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yolov5 web端部署进行图片和视频检测

8月前 作者：谢大旭 分类：Toy博客 阅读(35) 违法举报

这篇具有很好参考价值的文章主要介绍了yolov5 web端部署进行图片和视频检测。希望对大家有所帮助。如果存在错误或未考虑完全的地方，请大家不吝赐教，您也可以点击"举报违法"按钮提交疑问。

目录

1、思路

2、代码结构

3、代码运行

4、api接口代码

5、web ui界面

6、参考资料

7、代码分享 

1、思路

通过搭建flask微型服务器后端，以后通过vue搭建网页前端。flask是第一个第三方库。与其他模块一样，安装时可以直接使用python的pip命令实现。flask是web开发框架，简单易学，因此用flask来搭建web服务也非常简单。

在pycharm新建一个项目，命名为web2020，然后新建一个python文件，命名为main.py。在代码中输入如下代码：

from flask import  Flask    #导入Flask类
app=Flask(__name__)         #实例化并命名为app实例
if __name__=="__main__":
    app.run(port=2020,host="127.0.0.1",debug=True)   #调用run方法，设定端口号，启动服务

路由定义：

from flask import  Flask
app=Flask(__name__)

@app.route('/')
def index():
    return 'welcome to my webpage!'

if __name__=="__main__":
    app.run(port=2020,host="127.0.0.1",debug=True)

通过这种方式，实现python调用模型，然后通过web服务器进行数据输入输出，最后通过浏览器web页面进行展示。

2、代码结构

前端代码结构

yolov5 web端部署进行图片和视频检测,python,YOLO,深度学习

后端代码结构

yolov5 web端部署进行图片和视频检测,python,YOLO,深度学习

3、代码运行

yolov5 web端部署进行图片和视频检测,python,YOLO,深度学习

yolov5 web端部署进行图片和视频检测,python,YOLO,深度学习

yolov5 web端部署进行图片和视频检测,python,YOLO,深度学习

4、api接口代码

import datetime
import logging as rel_log
import os
import shutil
from datetime import timedelta
from flask import *
from flask import Flask, render_template, Response
from processor.AIDetector_pytorch import Detector

import core.main

# import camera driver
if os.environ.get('CAMERA'):
    Camera = import_module('camera_' + os.environ['CAMERA']).Camera
else:
    from camera import Camera


UPLOAD_FOLDER = r'./uploads'

ALLOWED_EXTENSIONS = set(['png', 'jpg'])
app = Flask(__name__)
app.secret_key = 'secret!'
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER

werkzeug_logger = rel_log.getLogger('werkzeug')
werkzeug_logger.setLevel(rel_log.ERROR)

# 解决缓存刷新问题
app.config['SEND_FILE_MAX_AGE_DEFAULT'] = timedelta(seconds=1)


# 添加header解决跨域
@app.after_request
def after_request(response):
    response.headers['Access-Control-Allow-Origin'] = '*'
    response.headers['Access-Control-Allow-Credentials'] = 'true'
    response.headers['Access-Control-Allow-Methods'] = 'POST'
    response.headers['Access-Control-Allow-Headers'] = 'Content-Type, X-Requested-With'
    return response

#图片检测接口
def allowed_file(filename):
    return '.' in filename and filename.rsplit('.', 1)[1] in ALLOWED_EXTENSIONS


#@app.route('/')
#def hello_world():
#    return redirect(url_for('static', filename='./index.html'))
@app.route('/')
def index():
    """Video streaming home page."""
    return render_template('index.html')
    


@app.route('/upload', methods=['GET', 'POST'])
def upload_file():
    file = request.files['file']
    print(datetime.datetime.now(), file.filename)
    #if file and allowed_file(file.filename):
    src_path = os.path.join(app.config['UPLOAD_FOLDER'], file.filename)
    file.save(src_path)
    shutil.copy(src_path, './tmp/ct')
    image_path = os.path.join('./tmp/ct', file.filename)
    pid, image_info = core.main.c_main(
        image_path, current_app.model, file.filename.rsplit('.', 1)[1])
    return jsonify({'status': 1,
                        'image_url': 'http://127.0.0.1:5003/tmp/ct/' + pid,
                        'draw_url': 'http://127.0.0.1:5003/tmp/draw/' + pid,
                        'image_info': image_info})

    #return jsonify({'status': 0})


@app.route("/download", methods=['GET'])
def download_file():
    # 需要知道2个参数, 第1个参数是本地目录的path, 第2个参数是文件名(带扩展名)
    return send_from_directory('data', 'testfile.zip', as_attachment=True)


