fix head movement

routes/webrtc_routes.py

@@ -89,8 +89,8 @@ def _bbox_from_landmarks(lms, w, h, pad=0.03):
     x2n, y2n = min(1.0, max(xs) + pad), min(1.0, max(ys) + pad)
     return (int(x1n*w), int(y1n*h), int(x2n*w), int(y2n*h))
 
-# Thresholds
-YAW_DEG_TRIG, PITCH_UP, PITCH_DOWN = 12, 10, 16
+# Tuned thresholds
+YAW_DEG_TRIG, PITCH_UP, PITCH_DOWN = 7, 8, 12
 DX_TRIG, DY_UP, DY_DOWN = 0.06, 0.08, 0.10
 SMOOTH_N, CAPTURE_MIN_MS = 5, 1200
 HOLD_FRAMES_HEAD, HOLD_FRAMES_NOFACE, HOLD_FRAMES_HAND = 3, 3, 5
@@ -105,7 +105,7 @@ class ProctorDetector:
     def _pose_angles(self, lms, w, h):
         try:
             pts2d = _landmarks_to_pts(lms, w, h)
-            cam = np.array([[w, 0, w/2], [0, w, h/2], [0, 0, 1]], dtype=np.float32)
+            cam = np.array([[w, 0, w/2], [0, h, h/2], [0, 0, 1]], dtype=np.float32)  # corrected camera matrix
             ok, rvec, _ = cv2.solvePnP(MODEL_3D, pts2d, cam, np.zeros((4,1)))
             if not ok: return None, None
             R, _ = cv2.Rodrigues(rvec)
@@ -124,12 +124,27 @@ class ProctorDetector:
             self.noface_streak += 1
             return "No Face", None, rgb
         self.noface_streak = 0
+
         lms = res.multi_face_landmarks[0].landmark
         yaw, pitch = self._pose_angles(lms, w, h)
         label = "Looking Forward"
-        if yaw and abs(yaw) > YAW_DEG_TRIG: label = "Looking Left" if yaw < 0 else "Looking Right"
-        if pitch and pitch > PITCH_DOWN: label = "Looking Down"
-        if pitch and -pitch > PITCH_UP: label = "Looking Up"
+
+        if yaw is not None and pitch is not None:
+            yaw *= -1  # flip sign for mirrored camera
+            if abs(yaw) > YAW_DEG_TRIG:
+                label = "Looking Left" if yaw > 0 else "Looking Right"
+            elif pitch > PITCH_DOWN:
+                label = "Looking Down"
+            elif pitch < -PITCH_UP:
+                label = "Looking Up"
+            else:
+                label = "Looking Forward"
+
+        # Debug angles
+        if time.time() - self.last_print > 1.5:
+            log("ANGLES", sid, eid, yaw=round(yaw or 0, 2), pitch=round(pitch or 0, 2), label=label)
+            self.last_print = time.time()
+
         return label, _bbox_from_landmarks(lms, w, h), rgb
 
     def detect_hands_anywhere(self, rgb):
@@ -147,7 +162,7 @@ class ProctorDetector:
 detectors = defaultdict(ProctorDetector)
 
 # ----------------------------------------------------------------------
-# CAPTURE HANDLER — NOW CALLS RAILWAY API
+# CAPTURE HANDLER — SENDS TO RAILWAY
 # ----------------------------------------------------------------------
 def _maybe_capture(student_id: str, exam_id: str, bgr, label: str):
     ok, buf = cv2.imencode(".jpg", bgr)
@@ -158,7 +173,6 @@ def _maybe_capture(student_id: str, exam_id: str, bgr, label: str):
     img_b64 = base64.b64encode(buf).decode("utf-8")
     log("CAPTURE_ENQUEUE", student_id, exam_id, label=label, bytes=len(buf))
 
-    # 👉 send to Railway backend instead of local DB
     _send_to_railway("/api/save_behavior_log", {
         "user_id": int(student_id),
         "exam_id": int(exam_id),