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fastest image loader featuring glob, scikitimage, opencv

yamen shahla answered on September 30, 2022 Popularity 1/10 Helpfulness 1/10

answer fastest image loader featuring glob, scikitimage, opencv

fastest image loader featuring glob, scikitimage, opencv

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#!C:\Users\test\anaconda3\envs\data_aquisition\python.exe
import glob
import argparse
from timeit import default_timer as timer
import skimage
from skimage.io import imread_collection
import cv2 


parser = argparse.ArgumentParser()
parser.add_argument('src_path', help = "diractorry that contains the ims")
parser.add_argument('extension', help = "extension of the images",choices=['jpg','png','webp'])

def load_imgs_scikit_image_collection(path:str):
    #creating a collection with the available images 
    col = imread_collection(path)
    print('loaded: ',len(col),' imgs')
    return col

def load_imgs_scikit_image_glob(path):
    imgs = []
    for img in glob.glob(path):
        imgs.append(skimage.io.imread(img))
    return imgs

def load_image_opencv(path:str):
    imgs = []
    for f in glob.glob(path):
        imgs.extend(cv2.imread(f))
    return imgs  

def load_image_opencv_glob(path:str):
    filenames = glob.glob(path)
    filenames.sort()
    images = [cv2.imread(img) for img in filenames]
    return images

def laod_images_opencv_extisions(path):
    ext = [".jpg",".gif",".png",".tga",".webp"]   # Add image formats here
    files = []
    images = []
    [files.extend(glob.glob(path + '/*' + e)) for e in ext]
    images.extend([cv2.imread(file) for file in files])
    return images

def laod_images_ski_extisions(path):
    ext = [".jpg",".gif",".png",".tga",".webp"]   # Add image formats here
    files = []
    images = []
    [files.extend(glob.glob(path + '/*' + e)) for e in ext]
    images.extend([skimage.io.imread(file) for file in files])
    return images

def show_image(img):
    window_name = 'image'
    cv2.imshow(window_name, img)
    cv2.waitKey(0) 
    cv2.destroyAllWindows() 


def main():
    args = parser.parse_args()
    dir = args.src_path+'/*.'+args.extension
    start = timer()
    imgs=load_imgs_scikit_image_collection(dir)
    end = timer()
    print('scikit_image image collection',end - start) #time 0.08381089999999991
    show_image(imgs[2])

    start = timer()
    load_imgs_scikit_image_glob(dir)
    end = timer()
    print('scikit_image and glob',end - start) #time 16.627431599999998
    # dir = args.src_path+'\\.*'+args.extension

    start = timer()
    imgs_opencv = load_image_opencv_glob(dir) #time 10.9856656
    end = timer()
    print('opencv glob',end - start) 
    show_image(imgs_opencv[2]) 

    start = timer()
    valid_imgs_opencv = laod_images_opencv_extisions(args.src_path) #time
    end = timer()
    print('opencv glob extensions',end - start) 
    show_image(valid_imgs_opencv[2])

    start = timer()
    valid_imgs_opencv = laod_images_ski_extisions(args.src_path) #time 15.939870800000001
    end = timer()
    print('scikit_image glob extensions',end - start) 
    show_image(valid_imgs_opencv[2])
    
main()

Popularity 1/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: opencv python

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Contributed on Sep 30 2022

yamen shahla

0 Answers Avg Quality 2/10

fastest image loader featuring glob, scikitimage, opencv

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