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Let us begin by importing the necessary modules, setting the seed to get reproducible results, and defining a function fixColor
.
Note:
By default, a color image with Red, Green, and Blue channels will be read in reverse order; ie, Blue, Green, and Red by OpenCv.
We could fix this issue by using cv2.COLOR_BGR2RGB
transformation effect on the image.
So, we shall define a function fixColor
to return the RGB form of the given image.
cv2.cvtColor()
method is used to convert an image from one color space to another.
cv2.COLOR_BGR2RGB
returns image in RGB format, which was initially in BGR format as read by cv2.imread()
.
Import numpy
as np
.
import << your code comes here >> as << your code comes here >>
Set the numpy seed:
np.random.seed(42)
Import time
.
import << your code comes here >>
Import matplotlib.pyplot
as plt
.
%matplotlib inline
import << your code comes here >> as << your code comes here >>
Import cv2
.
import << your code comes here >>
print("cv2 version:",cv2.__version__)
Define fixColor
function which takes an image as the input argument ad returns the RGB format of the image. Pass cv2.COLOR_BGR2RGB
as an input argument along with image
to the cv2.cvtColor
method.
def fixColor(image):
return(cv2.cvtColor(image, << your code comes here >>))
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