问题
I want to read multiple images on a same folder using opencv (python). To do that do I need to use for loop or while loop with imread funcion? If so, how? please help me...
I want to get images into an array and then processed them one at a time through a loop.
回答1:
import glob
import cv2
images = [cv2.imread(file) for file in glob.glob("path/to/files/*.png")]
回答2:
This will get all the files in a folder in onlyfiles. And then it will read them all and store them in the array images.
from os import listdir
from os.path import isfile, join
import numpy
import cv2
mypath='/path/to/folder'
onlyfiles = [ f for f in listdir(mypath) if isfile(join(mypath,f)) ]
images = numpy.empty(len(onlyfiles), dtype=object)
for n in range(0, len(onlyfiles)):
images[n] = cv2.imread( join(mypath,onlyfiles[n]) )
回答3:
import glob
import cv2 as cv
path = glob.glob("/path/to/folder/*.jpg")
cv_img = []
for img in path:
n = cv.imread(img)
cv_img.append(n)
回答4:
This one has better time efficiency.
def read_img(img_list, img):
n = cv2.imread(img, 0)
img_list.append(n)
return img_list
path = glob.glob("*.bmp") #or jpg
list_ = []`
cv_image = [read_img(list_, img) for img in path]
回答5:
import cv2
from pathlib import Path
path=Path(".")
path=path.glob("*.jpg")
images=[]`
for imagepath in path.glob("*.jpg"):
img=cv2.imread(str(imagepath))
img=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
img=cv2.resize(img,(200,200))
images.append(img)
print(images)
回答6:
def flatten_images(folder): # Path of folder (dataset)
images=[] # list contatining all images
for filename in os.listdir(folder):
print(filename)
img=plt.imread(folder+filename) # reading image (Folder path and image name )
img=np.array(img) #
img=img.flatten() # Flatten image
images.append(img) # Appending all images in 'images' list
return(images)
来源:https://stackoverflow.com/questions/33369832/read-multiple-images-on-a-folder-in-opencv-python