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opencv python reading image as RGB

Is it possible to opencv (using python) as default read an image as order of RGB ? in the opencv documentation imread method return image as order of BGR but in code imread methods return the image as RGB order ? I am not doing any converting process. Just used imread methods and show on the screen. It shows as on windows image viewer. is it possible ?

EDIT 1: my code is below. left side cv.imshow() methods and the other one plt.imshow() methods.

cv2.imshow() methods shows image as RGB and plt show it as opencv read (BGR) the image.

image_file = 'image/512-2-1001-18-RGB.jpg'
# img = imp.get_image(image_file)

img = cv2.imread(image_file)
plt.imshow(img)
plt.show()

cv2.imshow('asd', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

enter image description here

EDIT 2 : Some how opencv imshow methods is showing the image as RGB below I have attached the first pixel's value of image and next image is photoshop pixel values

enter image description here

enter image description here

EDIT 3 : below just reading image and with imshow and second image is original RGB image.

after imshow method image looks same as original image and this confused me

enter image description here

Original image in order of RGB.

enter image description here

like image 362
S. Aziz Kazdal Avatar asked Apr 29 '20 10:04

S. Aziz Kazdal


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OpenCV uses BGR image format. So, when we read an image using cv2. imread() it interprets in BGR format by default. We can use cvtColor() method to convert a BGR image to RGB and vice-versa.

Why does OpenCV use BGR instead of RGB?

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1 Answers

OpenCV is entirely consistent within itself. It reads images into Numpy arrays with the channels in BGR order, keeps the images in BGR order and its cv2.imshow() and cv2.imwrite() also expect images in BGR order. All your JPEG/PNG/BMP/TIFF files remain in their normal RGB order on disk.

Other libraries, such as PIL/Pillow, scikit-image, matplotlib, pyvips store images in conventional RGB order in memory.

So, you will only get colour issues if you mix OpenCV with any other library. If you go from/to OpenCV from any of the others, you will need to reverse the channel order. It is the same process either way, you are swapping the first and third channel:

RGBimage = BGRimage[...,::-1]

or

BGRimage = RGBimage[...,::-1]

Or, you can use OpenCV cvtColor() to do the transform:

RGBimage = cv2.cvtColor(BGRimage, cv2.COLOR_BGR2RGB)

You don't need to necessarily make a whole copy in a new variable every time. Say you read an image with OpenCV, in OpenCV BGR order obviously, and you briefly want to display it with matplotlib, you can just reverse the channels as you pass it:

# Load image with OpenCV and process in BGR order
im = cv2.imread(something)

# Briefly display with matplotlib, which will want RGB order
plt.imshow(img[...,::-1])
plt.show()

# Carry on processing in BGR order with OpenCV
...
like image 74
Mark Setchell Avatar answered Sep 20 '22 22:09

Mark Setchell