9 Ocak 2023 #1 B boom166 Öğrenci Katılım 9 Ocak 2023 Mesajlar 5 Reaksiyon puanı 1 Puanları 3 Yaş 23 deneme
9 Ocak 2023 #2 V Vartgalma Öğrenci Katılım 9 Ocak 2023 Mesajlar 4 Reaksiyon puanı 0 Puanları 1 Yaş 22 #para saydırma import cv2 import numpy as np image = cv2.imread('images/1404418.jpg') gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.imshow('gray', gray) cv2.waitKey(0) ret,thresh = cv2.threshold(gray,160,255,cv2.THRESH_BINARY) cv2.imshow('thresh', thresh) cv2.waitKey(0) blur = cv2.medianBlur(thresh, 21) cv2.imshow('blur', blur) cv2.waitKey(0) circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 90,minRadius=50,maxRadius=105) #circles = cv2.HoughCircles(gray, cv.CV_HOUGH_GRADIENT, 2, 50,minRadius=30,maxRadius=70) #circles = np.uint8(np.around(circles)) for i in circles[0,:]: # draw the outer circle cv2.circle(image,(int(i[0]), int(i[1])), int(i[2]), (0, 0, 255), 2) # draw the center of the circle cv2.circle(image, (int(i[0]), int(i[1])), 2, (0, 255, 0), -1) cv2.imshow('detected circles', image) cv2.waitKey(0) cv2.destroyAllWindows()
#para saydırma import cv2 import numpy as np image = cv2.imread('images/1404418.jpg') gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.imshow('gray', gray) cv2.waitKey(0) ret,thresh = cv2.threshold(gray,160,255,cv2.THRESH_BINARY) cv2.imshow('thresh', thresh) cv2.waitKey(0) blur = cv2.medianBlur(thresh, 21) cv2.imshow('blur', blur) cv2.waitKey(0) circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 90,minRadius=50,maxRadius=105) #circles = cv2.HoughCircles(gray, cv.CV_HOUGH_GRADIENT, 2, 50,minRadius=30,maxRadius=70) #circles = np.uint8(np.around(circles)) for i in circles[0,:]: # draw the outer circle cv2.circle(image,(int(i[0]), int(i[1])), int(i[2]), (0, 0, 255), 2) # draw the center of the circle cv2.circle(image, (int(i[0]), int(i[1])), 2, (0, 255, 0), -1) cv2.imshow('detected circles', image) cv2.waitKey(0) cv2.destroyAllWindows()
9 Ocak 2023 #3 C cumbullop Öğrenci Katılım 9 Ocak 2023 Mesajlar 3 Reaksiyon puanı 0 Puanları 1 Yaş 23 Python: #para saydırma import cv2 import numpy as np image = cv2.imread('images/1404418.jpg') gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.imshow('gray', gray) cv2.waitKey(0) ret,thresh = cv2.threshold(gray,160,255,cv2.THRESH_BINARY) cv2.imshow('thresh', thresh) cv2.waitKey(0) blur = cv2.medianBlur(thresh, 21) cv2.imshow('blur', blur) cv2.waitKey(0) circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 90,minRadius=50,maxRadius=105) #circles = cv2.HoughCircles(gray, cv.CV_HOUGH_GRADIENT, 2, 50,minRadius=30,maxRadius=70) #circles = np.uint8(np.around(circles)) for i in circles[0,:]: # draw the outer circle cv2.circle(image,(int(i[0]), int(i[1])), int(i[2]), (0, 0, 255), 2) # draw the center of the circle cv2.circle(image, (int(i[0]), int(i[1])), 2, (0, 255, 0), -1) cv2.imshow('detected circles', image) cv2.waitKey(0) cv2.destroyAllWindows()
Python: #para saydırma import cv2 import numpy as np image = cv2.imread('images/1404418.jpg') gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.imshow('gray', gray) cv2.waitKey(0) ret,thresh = cv2.threshold(gray,160,255,cv2.THRESH_BINARY) cv2.imshow('thresh', thresh) cv2.waitKey(0) blur = cv2.medianBlur(thresh, 21) cv2.imshow('blur', blur) cv2.waitKey(0) circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 90,minRadius=50,maxRadius=105) #circles = cv2.HoughCircles(gray, cv.CV_HOUGH_GRADIENT, 2, 50,minRadius=30,maxRadius=70) #circles = np.uint8(np.around(circles)) for i in circles[0,:]: # draw the outer circle cv2.circle(image,(int(i[0]), int(i[1])), int(i[2]), (0, 0, 255), 2) # draw the center of the circle cv2.circle(image, (int(i[0]), int(i[1])), 2, (0, 255, 0), -1) cv2.imshow('detected circles', image) cv2.waitKey(0) cv2.destroyAllWindows()
9 Ocak 2023 #4 M mademmor Öğrenci Katılım 9 Ocak 2023 Mesajlar 2 Reaksiyon puanı 0 Puanları 1 Yaş 22 aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
9 Ocak 2023 #5 V Vartgalma Öğrenci Katılım 9 Ocak 2023 Mesajlar 4 Reaksiyon puanı 0 Puanları 1 Yaş 22 Kod: #para saydırma import cv2 import numpy as np image = cv2.imread('images/1404418.jpg') gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.imshow('gray', gray) cv2.waitKey(0) ret,thresh = cv2.threshold(gray,160,255,cv2.THRESH_BINARY) cv2.imshow('thresh', thresh) cv2.waitKey(0) blur = cv2.medianBlur(thresh, 21) cv2.imshow('blur', blur) cv2.waitKey(0) circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 90,minRadius=50,maxRadius=105) #circles = cv2.HoughCircles(gray, cv.CV_HOUGH_GRADIENT, 2, 50,minRadius=30,maxRadius=70) #circles = np.uint8(np.around(circles)) for i in circles[0,:]: # draw the outer circle cv2.circle(image,(int(i[0]), int(i[1])), int(i[2]), (0, 0, 255), 2) # draw the center of the circle cv2.circle(image, (int(i[0]), int(i[1])), 2, (0, 255, 0), -1) cv2.imshow('detected circles', image) cv2.waitKey(0) cv2.destroyAllWindows()
Kod: #para saydırma import cv2 import numpy as np image = cv2.imread('images/1404418.jpg') gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.imshow('gray', gray) cv2.waitKey(0) ret,thresh = cv2.threshold(gray,160,255,cv2.THRESH_BINARY) cv2.imshow('thresh', thresh) cv2.waitKey(0) blur = cv2.medianBlur(thresh, 21) cv2.imshow('blur', blur) cv2.waitKey(0) circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 90,minRadius=50,maxRadius=105) #circles = cv2.HoughCircles(gray, cv.CV_HOUGH_GRADIENT, 2, 50,minRadius=30,maxRadius=70) #circles = np.uint8(np.around(circles)) for i in circles[0,:]: # draw the outer circle cv2.circle(image,(int(i[0]), int(i[1])), int(i[2]), (0, 0, 255), 2) # draw the center of the circle cv2.circle(image, (int(i[0]), int(i[1])), 2, (0, 255, 0), -1) cv2.imshow('detected circles', image) cv2.waitKey(0) cv2.destroyAllWindows()
