首页 > 解决方案 > 我可以使用什么来在手机上实时运行带有人脸识别的代码?

问题描述

我想将此代码改编为我的手机。我想知道是否可以使用某些库(例如 Kivy)使用手机的摄像头在手机上运行代码。我的 IP 网络摄像头无法正常工作。我需要这段代码才能在手机上工作,当悬停在一个人的脸上时,它会被 open cv 发现并能够显示数据库中的人的名字。

import numpy as np
import cv2
import pickle

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt2.xml')
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read("trainner.yml")

labels = {"person_name: 1"}
with open("labels.picle", 'rb') as f:
    og_labels = pickle.load(f)
    labels = {v:k for k,v in og_labels.items()}

cap = cv2.VideoCapture(0)

while(True):
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, scaleFactor= 1.5, minNeighbors=5)
    for(x, y, w, h) in faces:
        #print(x, y, w, h)
        roi_gray = gray[y:y+h, x:x+w] #(ycord_start, ycord_end)
        roi_color = frame[y:y+h, x:x+w]

        #recognize
        id_, conf = recognizer.predict(roi_gray)
        if conf>= 45: #and conf <= 85:
            print(id_)
            print(labels[id_])
            font = cv2.FONT_HERSHEY_SIMPLEX
            name = labels[id_]
            color = (255, 255, 255)
            stroke = 2
            cv2.putText(frame, name, (x, y), font, 1, color, stroke, cv2.LINE_AA)

        img_item = "my-image.png"
        cv2.imwrite(img_item, roi_gray)

        color = (255, 0, 0) #BGR 0-255
        stroke = 2 #зменяемо
        end_cord_x = x + w
        end_cord_y = y + h
        cv2.rectangle(frame, (x,y), (end_cord_x, end_cord_y), color, stroke)

    cv2.imshow('frame', frame)
    if cv2.waitKey(20) & 0xFF == ord('q'):
        break


cap.release()
cv2.destroyAllWindows()

标签: pythonpython-3.xnumpyopencvpickle

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