examples: rename quality to quality_percent

Match proto field rename from MAVSDK-Proto PR #395 review feedback.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

Author: alireza787b

examples/vision_odometry.py

@@ -34,7 +34,7 @@
 
 Dependencies:
     This example requires extended Odometry fields (reset_counter,
-    estimator_type, quality) from:
+    estimator_type, quality_percent) from:
       - MAVSDK-Proto PR #395: add odometry fields to mocap proto
       - MAVSDK-Proto PR #396: fix MavFrame enum values
       - MAVSDK PR #2791: wire up new odometry fields in C++
@@ -100,7 +100,7 @@
 def validate_odometry_api():
     """Verify that MAVSDK includes the extended Odometry fields.
 
-    This example uses reset_counter, estimator_type, and quality
+    This example uses reset_counter, estimator_type, and quality_percent
     fields added by MAVSDK-Proto PR #395. If your MAVSDK version
     does not include these, you will see a clear error here.
     """
@@ -111,7 +111,7 @@ def validate_odometry_api():
         if len(sig.parameters) <= 9:
             raise SystemExit(
                 "\n[ERROR] This example requires extended Odometry fields"
-                "\n(reset_counter, estimator_type, quality) that are not"
+                "\n(reset_counter, estimator_type, quality_percent) that are not"
                 "\npresent in your MAVSDK installation.\n"
                 "\nThese fields are introduced by:"
                 "\n  - MAVSDK-Proto PR #395"
@@ -250,7 +250,7 @@ async def vio_feed_loop(drone):
         # Build and send ODOMETRY message with extended fields:
         #   reset_counter: increment on VIO tracking reset
         #   estimator_type: VIO (visual-inertial odometry)
-        #   quality: confidence percentage (see EKF2_EV_QMIN)
+        #   quality_percent: confidence 0-100, -1=unknown (EKF2_EV_QMIN)
         odom = Odometry(
             time_usec=0,
             frame_id=Odometry.MavFrame.MOCAP_NED,
@@ -262,7 +262,7 @@ async def vio_feed_loop(drone):
             velocity_covariance=nan_cov,
             reset_counter=reset_counter,
             estimator_type=Odometry.MavEstimatorType.VIO,
-            quality=QUALITY_PERCENT,
+            quality_percent=QUALITY_PERCENT,
         )
         await drone.mocap.set_odometry(odom)
         frame_count += 1