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 ```

Accepted Answer

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()
```

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

Solution

Problem