Created
October 24, 2018 08:11
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import glob | |
import os | |
import cv2 | |
import concurrent.futures | |
def load_and_resize(image_filename): | |
### Read in the image data | |
img = cv2.imread(image_filename) | |
### Resize the image | |
img = cv2.resize(img, (600, 600)) | |
### Create a pool of processes. By default, one is created for each CPU in your machine. | |
with concurrent.futures.ProcessPoolExecutor() as executor: | |
### Get a list of files to process | |
image_files = glob.glob("*.jpg") | |
### Process the list of files, but split the work across the process pool to use all CPUs | |
### Loop through all jpg files in the current folder | |
### Resize each one to size 600x600 | |
executor.map(load_and_resize, image_files) |
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