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https://learnopencv.com/image-filtering-using-convolution-in-opencv/main.cpp#include #include int main() { // read image cv::Mat image = cv::imread("Lenna.png"); if (image.empty()){ std::cout (3,3) (3,3)

# Import dependenciesimport cv2# Read Imagesimg = cv2.imread('Lenna.png')# Print error message if image is nullif img is None: print('Could not read image')# Draw line on imageimageLine = img.copy()#Draw the image from point A to BpointA = (200,80)pointB = (450,80)cv2.line(imageLine, pointA, pointB, (255, 255, 0), thickness=3, lineType=cv2.LINE_AA)# Draw circleimageCircle = img.copy()# define..

CMakeLists.txtcmake_minimum_required(VERSION 3.10)project(OpenCVExample)find_package(OpenCV REQUIRED)include_directories(${OpenCV_INCLUDE_DIRS}) add_executable(main main.cpp)target_link_libraries(main ${OpenCV_LIBS}) main.cpp#include #include int main() { // read image cv::Mat image = cv::imread("Lenna.png"); if (image.empty()){ std::cout  실행하니까 다 잘나옴.

CMakeLists.txtcmake_minimum_required(VERSION 3.10)project(OpenCVExample)find_package(OpenCV REQUIRED)include_directories(${OpenCV_INCLUDE_DIRS}) add_executable(main main.cpp)target_link_libraries(main ${OpenCV_LIBS}) main.cpp#include #include int main() { // read image cv::Mat image = cv::imread("Lenna.png"); // rotated ///////////////////////////////////////////////////////////////// double a..

1.이미지 회전rotated.pyimport cv2 # Reading the imageimage = cv2.imread('Lenna.png') # dividing height and width by 2 to get the center of the imageheight, width = image.shape[:2]# get the center coordinates of the image to create the 2D rotation matrixcenter = (width/2, height/2) # using cv2.getRotationMatrix2D() to get the rotation matrixrotate_matrix = cv2.getRotationMatrix2D(center=center, angle=..

cropped.py# Import packagesimport cv2import numpy as np img = cv2.imread('Lenna.png')print(img.shape) # Print image shapecv2.imshow("original", img) # Cropping an imagecropped_image = img[80:280, 150:330] # Display cropped imagecv2.imshow("cropped", cropped_image) # Save the cropped imagecv2.imwrite("CroppedImage.jpg", cropped_image) cv2.waitKey(0)cv2.destroyAllWindows() python3 cropped.py

resizeImg.py # let's start with the Imports import cv2import numpy as np # Read the image using imread functionimage = cv2.imread('Lenna.png')cv2.imshow('Original Image', image) # let's downscale the image using new width and heightdown_width = 300down_height = 200down_points = (down_width, down_height)resized_down = cv2.resize(image, down_points, interpolation= cv2.INTER_LINEAR) # let's upscal..

python -VPython 3.10.12사용함 readWrite.py# import the cv2 libraryimport cv2 # The function cv2.imread() is used to read an image.img_grayscale = cv2.imread('test.jpg',0) # The function cv2.imshow() is used to display an image in a window.cv2.imshow('graycsale image',img_grayscale) # waitKey() waits for a key press to close the window and 0 specifies indefinite loopcv2.waitKey(0) # cv2.destroyAllWi..