CODEWITHSUNDEEP
pythonopencv
Cypher
Cypher

Reputation: 2581

OpenCV imshow doesn't need convert from BGR to RGB

As I'm lead to believe, OpenCV reads images in BGR colorspace ordering and we usually have to convert it back to RGB like this:

img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

But when I try to simply read an image and show it, the coloring seems fine (without the need to convert BGR to RGB):

img_bgr = cv2.imread(image_path)
cv2.imshow('BGR Image',img_bgr)
img_rgb = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2RGB)
cv2.imshow('RGB Image',img_rgb )
cv2.waitkey(0)

So is imshow() changing the ordering within the function automatically (from BGR to RGB) or the ordering has been BGR all along?

Upvotes: 107

Views: 229661

Answers (6)

Ivan M.
Ivan M.

Reputation: 547

for matplotlib we need to change BGR to RGB:

img = cv2.imread("image_name")
img = img[...,::-1]

plt.imshow(img)

Upvotes: 13

Prasad
Prasad

Reputation: 1225

opencv_image_with_bgr_channels = cv2.imread('path/to/color_image.jpg')

matplotlib_compatible_image_with_rgb_channels = opencv_image_with_bgr_channels[:,:, ::-1]

This converts BGR to RGB Channels Image by reversing the channels.

Upvotes: 2

Venugopal Bukkala
Venugopal Bukkala

Reputation: 179

Alternatively, you can use imutils.opencv2matplotlib() function, which does not need BGR to RGB conversion.

Upvotes: -2

Praks
Praks

Reputation: 77

If you do not need to use any other Image processing library (example Matplotlib's imshow), there is no need to do color scale conversion. Below code is an example, where the color scale conversion is done but when the image is loaded, it is still loaded in BGR. This conversion is not needed as the image is displayed using cv2.imshow().

import cv2

# read the image #
image = cv2.imread('<<Image Path>>')
                
image_rgb = cv2.cvtColor(image,cv2.COLOR_BGR2RGB)

# write a function to draw circles on the image #
def draw_circle(event,x,y,flags,params):
    if event == cv2.EVENT_RBUTTONDOWN:
        cv2.circle(img=image_rgb,center=(x,y),radius=100,color=(0,0,255),thickness=10)

# Open CV callbacks #
cv2.namedWindow(winname='ImageWindow')
cv2.setMouseCallback('ImageWindow',draw_circle)

# display the image till the user hits the ESC key #
while True:
    cv2.imshow('ImageWindow',image_rgb)
    if cv2.waitKey(20) & 0xFF == 27:
        break
        
cv2.destroyAllWindows()

Upvotes: 0

Satyam Singh
Satyam Singh

Reputation: 379

screen = cv2.cvtColor(screen, cv2.COLOR_RGB2BGR)

this one line code changes rgb to bgr

Upvotes: 23

w-m
w-m

Reputation: 11232

BGR and RGB are not color spaces, they are just conventions for the order of the different color channels. cv2.cvtColor(img, cv2.COLOR_BGR2RGB) doesn't do any computations (like a conversion to say HSV would), it just switches around the order. Any ordering would be valid - in reality, the three values (red, green and blue) are stacked to form one pixel. You can arrange them any way you like, as long as you tell the display what order you gave it.

OpenCV imread, imwrite and imshow indeed all work with the BGR order, so there is no need to change the order when you read an image with cv2.imread and then want to show it with cv2.imshow.

While BGR is used consistently throughout OpenCV, most other image processing libraries use the RGB ordering. If you want to use matplotlib's imshow but read the image with OpenCV, you would need to convert from BGR to RGB.

Upvotes: 118

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