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cv = require 'opencv'
# First we create a new VideoCapture object to get
# video from the camera (0 for default camera)
camera = new cv.VideoCapture(1)
# we create a window to display the Video frames
namedWindow = new cv.NamedWindow('Video',1)
color = [255,0,0]
# We set an interval to retrieve frames from the
# video source and we get the intervalId so we can
# stop the program from the video feed window.
intervalId = setInterval(()->
# camera.read allows us to retrieve the current
# frame to be displayed in the video window.
camera.read((err, im) ->
# We can check for errors and even break the
# program execution if an error is detected here.
console.log "The err ==>#{ err }" if err
# There is no need to display the image width or Height
# but I leave this here in case anyone needs to check them.
#console.log("Width: #{im.width()}")
#console.log("height: #{im.height()}")
# Before working with the frame we need to check the image
# is already available and has a width and height greater than 0,
# otherwise it will fail when trying to do namedWindow.show()
# and the image has width or height equal or less than 0.
if im.width() > 0 and im.height() > 0
im.detectObject('./haarcascades/haarcascade_frontalface_alt.xml', {}, (err, faces) ->
for face in faces
im.rectangle([face.x, face.y], [face.x + face.width, face.y + face.height], [0,255,0], 2)
# We use the previously created namedWindow to display the
# video frame to wich we applied the blur and filter.
namedWindow.show(im)
)
# Finally we get the key pressed on the window to terminate
# execution of the program.
res = namedWindow.blockingWaitKey(0, 50)
# In this case I terminate the program if any key is pressed.
if res >= 0 then clearInterval(intervalId)
)
, 150)
|
