Opencv imwrite not saving image. isdir( 'gray' ) : os. OpenCV does have problems in saving to JPG images sometimes, try to save to BMP instead: cv::imwrite("/Users/nickporter/Desktop/Gray_Image. bmp', img2) you're trying to save to C:\Users\Niladri\Desktop<TAB>ropical_image_sig5. imread() and cv2. cv2. imwrite('. And the annoying thing with imread and imwrite is that those functions don't throw exceptions on errors, but fail silently. imwrite(path, image) where path is the complete path of the output file to which you would like to write the image numpy array. imwrite('C:\Users\Niladri\Desktop\tropical_image_sig5. mkdir( 'gray' ) To save image to local storage using Python, use cv2. jpg'. path. COLOR_BGR2GRAY) cv2. In this OpenCV tutorial, we will learn how to save an image object to a file in Python using imwrite() function. This article describes the following contents. In Python and OpenCV, you can read (load) and write (save) image files with cv2. Syntax of cv2 imwrite () The syntax of imwrite () function is: cv2. /gray/grayscale{}. Here’s an example of a complete Python script that shows how to use the OpenCV imwrite() function to read an image from disk, perform image processing operations, and save the new image: Copy OpenCV does have problems in saving to JPG images sometimes, try to save to BMP instead: cv::imwrite("/Users/nickporter/Desktop/Gray_Image. We go through an example of applying transformations to an image object, and saving the image. Images are read as NumPy array ndarray. cvtColor(image, cv2. imwrite () function on OpenCV library. bmp. format(count), image_gray) count += 1. Here’s an example of a complete Python script that shows how to use the OpenCV imwrite() function to read an image from disk, perform image processing operations, and save the new image: Copy. Instead you may use much easier: if not os. imwrite returns False. imwrite(). bmp", cvImage); Also, before this, make sure you image cvImage is valid. imwrite () returns a boolean value. You can check it by showing the image first: namedWindow("image", WINDOW_AUTOSIZE); cv2. image_gray = cv2. peklwerkmoijttjswwptoxejymshvplvacwanifaojmizdfk