gwng-pythonweb/pythonweb/serviceApp/templates/platForm.html

{% extends "base.html" %}
{% load static %}

{% block title %}
人脸识别开放平台
{% endblock %}

{% block content %}
<link href="{% static 'css/news.css' %}" rel="stylesheet">
<link rel="stylesheet" href="{% static 'css/codemirror.css' %}">
<script src="{% static 'js/codemirror.js' %}"></script>
<script src="{% static 'js/python.js' %}"></script>
<style type="text/css">
    .CodeMirror {
        border-top: 1px solid black;
        border-bottom: 1px solid black;
    }
</style>
<!-- 广告横幅 -->
<div class="container-fluid">
    <div class="row">
        <img class="img-responsive model-img" src="{% static 'img/service.jpg' %}">
    </div>
</div>
<!-- 主体内容 -->
<div class="container">
    <div class="row row-3">
        <!-- 侧边导航栏 -->
        <div class="col-md-3">
            <div class="model-title">
                服务支持
            </div>
            <div class="model-list">
                <ul class="list-group">
                    <li class="list-group-item" id='download'>
                        <a href="{% url 'serviceApp:download' %}">资料下载</a>
                    </li>
                    <li class="list-group-item" id='platform'>
                        <a href="{% url 'serviceApp:platform' %}">人脸识别开放平台</a>
                    </li>
                </ul>
            </div>
        </div>
        <!-- 说明文字和图片 -->
        <div class="col-md-9">
            <div class="model-details-title">
                人脸识别接口文档
            </div>
            <div class="model-details">
                <h3>一. 体验产品</h3>
                </br>
                <!-- 按钮触发模态框 -->
                <button class="btn btn-primary btn-lg" data-toggle="modal" data-target="#myModal">
                    人脸检测
                </button>
                <!-- 模态框（Modal） -->
                <div class="modal fade" id="myModal" tabindex="-1" role="dialog" aria-labelledby="myModalLabel"
                    aria-hidden="true">
                    <div class="modal-dialog">
                        <div class="modal-content">
                            <div class="modal-header">
                                <button type="button" class="close" data-dismiss="modal" aria-hidden="true">
                                    &times;
                                </button>
                                <h4 class="modal-title" id="myModalLabel">
                                    在线人脸检测
                                </h4>
                            </div>
                            <div class="modal-body">
                                <img id="photoIn" src="{% static 'img/sample.png' %}" class="img-responsive"
                                    style="max-width:250px">
                                <input type="file" id="photo" name="photo" />
                            </div>
                            <div class="modal-footer">
                                <button type="button" class="btn btn-default" data-dismiss="modal">关闭
                                </button>
                                <button type="button" id="compute" class="btn btn-primary">
                                    开始检测
                                </button>
                            </div>
                        </div><!-- /.modal-content -->
                    </div><!-- /.modal -->
                </div>
                <script>
                    $(function () {
                        $('#photo').on('change', function () {
                            var r = new FileReader();
                            f = document.getElementById('photo').files[0];
                            r.readAsDataURL(f);
                            r.onload = function (e) {
                                document.getElementById('photoIn').src = this.result;
                            };
                        });
                    });
                </script>
                <script>
                    $('#compute').click(function () {
                        formdata = new FormData();
                        var file = $("#photo")[0].files[0];
                        formdata.append("image", file);
                        $.ajax({
                            url: '/serviceApp/facedetectDemo/', // 调用Django服务器计算函数
                            type: 'POST', // 请求类型
                            data: formdata,
                            dataType: 'json', // 期望获得的响应类型为json
                            processData: false,
                            contentType: false,
                            success: ShowResult // 在请求成功之后调用该回调函数输出结果
                        })
                    })
                </script>
                <script>
                    function ShowResult(data) {
                        var v = data['img64'];
                        document.getElementById('photoIn').src = "data:image/jpeg;base64, " + v;
                    }
                </script>
                <h3>二. API接口说明</h3>
                </br>
                <h4><strong>基本信息：</strong></h4>
                <p>
                    请求类型：HTTP/HTTPS。请求方式：POST
                </p>
                <p>
                    接口地址：http://myhengda.cn/serviceApp/facedetect/
                </p>
                </br>
                <h4><strong>接口描述：</strong></h4>
                <p>
                    人脸检测，此接口多用于调用人脸识别、人脸比对的接口之前，用于从图像数据中检测出人脸区域，并以
                    矩形框形式返回人脸检测结果。目前该接口仅供测试使用，调用该接口暂时不限制调用次数。
                </p>

                </br>
                <h4><strong>本地调用示例：</strong></h4>

                <div><textarea id="code" name="code">
    import cv2, requests
    # web地址(http://localhost:8000)+访问接口（facedetect）
    url = "http://localhost:8000/serviceApp/facedetect/"

    # 上传图像并检测
    tracker = None
    imgPath = "face.jpg"  #图像路径
    files = {
        "image": ("filename2", open(imgPath, "rb"), "image/jpeg"),
    }

    req = requests.post(url, data=tracker, files=files).json()
    print("获取信息: {}".format(req))

    # 将检测结果框显示在图像上
    img = cv2.imread(imgPath)
    for (w, x, y, z) in req["faces"]:
        cv2.rectangle(img, (w, x), (y, z), (0, 255, 0), 2)

    cv2.imshow("face detection", img)
    cv2.waitKey(0)
                </textarea></div>
                </br>
                <h4><strong>调用结果：</strong></h4>
                <img class="img-responsive" style="max-width:200px;" src="{% static 'img/facedetect.png' %}">

            </div>
        </div>
    </div>
</div>

<script>
    var editor = CodeMirror.fromTextArea(document.getElementById("code"), {
        mode: {
            name: "python",
            version: 3,
            singleLineStringErrors: false
        },
        lineNumbers: true,
        indentUnit: 4,
        tabMode: "shift",
        matchBrackets: true
    });
</script>
{% endblock %}