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#!/usr/bin/python3
# Copyright (c) 2019, Wind River Systems, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
import numpy as np
import cv2 as cv
import argparse
from tensorflow_for_poets.label_image_lite import label_image
face_cascade = cv.CascadeClassifier('/usr/share/opencv4/haarcascades/haarcascade_frontalface_default.xml')
eye_cascade = cv.CascadeClassifier('/usr/share/opencv4/haarcascades/haarcascade_eye.xml')
def _face_detection(img):
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(img, 1.3, 5)
i = 0
for (x,y,w,h) in faces:
if (x > 50 and y > 50):
image = "/tmp/face_%d.jpg" % i
cv.imwrite(image, img[y-50:y+h+50, x:x+w])
name, score = label_image(image)
if name:
text = "{} (score={:0.5f})".format(name, score)
_putText(img, text, x-50, y-50)
i+=1
cv.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
def _putText(img, text, pos_x, pos_y):
for i, line in enumerate(text.split('\n')):
y = pos_y + (i-1)*20
cv.putText(frame, line, (pos_x, y), cv.FONT_HERSHEY_SIMPLEX, 0.8, 255)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
args = parser.parse_args()
camera = cv.VideoCapture(0)
cv.namedWindow('Video',cv.WINDOW_NORMAL)
cv.resizeWindow('Video', 1024, 768)
cv.moveWindow('Video', 0, 0)
while True:
if cv.waitKey(1) & 0xFF == ord('q'):
break
rv, frame = camera.read()
if rv:
_face_detection(frame)
if args.save:
out.write(frame)
cv.imshow('Video', frame)
# When everything done, release the capture
camera.release()
if args.save:
out.release()
cv.destroyAllWindows()
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