convert openCV image into PIL Image in Python (for use with Zbar library)

Question

I'm trying to use the Zbar library's QR code detection methods on images I extract with OpenCV's camera methods. Normally the QR code detection methods work with images (jpg, png, etc.) on my computer, but I guess the captured frames of OpenCV are different.
Is there a way of making the captured frame into a PIL Image?

Thank you.

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

With the python CV2, you can also do this:

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

I think I may have found the answer. I'll edit later with results.

OpenCV to PIL Image

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()) 

Source: http://opencv.willowgarage.com/documentation/python/cookbook.html