基于的OPENCV人脸检测与识别（Python）

import cv2
import sys
import os
import errno
import numpy as np

def read_images(path,sz=None):
	c=0
	X,y = [],[]
	for dirname, dirnames, filenames in os.walk(path):
		for subdirname in dirnames:
			subject_path = os.path.join(dirname,subdirname)
			for filename in os.listdir(subject_path):
				if (filename == ".directory"):
					continue
				filepath = os.path.join(subject_path, filename)
				im = cv2.imread(filepath, cv2.IMREAD_GRAYSCALE)
				
				#resize to given size
				if (sz is not None):
					im = cv2.resize(im,(200,200))
				X.append(np.asarray(im, dtype = np.uint8))
				y.append(c)
			c = c + 1
	return [X, y]
	
def face_rec():
	names = ['Jack','Amy','Paul']
	
	[X,y] = read_images('.\data')
	print(y)
	if (X is None):
		print("Error!No data!")
		sys.exit()
	y = np.asarray(y, dtype = np.int32)
	
	model = cv2.face.EigenFaceRecognizer_create()
	model.train(np.asarray(X), np.asarray(y))
	camera = cv2.VideoCapture(0)
	face_cascade = cv2.CascadeClassifier('./cascades/haarcascade_frontalface_default.xml')
	while(True):
		read, img = camera.read()
		faces = face_cascade.detectMultiScale(img, 1.3, 5)
		for (x,y,w,h) in faces:
			img = cv2.rectangle(img, (x,y), (x+w,y+h), (255,0,0), 2)
			gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
			roi = gray[x:x+w, y:y+h]
			try:
				roi = cv2.resize(roi, (200,200), interpolation = cv2.INTER_LINEAR)
				params = model.predict(roi)
				print("Label: %s, Confidence: %.2f" % (params[0], params[1]))
				cv2.putText(img, names[params[0]],(x,y-20),cv2.FONT_HERSHEY_SIMPLEX, 1, 255, 2)
			except:
				continue
		cv2.imshow("camera",img)
		if cv2.waitKey(24) & 0xff == ord("q"):
			break
	camera.release()

if __name__ == "__main__":
	face_rec()
	cv2.waitKey(0)