python code sharing for getting faces
This article mainly shares with you the code sharing of python to obtain faces. I hope that everyone can complete the function of python to obtain faces based on this article.
usage：python getface.py src out
# -*- codeing: utf-8 -*-
import sys
import os
import cv2
import dlib
input_dir = sys.argv[1]
output_dir = sys.argv[2]
print(input_dir)
print(output_dir)
size = 64
if not os.path.exists(output_dir):
os.makedirs(output_dir)
# 使用dlib自带的frontal_face_detector作为我们的特征提取器
detector = dlib.get_frontal_face_detector()
index = 1
for (path, dirnames, filenames) in os.walk(input_dir):
for filename in filenames:
if filename.endswith('.jpg'):
print('Being processed picture %s' % index)
img_path = path + '/' + filename
# 从文件读取图片
img = cv2.imread(img_path)
# 转为灰度图片
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 使用detector进行人脸检测 dets为返回的结果
dets = detector(gray_img, 1)
# 使用enumerate 函数遍历序列中的元素以及它们的下标
# 下标i即为人脸序号
# left：人脸左边距离图片左边界的距离 ；right：人脸右边距离图片左边界的距离
# top：人脸上边距离图片上边界的距离 ；bottom：人脸下边距离图片上边界的距离
for i, d in enumerate(dets):
x1 = d.top() if d.top() > 0 else 0
y1 = d.bottom() if d.bottom() > 0 else 0
x2 = d.left() if d.left() > 0 else 0
y2 = d.right() if d.right() > 0 else 0
# img[y:y+h,x:x+w]
face = img[x1:y1, x2:y2]
# 调整图片的尺寸
face = cv2.resize(face, (size, size))
#cv2.imshow('image', face)
# 保存图片
cv2.imwrite(output_dir + '/' + str(index) + '.jpg', face)
index += 1
key = cv2.waitKey(30) & 0xff
if key == 27:
sys.exit(0) # -*- codeing: utf-8 -*-Related recommendations:
Example detailed explanation of Python face recognition
Implementation method of face detection in JavaScript
Example of using OpenCV for face detection in python
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