From e1e81b04ee8dbdafc57d0de479a2357dd22a1103 Mon Sep 17 00:00:00 2001 From: Erick Date: Thu, 30 Jun 2022 18:14:50 +0200 Subject: [PATCH] Rename script --- src/resizer.py | 50 -------------------------------------------------- 1 file changed, 50 deletions(-) delete mode 100644 src/resizer.py diff --git a/src/resizer.py b/src/resizer.py deleted file mode 100644 index d97da28..0000000 --- a/src/resizer.py +++ /dev/null @@ -1,50 +0,0 @@ -# Required Libraries -import cv2 -import numpy as np -from os import listdir -from os.path import isfile, join -from pathlib import Path -import argparse -import numpy - -# 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["image"] -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") \ No newline at end of file