opencv get image size
img = cv2.imread('myImage.jpg')
height, width, channels = img.shape
opencv get image size
img = cv2.imread('myImage.jpg')
height, width, channels = img.shape
cv2 resize
resized_image = cv2.resize(image, (100, 50))
cv2.resize()
import cv2
img = cv2.imread('/home/img/python.png', cv2.IMREAD_UNCHANGED)
print('Original Dimensions : ', img.shape)
scale_percent = 60 # percent of original size
width = int(img.shape[1] * scale_percent / 100)
height = int(img.shape[0] * scale_percent / 100)
dim = (width, height)
# resize image
resized = cv2.resize(img, dim, interpolation = cv2.INTER_AREA)
print('Resized Dimensions : ',resized.shape)
cv2.imshow("Resized image", resized)
cv2.waitKey(0)
cv2.destroyAllWindows()
python opencv imresize
im = cv2.resize(im, None, fx=1/3, fy=1/3, interpolation=cv2.INTER_AREA)
opencv python shrink image
import cv2
src = cv2.imread('D:/cv2-resize-image-original.png', cv2.IMREAD_UNCHANGED)
#percent by which the image is resized
scale_percent = 50
#calculate the 50 percent of original dimensions
width = int(src.shape[1] * scale_percent / 100)
height = int(src.shape[0] * scale_percent / 100)
# dsize
dsize = (width, height)
# resize image
output = cv2.resize(src, dsize)
cv2.imwrite('D:/cv2-resize-image-50.png',output)
opencv resize image
cv2.resize(src, dsize[, dst[, fx[, fy[, interpolation]]]])
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