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project1.py
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project1.py
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import cv2
import numpy as np
frameWidth = 640
frameHeight = 480
cap = cv2.VideoCapture(0) #0 means the default camera
cap.set(3,640) #setting height of camera
cap.set(4,480) #setting width of camera
cap.set(10,150) #setting the brightness of the webcam
myColors = [[5,107,0,19,255,255],
[133,36,0,159,156,255],
[57,76,0,100,255,255],
[90,48,0,118,255,255]]
myColorValues = [[51,153,255],
[255,0,255],
[0,255,0],
[255,0,0]]
myPoints = [] ##[x, y, colorId]
def findColor(img, myColors, myColorValues):
imgHSV = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
count = 0
newPoints = []
for color in myColors:
lower = np.array([color[0:3]])
upper = np.array([color[3:6]])
mask = cv2.inRange(imgHSV,lower,upper)
x,y = getContours(mask)
cv2.circle(imgResult,(x,y),10,myColorValues[count],cv2.FILLED)
if x!=0 and y!=0:
newPoints.append([x,y,count])
count+=1
#cv2.imshow(str(color[0]),mask)
return newPoints
def getContours(img):
contours,hierarchy = cv2.findContours(img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)
x,y,w,h = 0,0,0,0
for cnt in contours:
area = cv2.contourArea(cnt)
if area>500:
#cv2.drawContours(imgResult,cnt,-1,(255,0,0),3)
peri = cv2.arcLength(cnt,True)
approx = cv2.approxPolyDP(cnt,0.02*peri,True)
x, y, w, h =cv2.boundingRect(approx)
return x+w//2,y
def drawOnCanvas(myPoints, myColorValues):
for point in myPoints:
cv2.circle(imgResult,(point[0], point[1]),10,myColorValues[point[2]],cv2.FILLED)
while True:
success, img = cap.read()
imgResult = img.copy()
newPoints = findColor(img, myColors, myColorValues)
if len(newPoints)!=0:
for newP in newPoints:
myPoints.append(newP)
if len(myPoints)!=0:
drawOnCanvas(myPoints,myColorValues)
cv2.imshow("Result", imgResult)
if cv2.waitKey(1) & 0xFF ==ord('q'):
break