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 calculate_posture_score, draw_pose_landmarks
 from anomaly_detection import anomaly_detection
 from visualization import plot_mse, plot_mse_histogram, plot_mse_heatmap
-from utils import frame_to_timecode, create_annotated_video
+from utils import frame_to_timecode
 import pandas as pd
 from facenet_pytorch import MTCNN
 import torch
@@ -224,11 +224,6 @@ def process_video(video_path, anomaly_threshold, desired_fps, progress=None):
                     frame_img_with_timecode = add_timecode_to_image(frame_img, timecode)
                     anomaly_frames_posture_images.append(frame_img_with_timecode)
 
-        # Create annotated video
-        annotated_video_path = os.path.join(output_folder, "annotated_video.mp4")
-        create_annotated_video(video_path, df, mse_embeddings, largest_cluster, annotated_video_path)
-
-        
         return (
             execution_time,
             results,
@@ -246,8 +241,7 @@ def process_video(video_path, anomaly_threshold, desired_fps, progress=None):
             anomaly_faces_embeddings,
             anomaly_frames_posture_images,
             aligned_faces_folder,
-            frames_folder,
-            annotated_video_path
+            frames_folder
         )
 
 def is_frontal_face(landmarks, threshold=50):