如何用python得到圆圈内的平均RGB值?
How to get the average RGB value inside circle with python?
我需要有关此代码的帮助。我只想获取圆的RGB值。
如何return圆形的RGB值?
prevCircle = None
dist = lambda x1,y1,x2,y2 : (x1-x2)**2+(y1-y2)**2
while True:
(grabbed, frame) = videoCapture.read()
grayFrame = cv.cvtColor(frame,cv.COLOR_BGR2GRAY)
blurFrame = cv.GaussianBlur(grayFrame,(11,11),0)
height, width, _ = frame.shape
circles = cv.HoughCircles(blurFrame ,cv.HOUGH_GRADIENT,1.2,50,param1=100,param2=30,minRadius=75,maxRadius=400)
if circles is not None:
circles = np.uint16(np.around(circles))
chosen=None
for i in circles[0 ,:]:
if chosen is None: chosen =i
if prevCircle is not None:
if dist(chosen[0],chosen[1],prevCircle[0],prevCircle[1]) <= dist(i[0],i[1],prevCircle[0],prevCircle[1]):chosen = i
cv.circle(frame,(chosen[0],chosen[1]),1,(0,100,100),3)
cv.circle(frame,(chosen[0],chosen[1]),chosen[2],(0,0,0),3)
prevCirlce = chosen
cv.imshow("Camera", frame)
这是 Python/OpenCV 中的一种方法。
从HoughCircles获取圆圈后,将圆圈画成黑底白底作为遮罩。然后将 cv2.mean() 与掩码一起使用,以在找到的圆圈内获取输入图像内的通道颜色。
输入:
import cv2
import numpy as np
# Read image
img = cv2.imread('yellow_circle.jpg')
hh, ww = img.shape[:2]
# Convert to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# get Hough circles
min_dist = int(ww/10)
circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, minDist=min_dist, param1=150, param2=20, minRadius=0, maxRadius=0)
print("circles:", circles)
# draw circles
img_circle = img.copy()
mask = np.zeros_like(gray)
for circle in circles[0]:
# draw the circle in the output image, then draw a rectangle
# corresponding to the center of the circle
(x,y,r) = circle
x = int(x)
y = int(y)
r = int(r)
cv2.circle(img_circle, (x, y), r, (0, 0, 255), 2)
cv2.circle(mask, (x, y), r, 255, -1)
# get average color with mask
ave_color = cv2.mean(img, mask=mask)[:3]
print("average circle color:", ave_color)
# save results
cv2.imwrite('yellow_circle_circle.jpg', img_circle)
cv2.imwrite('yellow_circle_mask.jpg', mask)
# show images
cv2.imshow('circle', img_circle)
cv2.imshow('mask', mask)
cv2.waitKey(0)
cv2.destroyAllWindows()
找到圈子:
蒙版图片:
数据:
circles: [[[596.5 516.5 367.1]]]
average circle color: (1.1791196817751013, 254.96112948094645, 254.88615376615763)
我需要有关此代码的帮助。我只想获取圆的RGB值。
如何return圆形的RGB值?
prevCircle = None
dist = lambda x1,y1,x2,y2 : (x1-x2)**2+(y1-y2)**2
while True:
(grabbed, frame) = videoCapture.read()
grayFrame = cv.cvtColor(frame,cv.COLOR_BGR2GRAY)
blurFrame = cv.GaussianBlur(grayFrame,(11,11),0)
height, width, _ = frame.shape
circles = cv.HoughCircles(blurFrame ,cv.HOUGH_GRADIENT,1.2,50,param1=100,param2=30,minRadius=75,maxRadius=400)
if circles is not None:
circles = np.uint16(np.around(circles))
chosen=None
for i in circles[0 ,:]:
if chosen is None: chosen =i
if prevCircle is not None:
if dist(chosen[0],chosen[1],prevCircle[0],prevCircle[1]) <= dist(i[0],i[1],prevCircle[0],prevCircle[1]):chosen = i
cv.circle(frame,(chosen[0],chosen[1]),1,(0,100,100),3)
cv.circle(frame,(chosen[0],chosen[1]),chosen[2],(0,0,0),3)
prevCirlce = chosen
cv.imshow("Camera", frame)
这是 Python/OpenCV 中的一种方法。
从HoughCircles获取圆圈后,将圆圈画成黑底白底作为遮罩。然后将 cv2.mean() 与掩码一起使用,以在找到的圆圈内获取输入图像内的通道颜色。
输入:
import cv2
import numpy as np
# Read image
img = cv2.imread('yellow_circle.jpg')
hh, ww = img.shape[:2]
# Convert to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# get Hough circles
min_dist = int(ww/10)
circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, minDist=min_dist, param1=150, param2=20, minRadius=0, maxRadius=0)
print("circles:", circles)
# draw circles
img_circle = img.copy()
mask = np.zeros_like(gray)
for circle in circles[0]:
# draw the circle in the output image, then draw a rectangle
# corresponding to the center of the circle
(x,y,r) = circle
x = int(x)
y = int(y)
r = int(r)
cv2.circle(img_circle, (x, y), r, (0, 0, 255), 2)
cv2.circle(mask, (x, y), r, 255, -1)
# get average color with mask
ave_color = cv2.mean(img, mask=mask)[:3]
print("average circle color:", ave_color)
# save results
cv2.imwrite('yellow_circle_circle.jpg', img_circle)
cv2.imwrite('yellow_circle_mask.jpg', mask)
# show images
cv2.imshow('circle', img_circle)
cv2.imshow('mask', mask)
cv2.waitKey(0)
cv2.destroyAllWindows()
找到圈子:
蒙版图片:
数据:
circles: [[[596.5 516.5 367.1]]]
average circle color: (1.1791196817751013, 254.96112948094645, 254.88615376615763)