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Center Crop and Image Scaling functions in OpenCV using Python
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# Center Crop and Image Scaling functions in OpenCV | |
# Date: 11/10/2020 | |
# Written by Nandan M | |
import cv2 | |
def center_crop(img, dim): | |
"""Returns center cropped image | |
Args: | |
img: image to be center cropped | |
dim: dimensions (width, height) to be cropped | |
""" | |
width, height = img.shape[1], img.shape[0] | |
# process crop width and height for max available dimension | |
crop_width = dim[0] if dim[0]<img.shape[1] else img.shape[1] | |
crop_height = dim[1] if dim[1]<img.shape[0] else img.shape[0] | |
mid_x, mid_y = int(width/2), int(height/2) | |
cw2, ch2 = int(crop_width/2), int(crop_height/2) | |
crop_img = img[mid_y-ch2:mid_y+ch2, mid_x-cw2:mid_x+cw2] | |
return crop_img | |
def scale_image(img, factor=1): | |
"""Returns resize image by scale factor. | |
This helps to retain resolution ratio while resizing. | |
Args: | |
img: image to be scaled | |
factor: scale factor to resize | |
""" | |
return cv2.resize(img,(int(img.shape[1]*factor), int(img.shape[0]*factor))) | |
if __name__ == "__main__": | |
image = cv2.imread('Kuvempu.jpg') | |
ccrop_img = center_crop(image, (500,400)) | |
scale_img = scale_image(image, factor=1.5) | |
cv2.imwrite("Kuvempu_center_crop.jpg", ccrop_img) | |
cv2.imwrite("Kuvempu_scaled.jpg", scale_img) |
use the following code inside the above script.
import os
# source images path to be cropped
PATH = "path/to/images"
img_list = os.listdir(PATH)
# create output folder to save new cropped images
os.mkdir("output")
for img_f in img_list:
if img_f.endswith("jpg"):
img = cv2.imread(os.path.join(path,img_f))
cropped_img = center_crop(img, (500,400))
cv2.imwrite("output/image_center_crop.jpg", cropped_img)
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how i can modify it for multiple pictures in a folder ?