diff --git a/examples/python/facemask.py b/examples/python/facemask.py
index e69de29..67c3a4f 100644
--- a/examples/python/facemask.py
+++ b/examples/python/facemask.py
@@ -0,0 +1,77 @@
+from ctypes import *
+
+import subprocess
+import numpy as np
+import os
+import cv2
+import time
+
+os.system('go build -o pigo.so -buildmode=c-shared pigo.go')
+pigo = cdll.LoadLibrary('./pigo.so')
+os.system('rm pigo.so')
+
+MAX_NDETS = 2048
+
+# define class GoPixelSlice to map to:
+# C type struct { void *data; GoInt len; GoInt cap; }
+class GoPixelSlice(Structure):
+	_fields_ = [
+		("pixels", POINTER(c_ubyte)), ("len", c_longlong), ("cap", c_longlong),
+	]
+
+# Obtain the camera pixels and transfer them to Go trough Ctypes.
+def process_frame(pixs):
+	dets = np.zeros(3 * MAX_NDETS, dtype=np.float32)
+	pixels = cast((c_ubyte * len(pixs))(*pixs), POINTER(c_ubyte))
+	
+	# call FindFaces
+	faces = GoPixelSlice(pixels, len(pixs), len(pixs))
+	pigo.FindFaces.argtypes = [GoPixelSlice]
+	pigo.FindFaces.restype = c_void_p
+
+	# Call the exported FindFaces function from Go. 
+	ndets = pigo.FindFaces(faces)
+	data_pointer = cast(ndets, POINTER((c_longlong * 3) * MAX_NDETS))
+	
+	if data_pointer :
+		buffarr = ((c_longlong * 3) * MAX_NDETS).from_address(addressof(data_pointer.contents))
+		res = np.ndarray(buffer=buffarr, dtype=c_longlong, shape=(MAX_NDETS, 3,))
+
+		# The first value of the buffer aray represents the buffer length.
+		dets_len = res[0][0]
+		res = np.delete(res, 0, 0) # delete the first element from the array
+		dets = list(res.reshape(-1, 3))[0:dets_len]
+
+		return dets
+
+width, height = 640, 480
+# initialize the camera
+cap = cv2.VideoCapture(0)
+cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
+cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
+
+# Changing the camera resolution introduce a short delay in the camera initialization. 
+# For this reason we should delay the object detection process with a few milliseconds.
+time.sleep(0.4)
+
+while(True):
+	ret, frame = cap.read()
+	pixs = np.ascontiguousarray(frame[:, :, 1].reshape((frame.shape[0], frame.shape[1])))
+	pixs = pixs.flatten()
+
+	# Verify if camera is intialized by checking if pixel array is not empty.
+	if np.any(pixs):
+		dets = process_frame(pixs) # pixs needs to be np.uint8 array
+		if dets is not None:
+			for det in dets:
+				mask = np.zeros((height, width, 3), dtype=np.uint8)
+				mask = cv2.circle(mask, (int(det[1]), int(det[0])), int(det[2]/2.0), np.array([255, 255, 255]), -1)
+				frame = np.where(mask!=np.array([255, 255, 255]), frame, cv2.blur(frame, (30, 30), 0))
+
+	cv2.imshow('', frame)
+
+	if cv2.waitKey(5) & 0xFF == ord('q'):
+		break
+
+cap.release()
+cv2.destroyAllWindows()
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