Working on pose threshold and fix multithreading

main.py

@@ -29,7 +29,7 @@ class AppConfig:
     output_folder: str = "output"
     landmark_model: str = "shape_predictor_68_face_landmarks.dat"
     resize_size: int = 512
-    face_resolution_threshold: int = 128
+    face_resolution_threshold: int = 80
     pose_threshold: float = 25.0
     left_eye_pos: Tuple[float, float] = (0.35, 0.4)
     date_from: str = None
@@ -71,6 +71,7 @@ def check_output_folder() -> Tuple[bool, int]:
     return len(files) == 0, len(files)
 
 def background_process(
+    max_workers: int = 1,
     progress_callback: Callable = None,
     cancel_flag: Callable = None
 ) -> List[str]:
@@ -86,7 +87,7 @@ def background_process(
     try:
         return process_faces(
             config=config,
-            max_workers=1,
+            max_workers=max_workers,
             progress_callback=progress_callback,
             cancel_flag=cancel_flag
         )
@@ -110,13 +111,10 @@ def check_connection() -> Dict[str, any]:
 def cancel() -> Dict[str, any]:
     """Cancel the current processing job."""
     global processing_thread, cancel_requested
-
     cancel_requested = True
-
     if processing_thread and processing_thread.is_alive():
         progress_info["status"] = "cancelled"
         return jsonify({"success": True, "message": "Processing cancelled."})
-    
     cancel_requested = False
     return jsonify({"success": False, "message": "No active processing to cancel."})
 
@@ -152,8 +150,7 @@ def index() -> str:
             config.pose_threshold = float(request.form.get("pose_threshold"))
             config.date_from = request.form.get("date_from")
             config.date_to = request.form.get("date_to")
-
+            max_workers = int(request.form.get("max_workers"))
-            # Video compilation options
             compile_video = request.form.get("compile_video") == "on"
             framerate = int(request.form.get("framerate", 15))
 
@@ -168,7 +165,7 @@ def index() -> str:
             # Start processing
             processing_thread = threading.Thread(
                 target=background_process,
-                args=(update_progress, lambda: cancel_requested)    
+                args=(max_workers, update_progress, lambda: cancel_requested)    
             )   
             processing_thread.start()
             result = "Processing started. Please wait and watch the progress bar below."

timelapse.py

@@ -247,6 +247,18 @@ def get_head_pose(landmarks, image):
     proj_matrix = np.hstack((rotation_matrix, translation_vector))
     _, _, _, _, _, _, euler_angles = cv2.decomposeProjectionMatrix(proj_matrix)
     pitch, yaw, roll = [float(angle) for angle in euler_angles]
+
+    # Normalize angles to be between -180 and 180 degrees
+    pitch = (pitch + 180) % 360 - 180
+    yaw = (yaw + 180) % 360 - 180
+    roll = (roll + 180) % 360 - 180
+
+    # Adjust pitch to be between -90 and 90 degrees
+    if pitch > 90:
+        pitch = 180 - pitch
+    elif pitch < -90:
+        pitch = -180 - pitch
+
     return pitch, yaw, roll
 
 
@@ -493,7 +505,7 @@ def crop_and_align_face(image, face_data, resize_size, face_resolution_threshold
         # Check if both eyes are visible
         if not check_eye_visibility(landmarks['left_eye'], landmarks['right_eye']):
             logger.info("Eyes are too closed")
-            draw_landmarks(img_np, landmarks['all_landmarks'], (x1, y1, x2, y2), "discarded/eyes_closed.jpg")
+            # draw_landmarks(img_np, landmarks['all_landmarks'], (x1, y1, x2, y2), f"discarded/eyes_closed_{face_data.get('id')}.jpg")
             return None
 
         # Get head pose
@@ -505,10 +517,10 @@ def crop_and_align_face(image, face_data, resize_size, face_resolution_threshold
 
         # Check if head pose is within acceptable range
         pitch, yaw, roll = pose
-        if abs(pitch) > pose_threshold or abs(yaw) > pose_threshold or abs(roll) > pose_threshold:
+        if  abs(yaw) > pose_threshold:
             logger.info(f"Head pose exceeds threshold: pitch={pitch:.1f}°, yaw={yaw:.1f}°, roll={roll:.1f}°")
-            draw_landmarks(img_np, landmarks['all_landmarks'], (x1, y1, x2, y2), f"discarded/pose_pitch_{pitch:.1f}_yaw_{yaw:.1f}_roll_{roll:.1f}.jpg")
+            draw_landmarks(img_np, landmarks['all_landmarks'], (x1, y1, x2, y2), f"discarded/pose_yaw_{yaw:.1f}.jpg")
-            # return None
+            return None
 
         # Get eye positions
         left_eye_center = np.mean(landmarks['left_eye'], axis=0)