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GitOrigin-RevId: d4a11282d20fe4d2e137f9032cf349750030dcb9

docs/solutions/holistic.md

@@ -159,6 +159,11 @@ images to reduce jitter. Ignored if [enable_segmentation](#enable_segmentation)
 is `false` or [static_image_mode](#static_image_mode) is `true`. Default to
 `true`.
 
+#### refine_face_landmarks
+
+Whether to further refine the landmark coordinates around the eyes and lips, and
+output additional landmarks around the irises. Default to `false`.
+
 #### min_detection_confidence
 
 Minimum confidence value (`[0.0, 1.0]`) from the person-detection model for the
@@ -241,6 +246,7 @@ Supported configuration options:
 *   [smooth_landmarks](#smooth_landmarks)
 *   [enable_segmentation](#enable_segmentation)
 *   [smooth_segmentation](#smooth_segmentation)
+*   [refine_face_landmarks](#refine_face_landmarks)
 *   [min_detection_confidence](#min_detection_confidence)
 *   [min_tracking_confidence](#min_tracking_confidence)
 
@@ -256,7 +262,8 @@ IMAGE_FILES = []
 with mp_holistic.Holistic(
     static_image_mode=True,
     model_complexity=2,
-    enable_segmentation=True) as holistic:
+    enable_segmentation=True,
+    refine_face_landmarks=True) as holistic:
   for idx, file in enumerate(IMAGE_FILES):
     image = cv2.imread(file)
     image_height, image_width, _ = image.shape
@@ -350,6 +357,7 @@ Supported configuration options:
 *   [smoothLandmarks](#smooth_landmarks)
 *   [enableSegmentation](#enable_segmentation)
 *   [smoothSegmentation](#smooth_segmentation)
+*   [refineFaceLandmarks](#refineFaceLandmarks)
 *   [minDetectionConfidence](#min_detection_confidence)
 *   [minTrackingConfidence](#min_tracking_confidence)
 
@@ -421,6 +429,7 @@ holistic.setOptions({
   smoothLandmarks: true,
   enableSegmentation: true,
   smoothSegmentation: true,
+  refineFaceLandmarks: true,
   minDetectionConfidence: 0.5,
   minTrackingConfidence: 0.5
 });