coba ini:
''' Detect human skin tone and draw a boundary around it.
Useful for gesture recognition and motion tracking.
Inspired by: http://stackoverflow.com/a/14756351/1463143
Date: 08 June 2013
'''
# Required moduls
import cv2
import numpy
# Constants for finding range of skin color in YCrCb
min_YCrCb = numpy.array([0,133,77],numpy.uint8)
max_YCrCb = numpy.array([255,173,127],numpy.uint8)
# Create a window to display the camera feed
cv2.namedWindow('Camera Output')
# Get pointer to video frames from primary device
videoFrame = cv2.VideoCapture(0)
# Process the video frames
keyPressed = -1 # -1 indicates no key pressed
while(keyPressed < 0): # any key pressed has a value >= 0
# Grab video frame, decode it and return next video frame
readSucsess, sourceImage = videoFrame.read()
# Convert image to YCrCb
imageYCrCb = cv2.cvtColor(sourceImage,cv2.COLOR_BGR2YCR_CB)
# Find region with skin tone in YCrCb image
skinRegion = cv2.inRange(imageYCrCb,min_YCrCb,max_YCrCb)
# Do contour detection on skin region
contours, hierarchy = cv2.findContours(skinRegion, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# Draw the contour on the source image
for i, c in enumerate(contours):
area = cv2.contourArea(c)
if area > 1000:
cv2.drawContours(sourceImage, contours, i, (0, 255, 0), 3)
# Display the source image
cv2.imshow('Camera Output',sourceImage)
# Check for user input to close program
keyPressed = cv2.waitKey(1) # wait 1 milisecond in each iteration of while loop
# Close window and camera after exiting the while loop
cv2.destroyWindow('Camera Output')
videoFrame.release()