tree_row as tree_options: | |
| tree_version_dropdown = gr.Dropdown(choices=list_cfg_file_versions("tree_model_weights"), label="Tree Detection Version", value="treev2", visible=True, interactive=True) | |
| tree_pth_dropdown = gr.Dropdown(choices=list_pth_files_in_directory("tree_model_weights", "v2"), label="Select a tree model file", visible=True, interactive=True) | |
| tree_threshold_slider = gr.Slider(minimum=0, maximum=1, step=0.1, value=0.7, label='Set confidence threshold "%" for trees', visible=True, interactive=True) | |
| with building_row as building_options: | |
| building_version_dropdown = gr.Dropdown(choices=list_cfg_file_versions("building_model_weights"), label="Building Detection Version", value="buildingv1", visible=True, interactive=True) | |
| building_pth_dropdown = gr.Dropdown(choices=list_pth_files_in_directory("building_model_weights", "v1"), label="Select a building model file", visible=True, interactive=True) | |
| building_threshold_slider = gr.Slider(minimum=0, maximum=1, step=0.1, value=0.7, label='Set confidence threshold "%" for buildings', visible=True, interactive=True) | |
| with lcz_row as lcz_options: | |
| lcz_version_dropdown = gr.Dropdown(choices=["lczv1"], label="LCZ Classification Version", value="lczv1", visible=True, interactive=True) | |
| lcz_pth_dropdown = gr.Dropdown(choices=list_pth_files_in_directory("lcz_model_weights", "lcz_v1"), label="Select a tree model file", visible=True, interactive=True) | |
| lcz_threshold_slider = gr.Slider(minimum=0, maximum=1, step=0.1, value=0.7, label='Set confidence threshold "%" for LCZs', visible=True, interactive=True) | |
| # mode_dropdown.change(update_visibility, inputs=[mode_dropdown], outputs=[tree_version_dropdown, tree_pth_dropdown, tree_threshold_slider, building_version_dropdown, building_pth_dropdown, building_threshold_slider]) | |
| mode_dropdown.change(update_row_visibility, inputs=[mode_dropdown], outputs=[tree_row, building_row, lcz_row]) | |
| tree_version_dropdown.change(update_path_options, inputs=[tree_version_dropdown], outputs=[tree_pth_dropdown]) | |
| building_version_dropdown.change(update_path_options, inputs=[building_version_dropdown], outputs=[building_pth_dropdown]) | |
| lcz_version_dropdown.change(update_path_options, inputs=[lcz_version_dropdown], outputs=[lcz_pth_dropdown]) | |
| output_image = gr.components.Image(type="pil", label="Output Image") | |
| run_model = gr.Button("Upload Image and Run Model") | |
| demo.launch() |