So OPEN cv, HUH! Yes! Why Not!! Okay, then. Since working with images is becoming more and more popularized, we are going to take a dive into this field, going from the basics and starting with the OPEN CV library. Which lets us do all the stuff with the images that we can imagine. In today’s post, we will explore 2 functions of Open Cv: and ; which do what their name suggests. imread imshow is used to read an image, and is used to display the images using an open cv. imread imshow Let us first import the library we need. import opencv as cv2 Now, let us explore today’s jungle of open cv and find the meaning and working of two 👑s of this jungle. imread() So, this function is used to read an image, given the path of the image is correct 🤣. im = cv2.imread("path to the image") We must know that the image read - it is read in BGR color format and not the RGB format. Behind every image is a set of pixels, so if we print the , we will get the NumPy array. im If we want to display the image and not the array, we must use function and not the print function. nd imshow What it does is it reads the pixel values and displays those based on the color channel of the image. cv2.imshow("window name", image) is the array, and ‘window name’ is any arbitrary name for the window that pops up for the displaying of images. image numpy nd Conclusion So, this is how easy is it to read and then display images using an open cv. I hope you got an understanding of these concepts. Thank you for reading and See you in the next post

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This Is How Easy it Is to Read and Display Images

Too Long; Didn't Read

M Shehzen Sidiq

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This Is How Easy it Is to Read and Display Images

Too Long; Didn't Read

M Shehzen Sidiq

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

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