Update video_processing.py

video_processing.py

@@ -10,7 +10,7 @@ from face_analysis import get_face_embedding, cluster_faces, organize_faces_by_p
 from pose_analysis import pose, calculate_posture_score, draw_pose_landmarks
 from voice_analysis import get_speaker_embeddings, align_voice_embeddings, extract_audio_from_video, diarize_speakers
 from anomaly_detection import anomaly_detection
-from visualization import plot_mse, plot_mse_histogram, plot_mse_heatmap, plot_stacked_mse_heatmaps, plot_correlation_heatmap
+from visualization import plot_mse, plot_mse_histogram, plot_mse_heatmap, plot_stacked_mse_heatmaps
 from utils import frame_to_timecode
 import pandas as pd
 from facenet_pytorch import MTCNN
@@ -199,15 +199,13 @@ def process_video(video_path, anomaly_threshold, desired_fps, progress=None):
 
             stacked_heatmap = plot_stacked_mse_heatmaps(mse_embeddings, mse_posture, mse_voice, df, "Combined MSE Heatmaps")
 
-            correlation_heatmap = plot_correlation_heatmap(mse_embeddings, mse_posture, mse_voice)
-
             progress(0.95, "Finishing generating graphs")
 
         except Exception as e:
             print(f"Error details: {str(e)}")
             import traceback
             traceback.print_exc()
-            return (f"Error in video processing: {str(e)}",) + (None,) * 27
+            return (f"Error in video processing: {str(e)}",) + (None,) * 26
 
         progress(1.0, "Preparing results")
         results = f"Number of persons detected: {num_clusters}\n\n"
@@ -275,7 +273,6 @@ def process_video(video_path, anomaly_threshold, desired_fps, progress=None):
             aligned_faces_folder,
             frames_folder,
             stacked_heatmap,
-            correlation_heatmap
               
         )