Image Transformations In Open-CV

imageTransformations.py

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+import cv2 as cv
+import numpy as np
+
+img = cv.imread('Photos/KenKaneki.jpg')
+
+cv.imshow('Ken Kaneki', img)
+
+# 1. Translation
+def translate(img, x, y):
+    transMat = np.float32([[1,0,x], [0,1,y]])
+    dimensions = (img.shape[1], img.shape[0])
+    return cv.warpAffine(img, transMat, dimensions)
+
+    # -x ==> Left
+    # -y ==> Up
+    # x ==> Right
+    # y ==> Down
+
+    # translated = translate(img, 100, 100)
+translated = translate(img, -100, -100)
+cv.imshow('Translated Ken', translated)
+
+# 2. Rotation
+def rotate(img, angle, rotPoint=None):
+    (height, width) = img.shape[:2]
+
+    if rotPoint is None:
+        rotPoint = (width//2, height//2)
+
+    rotMat = cv.getRotationMatrix2D(rotPoint, angle, 1.0)
+    dimensions = (width, height)
+
+    return cv.warpAffine(img, rotMat, dimensions)
+
+    # rotated = rotate(img, 45)
+rotated = rotate(img, -45)
+cv.imshow('Rotated Ken', rotated)
+
+rotated_rotated = rotate(rotated, -45)
+cv.imshow('Doubly Rotated Ken', rotated_rotated)
+
+# 3. Resizing
+resized = cv.resize(img, (500,500), interpolation=cv.INTER_CUBIC)
+cv.imshow('Rotated', resized)
+
+# 4. Flipping
+flip = cv.flip(img, -1)
+cv.imshow('Flipped Ken', flip)
+
+# 5. Cropping
+cropped = img[200:400, 300:400]
+cv.imshow('Cropped Ken', cropped)
+
+cv.waitKey()