image-processing

问题 We have a image, but it's showing flipped on Google Chrome, Safari, iOS and iPhone. But image showing correctly on IE and Android. How it could be? 回答1: The image is shown rotated because it contains an Exif Orientation field which is set to "Rotate 90 CW" (value 6). This could happen if the image was rotated in software that don't also update the Exif data. Chrome, Safari et al is honoring this field, while the software that shows the image "correctly" doesn't. According to the Exif fields,

问题 We have a image, but it's showing flipped on Google Chrome, Safari, iOS and iPhone. But image showing correctly on IE and Android. How it could be? 回答1: The image is shown rotated because it contains an Exif Orientation field which is set to "Rotate 90 CW" (value 6). This could happen if the image was rotated in software that don't also update the Exif data. Chrome, Safari et al is honoring this field, while the software that shows the image "correctly" doesn't. According to the Exif fields,

问题 We have a image, but it's showing flipped on Google Chrome, Safari, iOS and iPhone. But image showing correctly on IE and Android. How it could be? 回答1: The image is shown rotated because it contains an Exif Orientation field which is set to "Rotate 90 CW" (value 6). This could happen if the image was rotated in software that don't also update the Exif data. Chrome, Safari et al is honoring this field, while the software that shows the image "correctly" doesn't. According to the Exif fields,

问题 We have a image, but it's showing flipped on Google Chrome, Safari, iOS and iPhone. But image showing correctly on IE and Android. How it could be? 回答1: The image is shown rotated because it contains an Exif Orientation field which is set to "Rotate 90 CW" (value 6). This could happen if the image was rotated in software that don't also update the Exif data. Chrome, Safari et al is honoring this field, while the software that shows the image "correctly" doesn't. According to the Exif fields,

问题 Top answer in this link How to pixelate a square image to 256 big pixels with python? uses PIL to pixelate image. Converting image from PIL to cv2.Mat is possible but I'm not allowed to use other library, and I couldn't find any good method using opencv. Is there any way to pixelate image using OpenCV library only in Python? Any sample image is fine. Solution with pixel size parameter that I can control for later adjustment would be very appreciated. 回答1: EDIT^2 With the help of himself, I

问题 I am using python and opencv to cut an image using a mask. The mask itself is quite jagged and so the resulting image becomes a bit jagged around the edges like below Jagged image Is there a way I can smooth out the edges so they look more like this without affecting the rest of the image? Smoothed edge Thanks SoS ** UPDATE ** Added the original jagged image without the annotation Original Jagged image 回答1: Here is one way using OpenCV, Numpy and Skimage. I assume you actually have an image

问题 I am using python and opencv to cut an image using a mask. The mask itself is quite jagged and so the resulting image becomes a bit jagged around the edges like below Jagged image Is there a way I can smooth out the edges so they look more like this without affecting the rest of the image? Smoothed edge Thanks SoS ** UPDATE ** Added the original jagged image without the annotation Original Jagged image 回答1: Here is one way using OpenCV, Numpy and Skimage. I assume you actually have an image

问题 I am trying to get the Statistics of image like width, height, bands, min, max, mean, stddev etc., I could find all of these but however i can't find the Bit Depth of an image. i could not find any function , is there a way for this ? 回答1: "Color depth, also known as bit depth, is either the number of bits used to indicate the color of a single pixel, in a bitmapped image or video frame buffer, or the number of bits used for each color component of a single pixel." [0] You can check it by

问题 everyone.! I am using opencv2.4.2. actually I am doing project on object detection. I tried using BackgroundSubtractorMOG model. But I am not able to load video file from my computer. While running on real time this below code for segmentation works fine. I have implemented using frame differencing method for object detection. Now I want to segment whole object from the background. I have static background. so can anybody help me in below code how to segment object from captured video. also

问题 everyone.! I am using opencv2.4.2. actually I am doing project on object detection. I tried using BackgroundSubtractorMOG model. But I am not able to load video file from my computer. While running on real time this below code for segmentation works fine. I have implemented using frame differencing method for object detection. Now I want to segment whole object from the background. I have static background. so can anybody help me in below code how to segment object from captured video. also