- added implementation to create 50sec video files out of camera lifestream for every 5 seconds

- added action unit recognition to the camera stream

dataset_creation/AU_creation/AU_creation_service.py

@@ -3,11 +3,11 @@ from feat.utils.io import get_test_data_path
 from moviepy.video.io.VideoFileClip import VideoFileClip
 import os
 
-def extract_aus(path, model):
+def extract_aus(path, model, skip_frames):
   detector = Detector(au_model=model)
 
   video_prediction = detector.detect(
-      path, data_type="video", skip_frames=24*5, face_detection_threshold=0.95 # alle 5 Sekunden einbeziehen - 24 Frames pro Sekunde
+      path, data_type="video", skip_frames=skip_frames, face_detection_threshold=0.95 # alle 5 Sekunden einbeziehen - 24 Frames pro Sekunde
   )
 
   return video_prediction.aus.sum()
@@ -38,13 +38,13 @@ def split_video(path, chunk_length=120):
 
     return output_path
 
-def start(path):
-    results = []
-    clips = split_video(path)
+# def start(path):
+#     results = []
+#     clips = split_video(path)
 
-    for clip in clips:
-      results.append(extract_aus(clip, 'svm'))
-    return results
+#     for clip in clips:
+#       results.append(extract_aus(clip, 'svm', 25*5))
+#     return results
 
 if __name__ == "__main__":
   results = []
@@ -53,6 +53,6 @@ if __name__ == "__main__":
   clips = split_video(test_video_path)
 
   for clippath in clips:
-    results.append(extract_aus(clippath, 'svm'))
+    results.append(extract_aus(clippath, 'svm', 25*5))
 
   print(results)