Update app.py
Browse files
app.py
CHANGED
@@ -15,7 +15,7 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
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if isinstance(results[0], str) and results[0].startswith("Error"):
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print(f"Error occurred: {results[0]}")
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return [results[0]] + [None] *
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exec_time, results_summary, df, mse_embeddings, mse_posture, mse_voice, \
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mse_plot_embeddings, mse_plot_posture, mse_plot_voice, \
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@@ -24,7 +24,8 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
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face_samples_frequent, \
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anomaly_faces_embeddings, anomaly_frames_posture_images, \
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aligned_faces_folder, frames_folder, \
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heatmap_video_path, correlation_heatmap
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anomaly_faces_embeddings_pil = [Image.fromarray(face) for face in anomaly_faces_embeddings] if anomaly_faces_embeddings is not None else []
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anomaly_frames_posture_pil = [Image.fromarray(frame) for frame in anomaly_frames_posture_images] if anomaly_frames_posture_images is not None else []
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@@ -42,7 +43,8 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
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aligned_faces_folder, frames_folder,
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mse_embeddings, mse_posture, mse_voice,
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heatmap_video_path,
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correlation_heatmap
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]
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return output
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@@ -52,7 +54,7 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
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print(error_message)
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import traceback
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traceback.print_exc()
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return [error_message] + [None] *
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def show_results(outputs):
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return gr.Group(visible=True)
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@@ -97,6 +99,8 @@ with gr.Blocks() as iface:
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with gr.TabItem("Combined"):
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heatmap_video = gr.Video(label="Video with Anomaly Heatmap")
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correlation_heatmap_plot = gr.Plot(label="Correlation Heatmap")
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df_store = gr.State()
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@@ -122,7 +126,7 @@ with gr.Blocks() as iface:
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face_samples_most_frequent,
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aligned_faces_folder_store, frames_folder_store,
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mse_heatmap_embeddings_store, mse_heatmap_posture_store, mse_heatmap_voice_store,
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heatmap_video, correlation_heatmap_plot
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]
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).then(
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show_results,
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if isinstance(results[0], str) and results[0].startswith("Error"):
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print(f"Error occurred: {results[0]}")
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return [results[0]] + [None] * 26
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exec_time, results_summary, df, mse_embeddings, mse_posture, mse_voice, \
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mse_plot_embeddings, mse_plot_posture, mse_plot_voice, \
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face_samples_frequent, \
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anomaly_faces_embeddings, anomaly_frames_posture_images, \
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aligned_faces_folder, frames_folder, \
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heatmap_video_path, correlation_heatmap,
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combined_mse_plot, combined_heatmap = results
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anomaly_faces_embeddings_pil = [Image.fromarray(face) for face in anomaly_faces_embeddings] if anomaly_faces_embeddings is not None else []
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anomaly_frames_posture_pil = [Image.fromarray(frame) for frame in anomaly_frames_posture_images] if anomaly_frames_posture_images is not None else []
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aligned_faces_folder, frames_folder,
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mse_embeddings, mse_posture, mse_voice,
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heatmap_video_path,
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correlation_heatmap,
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combined_mse_plot, combined_heatmap
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]
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return output
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print(error_message)
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import traceback
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traceback.print_exc()
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return [error_message] + [None] * 26
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def show_results(outputs):
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return gr.Group(visible=True)
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with gr.TabItem("Combined"):
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heatmap_video = gr.Video(label="Video with Anomaly Heatmap")
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combined_mse_plot = gr.Plot(label="Combined MSE Plot")
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combined_heatmap = gr.Plot(label="Combined Heatmap")
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correlation_heatmap_plot = gr.Plot(label="Correlation Heatmap")
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df_store = gr.State()
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face_samples_most_frequent,
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aligned_faces_folder_store, frames_folder_store,
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mse_heatmap_embeddings_store, mse_heatmap_posture_store, mse_heatmap_voice_store,
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heatmap_video, correlation_heatmap_plot, combined_mse_plot, combined_heatmap
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]
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).then(
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show_results,
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