将openCV图像转换为Python中的PIL图像(用于Zbar库)

Question

我正试图在我用OpenCV的相机方法提取的图像上使用Zbar库的QR码检测方法.通常,QR码检测方法可以在我的计算机上使用图像(jpg,png等),但我猜测OpenCV的捕获帧是不同的.
有没有办法将捕获的帧变成PIL图像？

谢谢.

from PIL import Image
import zbar
import cv2.cv as cv

capture = cv.CaptureFromCAM(1)
imgSize = cv.GetSize(cv.QueryFrame(capture))
img = cv.QueryFrame(capture)

#SOMETHING GOES HERE TO TURN FRAME INTO IMAGE
img = img.convert('L')
width, height = img.size

scanner = zbar.ImageScanner()
scanner.parse_config('enable')
zbar_img = zbar.Image(width, height, 'Y800', img.tostring())

# scan the image for barcodes
scanner.scan(zbar_img)

for symbol in zbar_img:
    print symbol.data

Answer 1

使用python CV2,您还可以执行以下操作:

import Image, cv2

cap = cv2.VideoCapture(0) # says we capture an image from a webcam
_,cv2_im = cap.read()
cv2_im = cv2.cvtColor(cv2_im,cv2.COLOR_BGR2RGB)
pil_im = Image.fromarray(cv2_im)
pil_im.show()

Answer 2

我想我可能找到了答案.我稍后会用结果编辑.

OpenCV到PIL图像

import Image, cv
cv_im = cv.CreateImage((320,200), cv.IPL_DEPTH_8U, 1)
pi = Image.fromstring("L", cv.GetSize(cv_im), cv_im.tostring())

资料来源:http://opencv.willowgarage.com/documentation/python/cookbook.html