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问题 My problem is as follows: I have the picture of a half cylinder taken from a horizontal perspective and it has square grid lines on it, so I was wondering how can I implement in MATLAB to unwrap this half cylinder so all my grid cells become the same size? I know I will loose lots of resolution in the edge cells and a simple linear interpolation should do the trick, but I do not know how to tell MATLAB to do this. Also I know the geometrical properties of the cylinder, radius and height. Any

问题 My problem is as follows: I have the picture of a half cylinder taken from a horizontal perspective and it has square grid lines on it, so I was wondering how can I implement in MATLAB to unwrap this half cylinder so all my grid cells become the same size? I know I will loose lots of resolution in the edge cells and a simple linear interpolation should do the trick, but I do not know how to tell MATLAB to do this. Also I know the geometrical properties of the cylinder, radius and height. Any

问题 Hi I am looking to improve my performance with pytesseract at digit recognition. I take my raw image and split it into parts that look like this: The size can vary. To this I apply some pre-processing methods like so image = cv2.imread(im, cv2.IMREAD_GRAYSCALE) image = cv2.GaussianBlur(image, (1, 1), 0) kernel = np.ones((5, 5), np.uint8) result_img = cv2.blur(img, (2, 2), 0) result_img = cv2.dilate(result_img, kernel, iterations=1) result_img = cv2.erode(result_img, kernel, iterations=1) and

问题 Hi I am looking to improve my performance with pytesseract at digit recognition. I take my raw image and split it into parts that look like this: The size can vary. To this I apply some pre-processing methods like so image = cv2.imread(im, cv2.IMREAD_GRAYSCALE) image = cv2.GaussianBlur(image, (1, 1), 0) kernel = np.ones((5, 5), np.uint8) result_img = cv2.blur(img, (2, 2), 0) result_img = cv2.dilate(result_img, kernel, iterations=1) result_img = cv2.erode(result_img, kernel, iterations=1) and

问题 I would like to display Mat objects from OpenCV directly with JavaFX. I have seen that it is possible to convert a Mat object into a BufferedImage . But as far as I know you can't display a BufferedImage with JavaFX, so another conversion would have to take place. Is there a way to directly convert it into a data structure that is displayable by JavaFX? 回答1: I have found a direct way to convert a Mat object to a JavaFX Image object. MatOfByte byteMat = new MatOfByte(); Highgui.imencode(".bmp"

问题 I would like to display Mat objects from OpenCV directly with JavaFX. I have seen that it is possible to convert a Mat object into a BufferedImage . But as far as I know you can't display a BufferedImage with JavaFX, so another conversion would have to take place. Is there a way to directly convert it into a data structure that is displayable by JavaFX? 回答1: I have found a direct way to convert a Mat object to a JavaFX Image object. MatOfByte byteMat = new MatOfByte(); Highgui.imencode(".bmp"

问题 I would like to display Mat objects from OpenCV directly with JavaFX. I have seen that it is possible to convert a Mat object into a BufferedImage . But as far as I know you can't display a BufferedImage with JavaFX, so another conversion would have to take place. Is there a way to directly convert it into a data structure that is displayable by JavaFX? 回答1: I have found a direct way to convert a Mat object to a JavaFX Image object. MatOfByte byteMat = new MatOfByte(); Highgui.imencode(".bmp"

问题 I would like to display Mat objects from OpenCV directly with JavaFX. I have seen that it is possible to convert a Mat object into a BufferedImage . But as far as I know you can't display a BufferedImage with JavaFX, so another conversion would have to take place. Is there a way to directly convert it into a data structure that is displayable by JavaFX? 回答1: I have found a direct way to convert a Mat object to a JavaFX Image object. MatOfByte byteMat = new MatOfByte(); Highgui.imencode(".bmp"

问题 I have a list of .png (PIL) images I want to string together into an animated gif To do this, I am currently using the imageio library However, I cannot find a way to do this to produce good quality gifs As far as I know, there are two types of settings I can change. The imageio.imread() settings for reading .pngs, and the imageio.mimwrite() settings for writing gifs. According to imageio.help() , imageio.imread() has one read paramter only for PNG-PIL , ignoregamma which takes a boolean.

问题 I need to find a fast way to convert a binary file to an image. The binary file consist of a N N N matrix and I want to associate 0 to a color and 1 to a different color. I need to perform this operation to more then 1000 binary files. If possible I'd like to avoid using MatLab, is there any tool/software (for unix) that would help me? EDIT: This is exactly what I was looking for! On the bottom of the page it says: "TIP: To process many files, use a shell script to pass this URL and your