Create ColorPicker.py

Author: murtazahassan

Diff for: Basics/ColorPicker.py

@@ -0,0 +1,78 @@
+import cv2
+import numpy as np
+
+############################################
+cap = cv2.VideoCapture(0)
+path = 'test.png'
+############################################
+
+def empty(a):
+    pass
+
+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 y in range(0, cols):
+                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)
+        imageBlank = np.zeros((height, width, 3), np.uint8)
+        hor = [imageBlank]*rows
+        hor_con = [imageBlank]*rows
+        for x in range(0, rows):
+            hor[x] = np.hstack(imgArray[x])
+        ver = np.vstack(hor)
+    else:
+        for x in range(0, rows):
+            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)
+            if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
+        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)
+
+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")
+    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)
+
+
+    # cv2.imshow("Original",img)
+    # cv2.imshow("HSV",imgHSV)
+    # cv2.imshow("Mask", mask)
+    # cv2.imshow("Result", imgResult)
+
+    imgStack = stackImages(0.6,([img,imgHSV],[mask,imgResult]))
+    cv2.imshow("Stacked Images", imgStack)
+
+    cv2.waitKey(1)