使用python和opencv将文件夹中的图像转换为灰度并将其写入特定的文件夹中

问题描述 投票:0回答:4
import glob
import cv2
import os
import numpy as np
from PIL import Image
images=[]
images=np.array(images)
path='C:\Users\Quantum\Desktop\test'
count=0
images = [cv2.imread(file,0) for file in glob.glob("E:\homework\Computer vision\Faces\*.jpg")]
for i in range(len(images)):
#    im = Image.fromarray(images[i])
#    cv2.imwrite(str(path) + '.jpg', images[count])
    cv2.imwrite(os.path.join(path, 'pic.jpg'), images[count])
    count+=1

[尝试从文件夹中选择所有图像,并且图像被选择并转换为灰度,尽管我不知道如何将这些图像写入特定的文件夹。请帮助

python opencv grayscale
4个回答
2
投票
import cv2
import glob, os, errno

# Replace mydir with the directory you want
mydir = r'C:\Users\Quantum\Desktop\testoutput'

#check if directory exist, if not create it
try:
    os.makedirs(mydir)
except OSError as e:
    if e.errno == errno.EEXIST:
        raise
for fil in glob.glob("*.jpg"):
    image = cv2.imread(fil) 
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # convert to greyscale
    cv2.imwrite(os.path.join(mydir,fil),gray_image) # write to location with same name

2
投票

#多次图像转换


0
投票
import cv2
from os import listdir,makedirs
from os.path import isfile,join

path = r'C:\Users\fakabbir.amin\Desktop\pdfop' # Source Folder
dstpath = r'C:\Users\fakabbir.amin\Desktop\testfolder' # Destination Folder

try:
    makedirs(dstpath)
except:
    print ("Directory already exist, images will be written in asme folder")

# Folder won't used
files = [f for f in listdir(path) if isfile(join(path,f))] 

for image in files:
    try:
        img = cv2.imread(os.path.join(path,image))
        gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
        dstPath = join(dstpath,image)
        cv2.imwrite(dstPath,gray)
    except:
        print ("{} is not converted".format(image))

0
投票
import os,cv2
path = r'C:\Users\me\Desktop\folder' # Source Folder
dstpath = r'C:\Users\me\Desktop\desfolder' # Destination Folder



try:
    makedirs(dstpath)
except:
    print ("Directory already exist, images will be written in asme folder")

# Folder won't used
files = os.listdir(path)

for image in files:
    img = cv2.imread(os.path.join(path,image))
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    cv2.imwrite(os.path.join(dstpath,image),gray)
© www.soinside.com 2019 - 2024. All rights reserved.