From a6fef0becb2da9f422c1d89376acae2ee140f5cd Mon Sep 17 00:00:00 2001
From: Pranav Srivastava <40683895+pranavsdev@users.noreply.github.com>
Date: Sun, 28 Feb 2021 03:18:43 +0100
Subject: [PATCH] line 311: code fix suggestion for webcam input

existing code results in error:

AttributeError: __enter__
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
---
 docs/solutions/face_mesh.md | 28 +++++++++++++---------------
 1 file changed, 13 insertions(+), 15 deletions(-)

diff --git a/docs/solutions/face_mesh.md b/docs/solutions/face_mesh.md
index 0c620120c..01d808a48 100644
--- a/docs/solutions/face_mesh.md
+++ b/docs/solutions/face_mesh.md
@@ -308,15 +308,13 @@ with mp_face_mesh.FaceMesh(
 # For webcam input:
 drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
 cap = cv2.VideoCapture(0)
-with mp_face_mesh.FaceMesh(
-    min_detection_confidence=0.5,
-    min_tracking_confidence=0.5) as face_mesh:
-  while cap.isOpened():
+face_mesh = mp_face_mesh.FaceMesh(min_detection_confidence=0.5, min_tracking_confidence=0.5)
+while cap.isOpened():
     success, image = cap.read()
     if not success:
-      print("Ignoring empty camera frame.")
-      # If loading a video, use 'break' instead of 'continue'.
-      continue
+        print("Ignoring empty camera frame.")
+        # If loading a video, use 'break' instead of 'continue'.
+        continue
 
     # Flip the image horizontally for a later selfie-view display, and convert
     # the BGR image to RGB.
@@ -330,16 +328,16 @@ with mp_face_mesh.FaceMesh(
     image.flags.writeable = True
     image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
     if results.multi_face_landmarks:
-      for face_landmarks in results.multi_face_landmarks:
-        mp_drawing.draw_landmarks(
-            image=image,
-            landmark_list=face_landmarks,
-            connections=mp_face_mesh.FACE_CONNECTIONS,
-            landmark_drawing_spec=drawing_spec,
-            connection_drawing_spec=drawing_spec)
+        for face_landmarks in results.multi_face_landmarks:
+            mp_drawing.draw_landmarks(
+                image=image,
+                landmark_list=face_landmarks,
+                connections=mp_face_mesh.FACE_CONNECTIONS,
+                landmark_drawing_spec=drawing_spec,
+                connection_drawing_spec=drawing_spec)
     cv2.imshow('MediaPipe FaceMesh', image)
     if cv2.waitKey(5) & 0xFF == 27:
-      break
+        break
 cap.release()
 ```