This guide shows you how easy it is to create a face-detection programm on a x64 Windows machine like Advantech's AIIS-1200P
In this short guide I will show you how easy it is to create a face detection script with OpenCV and Python 3 on a WIndows x64 mashine like the Advantech AIIS-1200P.
In the following snippet you can see how to setup a Basler camera within Python. Basically you can edit the same things like described in the C++ documentation of Pylon. This is just a minor demonstration.
# Simply get the first available pylon device.
first_device = py.TlFactory.GetInstance().CreateFirstDevice()
instant_camera = py.InstantCamera(first_device)
instant_camera.Open()
# You can change settings like this also in the Pylon Viewer and save them to the default profile.
instant_camera.PixelFormat = "RGB8"
instant_camera.StartGrabbing(py.GrabStrategy_LatestImages)
Now its time to use some very easy OpenCV to recognise faces. We will create a loop for this, which permanently will grab new camera images, find and mark faces in it, and finally show the result.
while True:
# Update current image in video window.
# Grab one image.
img = np.zeros((1, 1))
if instant_camera.NumReadyBuffers:
res = instant_camera.RetrieveResult(1000)
if res:
try:
if res.GrabSucceeded():
currImg = res.Array
finally:
res.Release()
faces = face_cascade.detectMultiScale(currImg, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(currImg, (x, y), (x + w, y + h), (255, 0, 0), 2)
# Display new image in video window.
cv2.imshow('Video', currImg)
# Wait 1 ms.
cv2.waitKey(1)
You can find the Sample Code on Github.
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