OpenCV

问题 How do I pass a line through the center of a contour? I have the center coordinates of my contour. 回答1: This is how you solve this question - Original image - Result image - You first need to do basic filtering and find the contour. Then - 1) Find out the area of contour (minAreaRect) 2) Extract points from the contour (BoxPoints) 3) Convert it to a numpy array (np.array) 4) Order the points (perspective.order_points) 5) Take out Top-left, Top-right, Bottom-right and Bottom-left(tl, tr, br,

问题 from imageai.Detection import ObjectDetection import os execution_path = os.getcwd() --------------------------------------------------------------------------- ImportError Traceback (most recent call last) in () ----> 1 from imageai.Detection import ObjectDetection 2 import os 3 4 execution_path = os.getcwd() ~\Anaconda3\lib\site-packages\imageai\Detection__init__.py in () ----> 1 import cv2 2 3 from imageai.Detection.keras_retinanet.models.resnet import resnet50_retinanet 4 from imageai

问题 I try to get the correct fps of a video stream from an axis or eneo camera. rtsp://192.168.0.1:554/axis-media/media.amp I use cv::VideoCapture::get(CV_CAP_PROP_FPS); but with some cameras the result is invalid for example the result is 180000 but the correct value is 25. I have check it with wireshark and see the value in the SDP Protocol is correct. Media Attribute (a): framerate:25.000000 Which Information cv::VideoCapture::get read? 回答1: OpenCV Isn't very good at this sort of thing, and

问题 I wrote a code using c++ and OpenCV: #include <iostream> #include <time.h> #include <opencv2/opencv.hpp> #include <opencv2/highgui.hpp> using namespace std; int main() { ... return 0; } then I trying to Running my code on the terminal and build using g++: g++ $(pkg-config --cflags --libs opencv) -std=c++11 yourFile.cpp -o yourFileProgram but I get this error: ... ld: warning: ignoring file /opt/homebrew/Cellar/opencv/4.5.1_2/lib/libopencv_core.dylib, building for macOS-x86_64 but attempting

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 months ago . Improve this question Just looking for some suggestions on how to approach the problem of golf ball tracking with different color balls. I've explored using absdiff() to get the difference between frames to track the balls but it also picks up the player and club movement. Also, using

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 months ago . Improve this question Just looking for some suggestions on how to approach the problem of golf ball tracking with different color balls. I've explored using absdiff() to get the difference between frames to track the balls but it also picks up the player and club movement. Also, using

问题 I'm using python (cv2) to import a .tif file with three layers, but I only seem to be able to import one layer. How can i separately import all three layers? import cv2 img = cv2.imread('LanB2_KD1P2_31603_gut_2.tif', cv2.IMREAD_COLOR) #extract blue channel blue_channel = img[:,:,0] #write blue channel to greyscale image cv2.imwrite('blue_channel.jpg',blue_channel) this extracts the blue channel from the first layer but idk how to get the other layers 回答1: You can simply use cv2.split for

问题 I am trying to apply mask on an image using opencv bitwise-not. I am able to achieve this result if I read both original and mask image in Greyscale mode, but it doesn't work on 3 channel images. I have read this thread OpenCV Python Error: error: (-215) (mtype == CV_8U || mtype == CV_8S) && _mask.sameSize(*psrc1) in function cv::binary_op but my problem isn't shapes of arrays or mask not being in uint8 format. import cv2 import numpy as np img = cv2.imread("Original.png") # original image,

问题 I want to rotate given template image at different angles (eg. 30, 60, 90, ...) and then I want to match the rotated images with a source image to detect objects using opencv functions (I'm writing C code)... How can I do this using opencv functions? Or is there any other solution? ya i'd searched SOF and that function is not passing rotated image to the main progrm. . . . . and the other code given in SOF continuously rotating the image. so using this we cant do teplate matching. is there

问题 How can I detect the rotation angle from a perspective matrix? I wrote this code ,but the resulted angle doesn't exceed 40 ... Mat mmat; mmat.create(3,3,CV_32FC1); mmat=getPerspectiveTransform(templPoints,imgPoints); cout<< mmat<<endl<<endl; float angle=acos(mmat.at<double>(0,0)); angle=(angle*180)/3.14; cout<<"angle is"<<angle<<endl; 回答1: getPerspectiveTransform returns an homography matrix which can be decomposed like this: [R11,R12,T1] [R21,R22,T2] [ P , P , 1] R represents a rotation