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文件夹答案

【问题标题】：Converting images in a folder to grayscale using python and opencv and writing it to a specific folder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文件夹
【发布时间】：2018-04-15 16:46:41
【问题描述】：

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，图像被选中并转换为灰度，尽管我不知道如何将这些图像写入特定文件夹。请帮助

【问题讨论】：

顺便说一句，您可以在命令行中使用 ImageMagick 非常简单地完成此操作。将当前目录中的所有 JPEG 转换为灰度并写入名为 greyscale... mkdir greyscale; mogrify -path greyscale -colorspace gray *.jpg 的目录

标签： python opencv grayscale

【解决方案1】：

#多个图像转换

import cv2

import os,glob

from os import listdir,makedirs

from os.path import isfile,join
path = '/root/Desktop/Anil' # Source Folder
dstpath = '/root/Desktop/Anil2' # Destination Folder
try:
    makedirs(dstpath)
except:
    print ("Directory already exist, images will be written in same folder")
# Folder won't used
files = list(filter(lambda f: isfile(join(path,f)), listdir(path)))
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))
for fil in glob.glob("*.jpg"):
    try:
        image = cv2.imread(fil) 
        gray_image = cv2.cvtColor(os.path.join(path,image), cv2.COLOR_BGR2GRAY) # convert to greyscale
        cv2.imwrite(os.path.join(dstpath,fil),gray_image)
    except:
        print('{} is not converted')

【讨论】：

【解决方案2】：

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

【讨论】：

【解决方案3】：

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))

这段代码 sn-p 将从 path 获取所有图像并写入 dstpath 中提到的另一个文件夹。

【讨论】：

【解决方案4】：

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)

【讨论】：

虽然这段代码 sn-p 可以解决问题，但including an explanation 确实有助于提高帖子的质量。请记住，您是在为将来的读者回答问题，而这些人可能不知道您提出代码建议的原因。