example.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# MIT License
#
# Copyright (c) 2019 Iván de Paz Centeno
#
# 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 cv2
from mtcnn import MTCNN

detector = MTCNN()

image = cv2.cvtColor(cv2.imread("ivan.jpg"), cv2.COLOR_BGR2RGB)
result = detector.detect_faces(image)

# Result is an array with all the bounding boxes detected. We know that for 'ivan.jpg' there is only one.
bounding_box = result[0]['box']
keypoints = result[0]['keypoints']

cv2.rectangle(image,
              (bounding_box[0], bounding_box[1]),
              (bounding_box[0]+bounding_box[2], bounding_box[1] + bounding_box[3]),
              (0,155,255),
              2)

cv2.circle(image,(keypoints['left_eye']), 2, (0,155,255), 2)
cv2.circle(image,(keypoints['right_eye']), 2, (0,155,255), 2)
cv2.circle(image,(keypoints['nose']), 2, (0,155,255), 2)
cv2.circle(image,(keypoints['mouth_left']), 2, (0,155,255), 2)
cv2.circle(image,(keypoints['mouth_right']), 2, (0,155,255), 2)

cv2.imwrite("ivan_drawn.jpg", cv2.cvtColor(image, cv2.COLOR_RGB2BGR))

print(result)