OpenCV

问题 trying to compile an iOS app with OpenCV 4.3 with contrib in a react native app. The app works fine in xcode, but as soon as I try compiling to bit code, the app fails. I've gone through several similar questions, but have not had any results and I'm hoping someone more experienced than I might have some suggestions. The .ipa file does generate and I can test it on an iPad or iPhone, but as soon as the app opens, it crashes. Here is the crash log; {"app_name":"helloOpenCV","timestamp":"2020

问题 Here are my goals. Capture video continuously until 'q; is pressed Every ten seconds save the video in created directory file Continue step two until 'q' is pressed I am executing the following code. But when creating files it's creating 6kb files and saying cannot play. I am fairly new to opencv and python. Not sure what I am missing. Running this code on pycharm with Python 3.6. Also the cv2.imshow('frame',frame) stops after ten seconds but recording is happening in background and files are

问题 I have a problem when I try to initialize a Mat object using an array allocated on the heap. This is my code: void test(){ int rows = 2; int cols = 3; float **P_array; P_array = new float*[rows]; int i; for(i = 0; i < rows; i++) P_array[i] = new float[cols]; P_array[0][0]=1.0; P_array[0][1]=2.0; P_array[0][2]=3.0; P_array[1][0]=4.0; P_array[1][1]=5.0; P_array[1][2]=6.0; float P_array2[2][3]={{1.0,2.0,3.0},{4.0,5.0,6.0}}; Mat P_m = Mat(rows, cols, CV_32FC1, &P_array); Mat P_m2 = Mat(2,3, CV

问题 I hame some image with plane which have perspective transform. I need to detect center of each white rhombus or rhombus itself. Here is examples: As I unserstand the problem can be solved by simple template matching if we rectify image, but I need to do it automatically. Is there any functions in OpenCV suitable for this task? Any other ideas? 回答1: Here are two quick tests I just did without correcting the perspective issue. Pure mathematical morphology : Extract the red channel Big white top

问题 I have a problem for writing x264 video(or single frame) on memory buffer. In opencv for images, imencode and imdecode do this task. But i want save x264 video frame for lower memory usage and sending on internet. I am able to with jpeg but jpeg size bigger than x264 video frame and quality much worser. I searched but i can't find how i write video frame on buffer. Here is the example code to taking frames on webcam import numpy as np import cv2 cap = cv2.VideoCapture(0) cap.set(3,320) cap

问题 I'm using OpenCV 2.4.0 python bindings and I found that when calculating a laplacian of an image I get different results with the cv2 API from the cv2.cv API. if I use cv2 API: im_laplacian = cv2.Laplacian(im_gray, cv2.IPL_DEPTH_32F, ksize = 3) im_laplacian is always uint8 (missing sign), and ddepth has to be IPL_DEPTH_32F or IPL_DEPTH_64F, if I try IPL_DEPTH_16S or IPL_DEPTH_32S I get an error: "OverflowError: Python int too large to convert to C long" if I use cv2.cv API: cvgray = cv

问题 I'm using OpenCV 2.4.0 python bindings and I found that when calculating a laplacian of an image I get different results with the cv2 API from the cv2.cv API. if I use cv2 API: im_laplacian = cv2.Laplacian(im_gray, cv2.IPL_DEPTH_32F, ksize = 3) im_laplacian is always uint8 (missing sign), and ddepth has to be IPL_DEPTH_32F or IPL_DEPTH_64F, if I try IPL_DEPTH_16S or IPL_DEPTH_32S I get an error: "OverflowError: Python int too large to convert to C long" if I use cv2.cv API: cvgray = cv

问题 I have a Python app which words great via Localhost on my machine. I am trying to deploy it to Heroku. However it does not seem possible to accomplish this (I have spent approx 30 hours trying now). The problem is Tesseract OCR. I am using the pytesseract wrapper, and my code utilises this. However, no matter what I try, it does not seem to be possible to use pytesseract when it is uploaded to Heroku. Could anyone either suggest how to go about deploying a Hello World Tesseract OCR Python app

问题 I am trying to use a dicom image and manipulate it using OpenCV in a Python environment. So far I have used the pydicom library to read the dicom(.dcm) image data and using the pixel array attribute to display the picture using OpenCV imshow method. But the output is just a blank window. Here is the snippet of code I am using at this moment. import numpy as np import cv2 import pydicom as dicom ds=dicom.dcmread('sample.dcm') cv2.imshow('sample image dicom',ds.pixel_array) cv2.waitkey() If i

问题 I am trying to extract numbers from in game screenshots. I'm trying to extract: 98 3430 5/10 from PIL import Image import pytesseract image="D:/img/New folder (2)/1.png" pytesseract.pytesseract.tesseract_cmd = 'C:/Program Files/Tesseract-OCR/tesseract.exe' text = pytesseract.image_to_string(Image.open(image),lang='eng',config='--psm 5') print(text) output is gibberish ‘t hl) keteeeees ek pSlaerenen JU) pgrenmnreserenny Rates B d dali eas. 5 cle aM (Sores |, S| pgranmrerererecons a cee 3 pea 3