From c70edd41663a4cbdb30c289d75ab67ebcdc3cff8 Mon Sep 17 00:00:00 2001
From: Joel <itssme3000@gmail.com>
Date: Tue, 26 Jan 2021 20:36:40 +0100
Subject: [PATCH] fixed vision documentation

---
 docs/source/lib/Vision.rst | 34 ++++++++++++++++++----------------
 1 file changed, 18 insertions(+), 16 deletions(-)

diff --git a/docs/source/lib/Vision.rst b/docs/source/lib/Vision.rst
index 736cc60..5c030d9 100644
--- a/docs/source/lib/Vision.rst
+++ b/docs/source/lib/Vision.rst
@@ -32,13 +32,14 @@ Using the Vision Module
     import cv2
     from compLib import Vision
 
-    # get newest opencv frame from camera
-    frame = Vision.Streaming.get_frame()
+    while True:
+        # get newest opencv frame from camera
+        frame = Vision.Streaming.get_frame()
 
-    # do some processing with the frame.....
+        # do some processing with the frame.....
 
-    # publish frame to streaming server
-    Vision.Streaming.publish_frame(frame)
+        # publish frame to streaming server
+        Vision.Streaming.publish_frame(frame)
 
 Connect the raspberry pi to your internet and view the stream at: "http://your_raspi_ip:9898/". This should display
 your raspberry pi camera. Note: the stream will lag a little bit BUT the processing of the image will be done in
@@ -68,22 +69,23 @@ For testing you can point it at this image:
     import cv2
     from compLib import Vision
 
-    # get newest opencv frame from camera
-    frame = Vision.Streaming.get_frame()
+    while True:
+        # get newest opencv frame from camera
+        frame = Vision.Streaming.get_frame()
 
-    criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
+        criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
 
-    # convert image to grayscale image
-    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+        # convert image to grayscale image
+        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 
-    # find the chessboard corners
-    ret, corners = cv2.findChessboardCorners(gray, (6, 9), None)
+        # find the chessboard corners
+        ret, corners = cv2.findChessboardCorners(gray, (6, 9), None)
 
-    # draw detected chessboard position onto the image
-    cv2.drawChessboardCorners(frame,  (6, 9), corners, ret)
+        # draw detected chessboard position onto the image
+        cv2.drawChessboardCorners(frame,  (6, 9), corners, ret)
 
-    # publish frame to streaming server
-    Vision.Streaming.publish_frame(frame)
+        # publish frame to streaming server
+        Vision.Streaming.publish_frame(frame)
 
 Connect the raspberry pi to your internet and view the stream at: "http://your_raspi_ip:9898/".