# show photo
@app.route('/tmp/<path:file>', methods=['GET'])
def show_photo(file):
    if request.method == 'GET':
        if not file is None:
            image_data = open(f'tmp/{file}', "rb").read()
            response = make_response(image_data)
            response.headers['Content-Type'] = 'image/png'
            return response


#视频检测接口
def gen(camera):
    """Video streaming generator function."""
    while True:
        frame = camera.get_frame()
        yield (b'--frame\r\n'
               b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')


@app.route('/video_start')
def video_feed():
    """Video streaming route. Put this in the src attribute of an img tag."""
    return Response(gen(Camera()),
                    mimetype='multipart/x-mixed-replace; boundary=frame')

#视频流检测接口
#@app.route('/livestream_start')


#程序启动入口
if __name__=='__main__': 
    files = [
        'uploads', 'tmp/ct', 'tmp/draw',
        'tmp/image', 'tmp/mask', 'tmp/uploads'
    ]
    for ff in files:
        if not os.path.exists(ff):
            os.makedirs(ff)
    with app.app_context():
        current_app.model = Detector()
    app.run(host='127.0.0.1', port=5003, debug=True)

5、web ui界面

<template>
   <el-tabs stretch=true v-model="activeName" type="card" @tab-click="handleClick">
    <el-tab-pane  label="图片检测" name="first">
      <div id="Content">
    <el-dialog
      title="AI预测中"
      :visible.sync="dialogTableVisible"
      :show-close="false"
      :close-on-press-escape="false"
      :append-to-body="true"
      :close-on-click-modal="false"
      :center="true"
    >
      <el-progress :percentage="percentage"></el-progress>
      <span slot="footer" class="dialog-footer">请耐心等待约3秒钟</span>
    </el-dialog>

    <div id="CT">
      <div id="CT_image">
        <el-card
          id="CT_image_1"
          class="box-card"
          style="
            border-radius: 8px;
            width: 800px;
            height: 360px;
            margin-bottom: -30px;
          "
        >
          <div class="demo-image__preview1">
            <div
              v-loading="loading"
              element-loading-text="上传图片中"
              element-loading-spinner="el-icon-loading"
            >
              <el-image
                :src="url_1"
                class="image_1"
                :preview-src-list="srcList"
                style="border-radius: 3px 3px 0 0"
              >
                <div slot="error">
                  <div slot="placeholder" class="error">
                    <el-button
                      v-show="showbutton"
                      type="primary"
                      icon="el-icon-upload"
                      class="download_bt"
                      v-on:click="true_upload"
                    >
                      上传图像
                      <input
                        ref="upload"
                        style="display: none"
                        name="file"
                        type="file"
                        @change="update"
                      />
                    </el-button>
                  </div>
                </div>
              </el-image>
            </div>
            <div class="img_info_1" style="border-radius: 0 0 5px 5px">
              <span style="color: white; letter-spacing: 6px">原始图像</span>
            </div>
          </div>
          <div class="demo-image__preview2">
            <div
              v-loading="loading"
              element-loading-text="处理中,请耐心等待"
              element-loading-spinner="el-icon-loading"
            >
              <el-image
                :src="url_2"
                class="image_1"
                :preview-src-list="srcList1"
                style="border-radius: 3px 3px 0 0"
              >
                <div slot="error">
                  <div slot="placeholder" class="error">{{ wait_return }}</div>
                </div>
              </el-image>
            </div>
            <div class="img_info_1" style="border-radius: 0 0 5px 5px">
              <span style="color: white; letter-spacing: 4px">检测结果</span>
            </div>
          </div>
        </el-card>
      </div>
      <div id="info_patient">
        <!-- 卡片放置表格 -->
        <el-card style="border-radius: 8px">
          <div slot="header" class="clearfix">
            <span>检测目标</span>
            <el-button
              style="margin-left: 35px"
              v-show="!showbutton"
              type="primary"
              icon="el-icon-upload"
              class="download_bt"
              v-on:click="true_upload2"
            >
              重新选择图像
              <input
                ref="upload2"
                style="display: none"
                name="file"
                type="file"
                @change="update"
              />
            </el-button>
          </div>
          <el-tabs v-model="activeName">
            <el-tab-pane label="检测到的目标" name="first">
              <!-- 表格存放特征值 -->
              <el-table
                :data="feature_list"
                height="390"
                border
                style="width: 750px; text-align: center"
                v-loading="loading"
                element-loading-text="数据正在处理中，请耐心等待"
                element-loading-spinner="el-icon-loading"
                lazy
              >
                <el-table-column label="目标类别" width="250px">
                  <template slot-scope="scope">
                    <span>{{ scope.row[2] }}</span>
                  </template>
                </el-table-column>
                <el-table-column label="目标大小" width="250px">
                  <template slot-scope="scope">
                    <span>{{ scope.row[0] }}</span>
                  </template>
                </el-table-column>
                <el-table-column label="置信度" width="250px">
                  <template slot-scope="scope">
                    <span>{{ scope.row[1] }}</span>
                  </template>
                </el-table-column>
              </el-table>
            </el-tab-pane>
          </el-tabs>
        </el-card>
      </div>
    </div>
  </div>
    </el-tab-pane>
    <el-tab-pane label="视频检测" name="second">
      <h3>视频名称</h3>
      <img :src="vidoedectetion"> 
    </el-tab-pane>
    <el-tab-pane label="视频流检测" name="third">
      
