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September 11, 2019 17:36
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import cv2 | |
import numpy as np | |
import time | |
import math | |
# Read the camera | |
cap = cv2.VideoCapture(0) | |
# Define range of colors in HSV | |
lower = {'Yellow':(15,90,95)} | |
upper = {'Yellow':(25,220,205)} | |
# Define color in BGR | |
color = {'Yellow':(0,255,255)} | |
while(1): | |
# Take each frame | |
_, frame = cap.read() | |
# Convert BGR to HSV | |
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) | |
# Define mask | |
mask = cv2.inRange(hsv, lower['Yellow'], upper['Yellow']) | |
# Find contours in the mask and initialize the current (x, y) center of the ball | |
cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)[-2] | |
center = None | |
if len(cnts) > 0: | |
# Find largest contour in the ball mask | |
contour = max(cnts, key = cv2.contourArea) | |
# Get circle info | |
((x, y), radius) = cv2.minEnclosingCircle(contour) | |
M = cv2.moments(contour) | |
if M["m00"] != 0: | |
center = (int(M["m10"] / M["m00"]), int(M["m01"] / M["m00"])) | |
else: | |
center = None | |
if center != None: | |
# Print position and contour | |
cv2.putText(frame, 'Yellow' + str(center), (int(x-radius),int(y-radius)), cv2.FONT_HERSHEY_SIMPLEX, 0.6,color['Yellow'],2) | |
cv2.drawContours(frame, [contour],0,color['Yellow'],2) | |
res = cv2.bitwise_and(frame,frame,mask= mask) | |
# Show screens | |
cv2.imshow('frame',frame) | |
cv2.imshow('mask',mask) | |
cv2.imshow('res',res) | |
k = cv2.waitKey(1) & 0xFF | |
if k == ord("q"): | |
break | |
cv2.destroyAllWindows() |
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