Test file for resizing

src/resizer.py

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+# Required Libraries
+import cv2
+import numpy as np
+from os import listdir
+from os.path import isfile, join
+from pathlib import Path
+import argparse
+
+# Argument parsing variable declared
+ap = argparse.ArgumentParser()
+ 
+ap.add_argument("-i", "--image",
+                required=True,
+                help="Path to folder")
+ 
+args = vars(ap.parse_args())
+ 
+# Find all the images in the provided images folder
+mypath = args["D:\TOL"]
+onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))]
+images = numpy.empty(len(onlyfiles), dtype=object)
+ 
+# Iterate through every image
+# and resize all the images.
+for n in range(0, len(onlyfiles)):
+ 
+    path = join(mypath, onlyfiles[n])
+    images[n] = cv2.imread(join(mypath, onlyfiles[n]),
+                           cv2.IMREAD_UNCHANGED)
+ 
+    # Load the image in img variable
+    img = cv2.imread(path, 1)
+ 
+    # Define a resizing Scale
+    # To declare how much to resize
+    resize_scaling = 50
+    resize_width = int(img.shape[1] * resize_scaling/100)
+    resize_hieght = int(img.shape[0] * resize_scaling/100)
+    resized_dimensions = (resize_width, resize_hieght)
+ 
+    # Create resized image using the calculated dimensions
+    resized_image = cv2.resize(img, resized_dimensions,
+                               interpolation=cv2.INTER_AREA)
+ 
+    # Save the image in Output Folder
+    cv2.imwrite(
+      'output/' + str(resize_width) + str(resize_hieght) + str(n) + '_resized.jpg', resized_image)
+ 
+print("Images resized Successfully")