    </el-tab-pane>
    <el-tab-pane label="多路视频流检测" name="fourth">
      
    </el-tab-pane>
  </el-tabs>
 
</template>

<script>
import axios from "axios";

export default {
  name: "Content",
  data() {
    return {
      vidoedectetion:"http://127.0.0.1:5003" + "/video_start",
      server_url: "http://127.0.0.1:5003",
      activeName: "first",
      active: 0,
      centerDialogVisible: true,
      url_1: "",
      url_2: "",
      textarea: "",
      srcList: [],
      srcList1: [],
      feature_list: [],
      feature_list_1: [],
      feat_list: [],
      url: "",
      visible: false,
      wait_return: "等待上传",
      wait_upload: "等待上传",
      loading: false,
      table: false,
      isNav: false,
      showbutton: true,
      percentage: 0,
      fullscreenLoading: false,
      opacitys: {
        opacity: 0,
      },
      dialogTableVisible: false,
    };
  },
  created: function () {
    document.title = "Yolov5安全帽检测web推理部署";
  },
  methods: {
    true_upload() {
      this.$refs.upload.click();
    },
    true_upload2() {
      this.$refs.upload2.click();
    },
    next() {
      this.active++;
    },
    // 获得目标文件
    getObjectURL(file) {
      var url = null;
      if (window.createObjcectURL != undefined) {
        url = window.createOjcectURL(file);
      } else if (window.URL != undefined) {
        url = window.URL.createObjectURL(file);
      } else if (window.webkitURL != undefined) {
        url = window.webkitURL.createObjectURL(file);
      }
      return url;
    },
    // 上传文件
    update(e) {
      this.percentage = 0;
      this.dialogTableVisible = true;
      this.url_1 = "";
      this.url_2 = "";
      this.srcList = [];
      this.srcList1 = [];
      this.wait_return = "";
      this.wait_upload = "";
      this.feature_list = [];
      this.feat_list = [];
      this.fullscreenLoading = true;
      this.loading = true;
      this.showbutton = false;
      let file = e.target.files[0];
      this.url_1 = this.$options.methods.getObjectURL(file);
      let param = new FormData(); //创建form对象
      param.append("file", file, file.name); //通过append向form对象添加数据
      var timer = setInterval(() => {
        this.myFunc();
      }, 30);
      let config = {
        headers: { "Content-Type": "multipart/form-data" },
      }; //添加请求头
      axios
        .post(this.server_url + "/upload", param, config)
        .then((response) => {
          this.percentage = 100;
          clearInterval(timer);
          this.url_1 = response.data.image_url;
          this.srcList.push(this.url_1);
          this.url_2 = response.data.draw_url;
          this.srcList1.push(this.url_2);
          this.fullscreenLoading = false;
          this.loading = false;

          this.feat_list = Object.keys(response.data.image_info);

          for (var i = 0; i < this.feat_list.length; i++) {
            response.data.image_info[this.feat_list[i]][2] = this.feat_list[i];
            this.feature_list.push(response.data.image_info[this.feat_list[i]]);
          }

          this.feature_list.push(response.data.image_info);
          this.feature_list_1 = this.feature_list[0];
          this.dialogTableVisible = false;
          this.percentage = 0;
          this.notice1();
        });
    },
    myFunc() {
      if (this.percentage + 33 < 99) {
        this.percentage = this.percentage + 33;
      } else {
        this.percentage = 99;
      }
    },
    drawChart() {},
    notice1() {
      this.$notify({
        title: "预测成功",
        message: "点击图片可以查看大图",
        duration: 0,
        type: "success",
      });
    },
  },
  mounted() {
    this.drawChart();
  },
};
</script>

<style>
.el-button {
  padding: 12px 20px !important;
}

#hello p {
  font-size: 15px !important;
  /*line-height: 25px;*/
}

.n1 .el-step__description {
  padding-right: 20%;
  font-size: 14px;
  line-height: 20px;
  /* font-weight: 400; */
}
</style>

