opencv 人脸识别并返回置信度的服务

import cv2
import numpy as np
import os
import bottle
def fetch_face_pic(img,face_cascade):
        # 将图像灰度化
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        # 人脸检测
        faces,rl,wl = face_cascade.detectMultiScale3(gray,scaleFactor=1.1,
                minNeighbors=3,
                minSize=(30, 30),
                flags = cv2.CASCADE_SCALE_IMAGE,
                outputRejectLevels = True
                )
        #输出分数最高的
        ol = 0

        for i,(x,y,w,h) in enumerate(faces):

            if wl[i][0] > ol:
                crop = img[y:y+h, x:x+w] # 使用切片操作直接提取感兴趣的区域
                print(wl[i][0],ol,x,y,w,h)
                ol = wl[i][0]
        return crop


face_cascade = cv2.CascadeClassifier('/root/girl/opencv-master/data/haarcascades/haarcascade_frontalface_default.xml')

@bottle.route('/find/<w>', method='GET')
def do_find(w):
    jaffe_pic = '/web/maps.cc/public/girl/img/' + w
    img = cv2.imread(jaffe_pic)
    crop = fetch_face_pic(img,face_cascade)
    if crop is not None:
        cv2.imwrite("/web/maps.cc/public/girl/thumb/"+w,crop)
        return w
    return ""

bottle.run(host='0.0.0.0', port=8080)