Update ColorPicker.py

Author: murtazahassan

Basics/ColorPicker.py

@@ -2,30 +2,32 @@
 import numpy as np
 
 ############################################
-cap = cv2.VideoCapture(0)
+cap = cv2.VideoCapture(1)
 path = 'test.png'
 ############################################
 
 def empty(a):
     pass
 
-def stackImages(scale,imgArray):
+
+def stackImages(scale, imgArray):
     rows = len(imgArray)
     cols = len(imgArray[0])
     rowsAvailable = isinstance(imgArray[0], list)
     width = imgArray[0][0].shape[1]
     height = imgArray[0][0].shape[0]
     if rowsAvailable:
-        for x in range ( 0, rows):
+        for x in range(0, rows):
             for y in range(0, cols):
-                if imgArray[x][y].shape[:2] == imgArray[0][0].shape [:2]:
+                if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
                     imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale)
                 else:
-                    imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
-                if len(imgArray[x][y].shape) == 2: imgArray[x][y]= cv2.cvtColor( imgArray[x][y], cv2.COLOR_GRAY2BGR)
+                    imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]),
+                                                None, scale, scale)
+                if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
         imageBlank = np.zeros((height, width, 3), np.uint8)
-        hor = [imageBlank]*rows
-        hor_con = [imageBlank]*rows
+        hor = [imageBlank] * rows
+        hor_con = [imageBlank] * rows
         for x in range(0, rows):
             hor[x] = np.hstack(imgArray[x])
         ver = np.vstack(hor)
@@ -34,45 +36,44 @@ def stackImages(scale,imgArray):
             if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
                 imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale)
             else:
-                imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None,scale, scale)
+                imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None, scale, scale)
             if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
-        hor= np.hstack(imgArray)
+        hor = np.hstack(imgArray)
         ver = hor
     return ver
 
 
 cv2.namedWindow("TrackBars")
-cv2.resizeWindow("TrackBars",640,240)
-cv2.createTrackbar("Hue Min","TrackBars",0,179,empty)
-cv2.createTrackbar("Hue Max","TrackBars",179,179,empty)
-cv2.createTrackbar("Sat Min","TrackBars",0,255,empty)
-cv2.createTrackbar("Sat Max","TrackBars",255,255,empty)
-cv2.createTrackbar("Val Min","TrackBars",0,255,empty)
-cv2.createTrackbar("Val Max","TrackBars",255,255,empty)
+cv2.resizeWindow("TrackBars", 640, 240)
+cv2.createTrackbar("Hue Min", "TrackBars", 0, 179, empty)
+cv2.createTrackbar("Hue Max", "TrackBars", 179, 179, empty)
+cv2.createTrackbar("Sat Min", "TrackBars", 0, 255, empty)
+cv2.createTrackbar("Sat Max", "TrackBars", 255, 255, empty)
+cv2.createTrackbar("Val Min", "TrackBars", 0, 255, empty)
+cv2.createTrackbar("Val Max", "TrackBars", 255, 255, empty)
 
 while True:
-    #img = cv2.imread(path) #for image
-    _, img = cap.read() # for Video
-    imgHSV = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
-    h_min = cv2.getTrackbarPos("Hue Min","TrackBars")
+    # img = cv2.imread(path) #for image
+    _, img = cap.read()  # for Video
+    imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+    h_min = cv2.getTrackbarPos("Hue Min", "TrackBars")
     h_max = cv2.getTrackbarPos("Hue Max", "TrackBars")
     s_min = cv2.getTrackbarPos("Sat Min", "TrackBars")
     s_max = cv2.getTrackbarPos("Sat Max", "TrackBars")
     v_min = cv2.getTrackbarPos("Val Min", "TrackBars")
     v_max = cv2.getTrackbarPos("Val Max", "TrackBars")
     print(f'{h_min},{h_max},{s_min},{s_max},{v_min},{v_max}')
-    lower = np.array([h_min,s_min,v_min])
-    upper = np.array([h_max,s_max,v_max])
-    mask = cv2.inRange(imgHSV,lower,upper)
-    imgResult = cv2.bitwise_and(img,img,mask=mask)
-
+    lower = np.array([h_min, s_min, v_min])
+    upper = np.array([h_max, s_max, v_max])
+    mask = cv2.inRange(imgHSV, lower, upper)
+    imgResult = cv2.bitwise_and(img, img, mask=mask)
 
     # cv2.imshow("Original",img)
     # cv2.imshow("HSV",imgHSV)
     # cv2.imshow("Mask", mask)
     # cv2.imshow("Result", imgResult)
 
-    imgStack = stackImages(0.6,([img,imgHSV],[mask,imgResult]))
+    imgStack = stackImages(0.6, ([img, imgHSV], [mask, imgResult]))
     cv2.imshow("Stacked Images", imgStack)
 
     cv2.waitKey(1)