<style scoped>
* {
  box-sizing: border-box;
  margin: 0;
  padding: 0;
}

.dialog_info {
  margin: 20px auto;
}

.text {
  font-size: 14px;
}

.item {
  margin-bottom: 18px;
}

.clearfix:before,
.clearfix:after {
  display: table;
  content: "";
}

.clearfix:after {
  clear: both;
}

.box-card {
  width: 680px;
  height: 200px;
  border-radius: 8px;
  margin-top: -20px;
}

.divider {
  width: 50%;
}

#CT {
  display: flex;
  height: 100%;
  width: 100%;
  flex-wrap: wrap;
  justify-content: center;
  margin: 0 auto;
  margin-right: 0px;
  max-width: 1800px;
}

#CT_image_1 {
  width: 90%;
  height: 40%;
  margin: 0px auto;
  padding: 0px auto;
  margin-right: 180px;
  margin-bottom: 0px;
  border-radius: 4px;
}

#CT_image {
  margin-bottom: 60px;
  margin-left: 30px;
  margin-top: 5px;
}

.image_1 {
  width: 275px;
  height: 260px;
  background: #ffffff;
  box-shadow: 0 2px 12px 0 rgba(0, 0, 0, 0.1);
}

.img_info_1 {
  height: 30px;
  width: 275px;
  text-align: center;
  background-color: #21b3b9;
  line-height: 30px;
}

.demo-image__preview1 {
  width: 250px;
  height: 290px;
  margin: 20px 60px;
  float: left;
}

.demo-image__preview2 {
  width: 250px;
  height: 290px;

  margin: 20px 460px;
  /* background-color: green; */
}

.error {
  margin: 100px auto;
  width: 50%;
  padding: 10px;
  text-align: center;
}

.block-sidebar {
  position: fixed;
  display: none;
  left: 50%;
  margin-left: 600px;
  top: 350px;
  width: 60px;
  z-index: 99;
}

.block-sidebar .block-sidebar-item {
  font-size: 50px;
  color: lightblue;
  text-align: center;
  line-height: 50px;
  margin-bottom: 20px;
  cursor: pointer;
  display: block;
}

div {
  display: block;
}

.block-sidebar .block-sidebar-item:hover {
  color: #187aab;
}

.download_bt {
  padding: 10px 16px !important;
}

#upfile {
  width: 104px;
  height: 45px;
  background-color: #187aab;
  color: #fff;
  text-align: center;
  line-height: 45px;
  border-radius: 3px;
  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.1), 0 2px 2px 0 rgba(0, 0, 0, 0.2);
  color: #fff;
  font-family: "Source Sans Pro", Verdana, sans-serif;
  font-size: 0.875rem;
}

.file {
  width: 200px;
  height: 130px;
  position: absolute;
  left: -20px;
  top: 0;
  z-index: 1;
  -moz-opacity: 0;
  -ms-opacity: 0;
  -webkit-opacity: 0;
  opacity: 0; /*css属性&mdash;&mdash;opcity不透明度，取值0-1*/
  filter: alpha(opacity=0);
  cursor: pointer;
}

#upload {
  position: relative;
  margin: 0px 0px;
}

#Content {
  width: 85%;
  height: 800px;
  background-color: #ffffff;
  margin: 15px auto;
  display: flex;
  min-width: 1200px;
}

.divider {
  background-color: #eaeaea !important;
  height: 2px !important;
  width: 100%;
  margin-bottom: 50px;
}

.divider_1 {
  background-color: #ffffff;
  height: 2px !important;
  width: 100%;
  margin-bottom: 20px;
  margin: 20px auto;
}

.steps {
  font-family: "lucida grande", "lucida sans unicode", lucida, helvetica,
    "Hiragino Sans GB", "Microsoft YaHei", "WenQuanYi Micro Hei", sans-serif;
  color: #21b3b9;
  text-align: center;
  margin: 15px auto;
  font-size: 20px;
  font-weight: bold;
  text-align: center;
}

.step_1 {
  /*color: #303133 !important;*/
  margin: 20px 26px;
}

#info_patient {
  margin-top: 10px;
  margin-right: 160px;
}
</style>

6、参考资料

yolov5-flask-web - 知乎 (zhihu.com)

Flask部署YOLOv5 - 知乎 (zhihu.com)

https://zhuanlan.zhihu.com/p/104273184

特别感谢作者

GitHub - Sharpiless/Yolov5-Flask-VUE: 基于Flask+VUE前后端，在阿里云公网WEB端部署YOLOv5目标检测模型文章来源地址https://www.toymoban.com/news/detail-744612.html

7、代码分享 

到了这里，关于yolov5 web端部署进行图片和视频检测的文章就介绍完了。如果您还想了解更多内容，请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章，希望大家以后多多支持TOY模板网！

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