基于YOLOv8深度学习的高密度人脸智能检测与统计系统【python源码+Pyqt5界面+数据集+训练代码】深度学习实战、目标检测

背景及意义

高密度人脸智能检测与统计系统在当今越来越注重实时监测和数据分析的社会中扮演着关键角色。该系统能够快速有效地检测和统计出特定场景中的人脸数量,为人流管理、安全监控和资源配置提供了重要信息。本文基于YOLOv8深度学习框架,通过16102张人脸相关图片,训练了一个进行人脸目标检测的模型,可以对密集人群的人脸进行实时检测。并基于此模型开发了一款带UI界面的高密度人脸智能检测与统计系统,更便于进行功能的展示。该系统是基于python与PyQT5开发的,支持图片、视频以及摄像头进行目标检测,并保存检测结果。本文提供了完整的Python代码和使用教程,给感兴趣的小伙伴参考学习,完整的代码资源文件获取方式见文末。

前言

💗博主介绍:全网粉丝10W+,、专注于深度学习,机器学习等,Python,Java、小程序技术领域和毕业项目实战✌💗

👇🏻 精彩专栏 推荐订阅👇🏻

🌟文末获取源码+数据库🌟

感兴趣的可以先收藏起来,还有大家在毕设选题,项目以及论文编写等相关问题都可以给我留言咨询,希望帮助更多的人

详细视频演示

请联系我获取更详细的演示

部分截图如下:

技术栈

Python语言;

机器学习/深度学习相关算法;

YOLOv;

Django框架;

前端框架Vue;

MySQL数据库;

前后端;

数据集

本项目提供有训练数据集

核心代码

python 复制代码
# coding:utf-8
__author__ = "ila"

from django.http import JsonResponse

from .users_model import users
from util.codes import *
from util.auth import Auth
import util.message as mes
from dj2.settings import host,port,user,passwd,dbName,hasHadoop

def users_login(request):
    if request.method in ["POST", "GET"]:
        msg = {'code': normal_code, "msg": mes.normal_code}
        req_dict = request.session.get("req_dict")
        if req_dict.get('role')!=None:
            del req_dict['role']
        
        datas = users.getbyparams(users, users, req_dict)
        if not datas:
            msg['code'] = password_error_code
            msg['msg'] = mes.password_error_code
            return JsonResponse(msg)

        req_dict['id'] = datas[0].get('id')
        return Auth.authenticate(Auth, users, req_dict)


def users_register(request):
    if request.method in ["POST", "GET"]:
        msg = {'code': normal_code, "msg": mes.normal_code}
        req_dict = request.session.get("req_dict")

        error = users.createbyreq(users, users, req_dict)
        if error != None:
            msg['code'] = crud_error_code
            msg['msg'] = error
        return JsonResponse(msg)


def users_session(request):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code,"msg":mes.normal_code, "data": {}}

        req_dict = {"id": request.session.get('params').get("id")}
        msg['data'] = users.getbyparams(users, users, req_dict)[0]

        return JsonResponse(msg)


def users_logout(request):
    if request.method in ["POST", "GET"]:
        msg = {
            "msg": "退出成功",
            "code": 0
        }

        return JsonResponse(msg)


def users_page(request):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code,
               "data": {"currPage": 1, "totalPage": 1, "total": 1, "pageSize": 10, "list": []}}
        req_dict = request.session.get("req_dict")
        tablename = request.session.get("tablename")
        try:
            __hasMessage__ = users.__hasMessage__
        except:
            __hasMessage__ = None
        if __hasMessage__ and __hasMessage__ != "否":

            if tablename != "users":
                req_dict["userid"] = request.session.get("params").get("id")
        if tablename == "users":
            msg['data']['list'], msg['data']['currPage'], msg['data']['totalPage'], msg['data']['total'], \
            msg['data']['pageSize'] = users.page(users, users, req_dict)
        else:
            msg['data']['list'], msg['data']['currPage'], msg['data']['totalPage'], msg['data']['total'], \
            msg['data']['pageSize'] = [],1,0,0,10

        return JsonResponse(msg)


def users_info(request, id_):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}

        data = users.getbyid(users, users, int(id_))
        if len(data) > 0:
            msg['data'] = data[0]
        # 浏览点击次数
        try:
            __browseClick__ = users.__browseClick__
        except:
            __browseClick__ = None

        if __browseClick__ and "clicknum" in users.getallcolumn(users, users):
            click_dict = {"id": int(id_), "clicknum": str(int(data[0].get("clicknum", 0)) + 1)}
            ret = users.updatebyparams(users, users, click_dict)
            if ret != None:
                msg['code'] = crud_error_code
                msg['msg'] = ret
        return JsonResponse(msg)


def users_save(request):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}
        req_dict = request.session.get("req_dict")
        req_dict['role'] = '管理员'
        error = users.createbyreq(users, users, req_dict)
        if error != None:
            msg['code'] = crud_error_code
            msg['msg'] = error
        return JsonResponse(msg)


def users_update(request):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}
        req_dict = request.session.get("req_dict")
        if req_dict.get("mima") and req_dict.get("password"):
            if "mima" not in users.getallcolumn(users,users):
                del req_dict["mima"]
            if "password" not in users.getallcolumn(users,users):
                del req_dict["password"]
        try:
            del req_dict["clicknum"]
        except:
            pass
        error = users.updatebyparams(users, users, req_dict)
        if error != None:
            msg['code'] = crud_error_code
            msg['msg'] = error
        return JsonResponse(msg)


def users_delete(request):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}
        req_dict = request.session.get("req_dict")

        error = users.deletes(users,
            users,
            req_dict.get("ids")
        )
        if error != None:
            msg['code'] = crud_error_code
            msg['msg'] = error
        return JsonResponse(msg)

源码获取:

文章下方名片联系我即可~

✌💗大家点赞、收藏、关注、评论啦 、查看✌💗

👇🏻获取联系方式👇🏻

精彩专栏推荐订阅:在下方专栏👇🏻

相关推荐
学习BigData6 分钟前
【使用PyQt5和YOLOv11开发电脑屏幕区域的实时分类GUI】——选择检测区域
qt·yolo·分类
Leweslyh1 小时前
物理信息神经网络(PINN)八课时教案
人工智能·深度学习·神经网络·物理信息神经网络
凡人的AI工具箱1 小时前
每天40分玩转Django:Django测试
数据库·人工智能·后端·python·django·sqlite
qyq11 小时前
Django框架与ORM框架
后端·python·django
大多_C2 小时前
BERT outputs
人工智能·深度学习·bert
企业软文推广2 小时前
企业如何选择媒体发稿平台及相关事项?媒介盒子分享
python
JM_life2 小时前
你的第一个博客-第一弹
python
No0d1es2 小时前
GESP CCF python二级编程等级考试认证真题 2024年12月
开发语言·python·青少年编程·gesp·ccf·二级
知恩呐1113 小时前
seed_everything 函数
人工智能·深度学习
大霞上仙3 小时前
selenium 在已打开浏览器上继续调试
python·selenium·测试工具