opencv3.0

问题 I am trying to scan a passport page using the phone's camera using OpenCV. In the above image the contour marked in red is my ROI (will need a top view of that). Performing segmentation I can detect the MRZ area. And the pages should have a fixed aspect ratio. Is there a way to scale the green contour using the aspect ratio to approximate the red one? I have tried finding the corners of the green rect using approxPolyDP , and then scaling that rect and finally doing a perspective warp to get

问题 Background: I wish to use both Caffe and Digits such that I can use Caffe within the Digits framework or external to it. However, for a particular project, I require that Caffe uses OpenCV 3 and not OpenCV 2.4, which Digits installs by default. This project uses Caffe external to Digits, and does not make any use of the Digits framework. It appears that by installing Digits, my OpenCV 3 installation was "clobbered" with OpenCV 2.4, which is now causing problems within my original Caffe

问题 I'm trying to build tutorial-2-mixedprocess application (in android-studio) that came with the opencv-SDK 3.2.0. But my application crashes because of a missing mixed_sample library // Load native library after(!) OpenCV initialization System.loadLibrary("opencv_java3"); //This one is taken care in CmakeLists.txt Log.d(TAG, "Loaded the opencv"); //This line appears on the monitor System.loadLibrary("mixed_sample"); // C-R-A-S-H h h h I looked inside OpenCV-android-sdk/sdk/native/libs

问题 I am running a program in which I got the error on the title of my question. I have found an answer here that suggests to download OpenCV from github, then compile with ENABLE_OPENCL=OFF (using CMake) and use the built libs against the application. Or may be is there a way to set this flag in the program itself without modifying anything in OpenCV ? I wonder if it is possible to do that without having to remove and install again OpenCV-3.0 ? 回答1: I resolved the problem by running: sudo apt

问题 I am running a program in which I got the error on the title of my question. I have found an answer here that suggests to download OpenCV from github, then compile with ENABLE_OPENCL=OFF (using CMake) and use the built libs against the application. Or may be is there a way to set this flag in the program itself without modifying anything in OpenCV ? I wonder if it is possible to do that without having to remove and install again OpenCV-3.0 ? 回答1: I resolved the problem by running: sudo apt

问题 I tried this example from the OpenCV website: import numpy as np import cv2 from matplotlib import pyplot as plt # changed the image names from box* since the sample images were not given on the site img1 = cv2.imread('burger.jpg',0) # queryImage img2 = cv2.imread('burger.jpg',0) # trainImage # Initiate SIFT detector sift = cv2.SIFT() # find the keypoints and descriptors with SIFT kp1, des1 = sift.detectAndCompute(img1,None) kp2, des2 = sift.detectAndCompute(img2,None) # FLANN parameters

问题 I am trying to applying skeletonization on my image but it throws exception on bitwise_or function of opencv cv::threshold(input, input, 127, 255, cv::THRESH_BINARY); cv::Mat skel(input.size(), CV_8UC1, cv::Scalar(0)); cv::Mat temp(input.size(), CV_8UC1); cv::Mat element = cv::getStructuringElement(cv::MORPH_CROSS, cv::Size(3, 3)); bool done; do { cv::morphologyEx(input, temp, cv::MORPH_OPEN, element); cv::bitwise_not(temp, temp); cv::bitwise_and(input, temp, temp); cv::bitwise_or(skel, temp,

问题 I'm new to OpenCV and I'm trying to get the pixels of a circle from an image. For example, I draw a circle on a random image: import cv2 raw_img = cv2.imread('sample_picture.png') x = 50 y = 50 rad = 20 cv2.circle(raw_img,(x,y),rad,(0,255,0),-1) cv2.imshow('output', raw_img) cv2.waitKey(0) cv2.destroyAllWindows() The output shows an image with a circle. However, I want to be able to get all the pixel on the circle back in the form of an array. Is there any way to do this? I know I can get the

问题 I am trying to a write a python3-opencv3 code to read the color video and convert it to grayscale and save it back. (Trying exercises to learn python & opencv) As I am working in ubuntu, I found out cv2.VideoCapture isColor flag will not work (it works only windows) import numpy as np import cv2 cap = cv2.VideoCapture('output.avi') ret, frame = cap.read() print('ret =', ret, 'W =', frame.shape[1], 'H =', frame.shape[0], 'channel =', frame.shape[2]) gray = cv2.cvtColor(frame, cv2.COLOR

问题 I am reading a tutorial for training KNN using Opencv. The code is written for Opencv 3 but I need to use it in Opencv 2. The original training is: cv2.ml.KNearest_create().train(npaFlattenedImages, cv2.ml.ROW_SAMPLE, npaClassifications) I tried using this: cv2.KNearest().train(npaFlattenedImages, cv2.CV_ROW_SAMPLE, npaClassifications) but the error is: Unsupported index array data type (it should be 8uC1, 8sC1 or 32sC1) in function cvPreprocessIndexArray The full code is here: https://github