Testing exercises working

.vscode/launch.json

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+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Current File",
+            "type": "python",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal",
+            "justMyCode": true
+        }
+    ]
+}

example/ex1 - showImg.py

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+import numpy as np
+import cv2
+import os
+
+# Load an color image in grayscale
+img = cv2.imread(os.path.join(os.getcwd(), './res/balls.png'),0)
+cv2.imshow('image',img)
+cv2.waitKey(0)
+cv2.destroyAllWindows()

example/ex2 - showChannels.py

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+import numpy as np
+import cv2
+import copy
+
+image = cv2.imread('./res/balls.png')
+
+if image is None:
+    print("\nERROR: Could not open image\n")
+    exit()
+
+# Bepaal afmetingen en aantal kleurkanalen
+height = image.shape[0]
+width = image.shape[1]
+colors = image.shape[2]
+print ("%d pixels breed" % width)
+print ("%d pixels hoog" % height)
+print ("%d kleur kanalen" % colors)
+image_RGB = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+image_HSV = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)
+image_RGB = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+
+#RGB - Blue
+cv2.imshow('B-RGB',image_RGB[:, :, 0])
+
+# RGB - Green
+cv2.imshow('G-RGB',image_RGB[:, :, 1])
+
+# RGB Red
+cv2.imshow('R-RGB',image_RGB[:, :, 2])
+
+# HSV - H
+cv2.imshow('H-HSV',image_HSV[:, :, 0])
+
+# HSV - S
+cv2.imshow('S-HSV',image_HSV[:, :, 1])
+
+# HSV - V
+cv2.imshow('V-HSV',image_HSV[:, :, 2])
+
+cv2.imshow("HSV", image_HSV)
+cv2.imshow("RGB", image_RGB)
+cv2.imshow("Input image", image)
+
+cv2.waitKey(0)
+cv2.destroyAllWindows()

example/ex3 - showCamera.py

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+import numpy as np
+import cv2
+
+cap = cv2.VideoCapture(0)
+
+while(True):
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+    
+    # Our operations on the frame come here
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    
+    # Display the resulting frame
+    cv2.imshow('frame',gray)
+    
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# When everything done, release the capture
+cap.release()
+cv2.destroyAllWindows()

example/ex4 - deepCopy.py

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+import numpy as np
+import cv2
+import copy
+
+image = cv2.imread('./res/balls.png')
+if image is None:
+    print("\nERROR: Could not open image\n")
+    exit()
+
+# Bepaal afmetingen en aantal kleurkanalen
+height = image.shape[0]
+width = image.shape[1]
+colors = image.shape[2]
+print ("%d pixels breed" % width)
+print ("%d pixels hoog" % height)
+print ("%d kleur kanalen" % colors)
+
+#snij een selectie uit het plaatje
+# dit maakt een copy van het adres van het plaatje:
+selection1 = image[10:150, 10:200] ## Dit is een reference, python doet dit om geheugen te besparen
+# dit maakt een echte copy van een deel van het plaatje:
+selection2 = copy.deepcopy(image[10:150, 10:200]) ## Dit is een daadwerkelijke kopie op een nieuwe locatie
+# de kleuren kun je zetten door een zogenaamd tupplet van kleur (50,250,50)
+image[10:150, 10:200] = (50,250,50) ## Hier zet je de waarde van de afbeelding op groen dus ook die van de reference
+
+# Toon het beeld in een venster
+cv2.imshow("Cut-out1", selection1)
+cv2.imshow("Cut-out2", selection2)
+cv2.imshow("Input image", image)
+
+cv2.waitKey(0)
+cv2.destroyAllWindows()

example/ex5 - blue.py

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+import cv2
+import numpy as np
+
+cap = cv2.VideoCapture(0)
+
+while(1):
+    # Take each frame
+    ret, frame = cap.read()
+
+    # Convert BGR to HSV
+    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+
+    # define range of blue color in HSV
+    lower_blue = np.array([110,50,50])
+    upper_blue = np.array([130,255,255])
+
+    # Threshold the HSV image to get only blue colors
+    mask = cv2.inRange(hsv, lower_blue, upper_blue)
+
+    blue_amnt = mask.mean()
+    blue_str = ""
+    if blue_amnt < 10:
+        blue_str = "not very blue"
+    elif blue_amnt >= 10 and blue_amnt < 30:
+        blue_str = "a bit blue"
+    elif blue_amnt >= 30 and blue_amnt < 100:
+        blue_str = "very blue"
+    elif blue_amnt >= 100:
+        blue_str = "all blue"
+
+    # Bitwise-AND mask and original image
+    res = cv2.bitwise_and(frame,frame, mask= mask)
+
+    cv2.putText(res, blue_str, (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
+
+    cv2.imshow('frame',frame)
+    cv2.imshow('mask',mask)
+    cv2.imshow('res',res)
+
+    k = cv2.waitKey(5) & 0xFF
+    if k == 27:
+        break
+    
+cv2.destroyAllWindows()

example/ex6 - histogram.py

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+import numpy as np
+import cv2
+import os
+from matplotlib import pyplot as plt
+
+# Load an color image in grayscale
+img = cv2.imread(os.path.join(os.getcwd(), "./res/bwg.png"), 0)
+
+hist = cv2.calcHist([img], [0], None, [256], [0,256])
+
+# show the plotting graph of an image
+plt.plot(hist)
+plt.show()
+
+cv2.waitKey(0)
+cv2.destroyAllWindows()

example/ex7 - histogram eq.py

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+import numpy as np
+import cv2
+import os
+from matplotlib import pyplot as plt
+
+# Load an color image in grayscale
+img = cv2.imread(os.path.join(os.getcwd(), "./res/bwg.png"), 0)
+imgEq = cv2.equalizeHist(img)
+
+cv2.imshow('in',img)
+cv2.imshow('out',imgEq)
+
+hist = cv2.calcHist([img], [0], None, [256], [0,256])
+histEq = cv2.calcHist([imgEq], [0], None, [256], [0,256])
+
+
+# show the plotting graph of an image
+plt.plot(hist)
+plt.plot(histEq)
+plt.show()
+
+cv2.waitKey(0)
+cv2.destroyAllWindows()