updated

AutomaticPatch/Lumenera/screenshots/rapport.py

@@ -0,0 +1,20 @@
+import cv2
+
+img = cv2.imread('screenshot2.jpg', 0)
+img = cv2.bilateralFilter(img, 4, 10, 5)
+img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
+canny = cv2.Canny(img, 40, 50)
+
+
+ret,thresh = cv2.threshold(canny,127,255,0)
+im2,contours,hierarchy = cv2.findContours(thresh, 1, 2)
+rows,cols = img.shape[:2]
+for cnt in contours:
+    M = cv2.moments(cnt)
+    if (cv2.arcLength(cnt, True) > 90) & bool(M['m00']):
+        [vx,vy,x,y] = cv2.fitLine(cnt, cv2.DIST_L2,0,0.01,0.01)
+        lefty = int((-x*vy/vx) + y)
+        righty = int(((cols-x)*vy/vx)+y)
+        cv2.line(img,(cols-1,righty),(0,lefty),(0,255,0),2)
+
+cv2.imwrite('contour.jpg', img)

AutomaticPatch/PatchClampRobot.py

@@ -635,7 +635,7 @@ def get_template_series(self, nb_images):
         for i in range(3):
             for j in range(3):
                 if (i != 1) & (j != 1):
-                    # divide template zone into 9 images
+                    # divide template zone into 8 images
                     temp = template[i * height / 4:height / 2 + i * height / 4, j * width / 4:width / 2 + j * width / 4]
 
                     # Search the tip using the number of darkest pixel in the image

AutomaticPatch/graph.py

@@ -4,4 +4,6 @@
     resistance = [i for i in f]
 
 graph = plt.plot(resistance)
+plt.ylabel('Resistance in Ohm')
+plt.xlabel('Time by tick')
 plt.show(graph)