OpenCV

问题 I'm using opencv and I'm able to get a pixel of an image-- a 3-dimensional tuple, via the code below. However, I'm not quite sure how to calculate the mode of the pixels values in the image. import cv2 import numpy as np import matplotlib.pyplot as plt import numpy as np import cv2 img =cv2.imread('C:\\Users\Moondra\ABEO.png') #px = img[100,100] #gets pixel value #print (px) I tried, from scipy import stats stats.mode(img)[0] But this returns an array shape of stats.mode(img)[0].shape (1, 800

问题 This question already has answers here : What is an undefined reference/unresolved external symbol error and how do I fix it? (35 answers) Closed 4 years ago . I have defined a static struct in a class. but it is resulting error as Error error LNK1120: 1 unresolved externals my header file class CornerCapturer{ static struct configValues { int block; int k_size; int thre; double k; configValues() :block(2), k_size(3), thre(200), k(0.04){} }configuration; public: void captureCorners(Mat frame)

问题 This question already has answers here : What is an undefined reference/unresolved external symbol error and how do I fix it? (35 answers) Closed 4 years ago . I have defined a static struct in a class. but it is resulting error as Error error LNK1120: 1 unresolved externals my header file class CornerCapturer{ static struct configValues { int block; int k_size; int thre; double k; configValues() :block(2), k_size(3), thre(200), k(0.04){} }configuration; public: void captureCorners(Mat frame)

问题 I write in Android Studio on Windows. And I use OpenCV in my native c++ code.When calling the function, I get this error in logcat: "OpenCV Error: Unspecified error (The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script) in cvShowImage, file /Volumes/Linux/builds/master_pack-android/opencv/modules/highgui/src/window.cpp, line 545". I found

问题 GIMP has a convenient function that allows you to convert an arbitrary color to an alpha channel. Essentially all pixels become transparent relative to how far away from the chosen color they are. I want to replicate this functionality with opencv. I tried iterating through the image: for x in range(rows): for y in range(cols): mask_img[y, x][3] = cv2.norm(img[y, x] - (255, 255, 255, 255)) But this is prohibitively expensive, it takes about 10 times longer to do that iteration than it takes

问题 import cv2 import numpy as np from matplotlib import pyplot as plt img = cv2.imread('logo.png') kernel = np.ones((5, 5), np.float32) / 25 dst = cv2.filter2D(img, -1, kernel) plt.subplot(121), plt.imshow(img), plt.title('Original') plt.xticks([]), plt.yticks([]) plt.subplot(122), plt.imshow(dst), plt.title('Averaging') plt.xticks([]), plt.yticks([]) plt.show() I was trying smoothing a picture and i didnt understand the ddepth parameter of cv2.filter2d() where the value is -1. So what does -1

问题 If I have mask like And I have a image( the size is same to the mask) like I want to hightlight the mask in the image. If I'm in other Language,I just As you can see, the result image have a transparent red show the mask. I hope implement this in OpenCV. So I write this code #include <opencv.hpp> using namespace cv; using namespace std; int main() { Mat srcImg = imread("image.jpg"); Mat mask = imread("mask.jpg", IMREAD_GRAYSCALE)>200; for(int i=0;i<srcImg.rows;i++) for(int j=0;j<srcImg.cols;j

问题 If I have mask like And I have a image( the size is same to the mask) like I want to hightlight the mask in the image. If I'm in other Language,I just As you can see, the result image have a transparent red show the mask. I hope implement this in OpenCV. So I write this code #include <opencv.hpp> using namespace cv; using namespace std; int main() { Mat srcImg = imread("image.jpg"); Mat mask = imread("mask.jpg", IMREAD_GRAYSCALE)>200; for(int i=0;i<srcImg.rows;i++) for(int j=0;j<srcImg.cols;j

问题 I am developing a image-classification project using BOW model and SVM. I want to find out the SVMs predict probability but there is no such function in opencv svm. Is there any way to do this? I want to find out the predict probability in n-class SVM. 回答1: No you can't do this with CvSVM. OpenCV's SVM implementation is based on a very old version of libsvm. Download the latest version of libsvm and use it instead. Of course you will have to write a wrapper to convert data formats. See http:/

问题 I am developing a image-classification project using BOW model and SVM. I want to find out the SVMs predict probability but there is no such function in opencv svm. Is there any way to do this? I want to find out the predict probability in n-class SVM. 回答1: No you can't do this with CvSVM. OpenCV's SVM implementation is based on a very old version of libsvm. Download the latest version of libsvm and use it instead. Of course you will have to write a wrapper to convert data formats. See http:/