WebJun 2, 2024 · Blur and anonymize faces with OpenCV and Python display the original image and the output image with the blurred face (s) side by side output = np.hstack ( [orig, image]) cv2.imshow ("Output", output) cv2.waitKey (0) To wrap up, the original and altered images are displayed side by side until a key is pressed (Lines 79-81). WebMar 18, 2024 · Blurring out a specific part of a video, or an image is a very common task, with multiple use cases. Often times, you want to keep the identity of a person anonymous, to make sure license plates ...
Selective remove or blur logo in image - OpenCV Q&A Forum
WebApr 29, 2024 · Image Processing with OpenCV Towards Data Science Write Sign up Sign In 500 Apologies, but something went wrong on our end. Refresh the page, check Medium ’s site status, or find something interesting to read. Aymane Hachcham 66 Followers Data Scientist & ML Engineer NLP enthusiast. Contact me: [email protected] … WebJan 30, 2024 · To resize an image, you can use the resize () method of openCV. In the resize method, you can either specify the values of x and y axis or the number of rows and columns which tells the size of the … didi greater china apk download
Smoothing with a mask - OpenCV Q&A Forum
WebIn this video, I explain in detailed steps on how to blur out a part of an image using Gaussian blur function of Python. This code can be especially useful in the automation of blurring many... WebAug 25, 2024 · The explanation for the above code block is as follows, specifically focusing on line 1: We have created a new variable image_blurred and set the variable to hold the contents of the blurred … WebMar 17, 2024 · Step 1: Import OpenCV. Step 2: Import the image. Step 3: Set the kernel size. Step 4: Call the blur () function and pass the image and kernel size as parameters. Step 5: Display the results. Original Image Example Code import cv2 image = cv2.imread("testimage.jpg") kernel_size = (7,7) image = cv2.blur(image, kernel_size) … did i got selected