reab5555 commited on
Commit
ec74b6e
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1 Parent(s): 9f4919a

Update video_processing.py

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Files changed (1) hide show
  1. video_processing.py +2 -6
video_processing.py CHANGED
@@ -10,7 +10,7 @@ from face_analysis import get_face_embedding, cluster_faces, organize_faces_by_p
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  from pose_analysis import pose, calculate_posture_score, draw_pose_landmarks
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  from voice_analysis import get_speaker_embeddings, align_voice_embeddings, extract_audio_from_video, diarize_speakers
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  from anomaly_detection import anomaly_detection
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- from visualization import plot_mse, plot_mse_histogram, plot_mse_heatmap, create_video_with_heatmap, plot_combined_mse, combined_heatmap, plot_correlation_heatmap
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  from utils import frame_to_timecode
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  import pandas as pd
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  from facenet_pytorch import MTCNN
@@ -200,9 +200,6 @@ def process_video(video_path, anomaly_threshold, desired_fps, progress=None):
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  # Generate the combined MSE plot
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  combined_mse_plot = plot_combined_mse(df, mse_embeddings, mse_posture, mse_voice, "Combined MSE Plot")
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- # Generate the combined heatmap
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- combined_heatmap = plot_mse_heatmap(np.vstack((mse_embeddings, mse_posture, mse_voice)), "Combined MSE Heatmap", df)
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-
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  correlation_heatmap = plot_correlation_heatmap(mse_embeddings, mse_posture, mse_voice)
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  try:
@@ -232,7 +229,7 @@ def process_video(video_path, anomaly_threshold, desired_fps, progress=None):
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  print(f"Error details: {str(e)}")
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  import traceback
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  traceback.print_exc()
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- return (f"Error in video processing: {str(e)}",) + (None,) * 28
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  progress(1.0, "Preparing results")
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  results = f"Number of persons detected: {num_clusters}\n\n"
@@ -301,7 +298,6 @@ def process_video(video_path, anomaly_threshold, desired_fps, progress=None):
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  frames_folder,
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  heatmap_video_path,
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  combined_mse_plot,
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- combined_heatmap,
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  correlation_heatmap
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  )
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  from pose_analysis import pose, calculate_posture_score, draw_pose_landmarks
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  from voice_analysis import get_speaker_embeddings, align_voice_embeddings, extract_audio_from_video, diarize_speakers
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  from anomaly_detection import anomaly_detection
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+ from visualization import plot_mse, plot_mse_histogram, plot_mse_heatmap, create_video_with_heatmap, plot_combined_mse, plot_correlation_heatmap
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  from utils import frame_to_timecode
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  import pandas as pd
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  from facenet_pytorch import MTCNN
 
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  # Generate the combined MSE plot
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  combined_mse_plot = plot_combined_mse(df, mse_embeddings, mse_posture, mse_voice, "Combined MSE Plot")
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  correlation_heatmap = plot_correlation_heatmap(mse_embeddings, mse_posture, mse_voice)
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  try:
 
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  print(f"Error details: {str(e)}")
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  import traceback
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  traceback.print_exc()
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+ return (f"Error in video processing: {str(e)}",) + (None,) * 27
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  progress(1.0, "Preparing results")
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  results = f"Number of persons detected: {num_clusters}\n\n"
 
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  frames_folder,
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  heatmap_video_path,
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  combined_mse_plot,
 
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  correlation_heatmap
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  )
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