init

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2021 divenswu
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -0,0 +1,91 @@
+## 人脸搜索M:N
+
+* 最全车牌识别算法，支持14种中文车牌类型。
+
+* 项目使用纯Java开发，免去使用Python带来的服务不稳定性。
+
+* 项目模型来源：
+* 欢迎大家贡献代码，如果你觉得项目还不错，请给个star。
+
+### 项目简介
+
+* 项目使用组件
+
+    1、spring boot
+
+    2、[onnx](https://github.com/onnx/onnx)
+
+* 深度学习模型
+
+    1、[Chinese_license_plate_detection_recognition](https://github.com/we0091234/Chinese_license_plate_detection_recognition)
+
+
+### 项目文档
+
+* 在线文档：[文档-1.0.0](scripts/docs/doc-1.0.0.md)
+
+* swagger文档：启动项目且开启swagger，访问：host:port/doc.html, 如 http://127.0.0.1:8080/doc.html
+
+### 搜索客户端
+
+* Java依赖,未发布到中央仓库，需要自行编译发布到私有仓库
+```
+<dependency>
+    <groupId>com.visual.open.anpr</groupId>
+    <artifactId>open-anpr-client</artifactId>
+    <version>1.0.0</version>
+</dependency>
+```
+* 其他语言依赖
+
+&ensp; &ensp;使用restful接口：[文档-1.0.0](scripts/docs/doc-1.0.0.md)
+
+
+### 项目部署
+
+* docker部署
+```
+1、直接docker部署项目：
+docker run -d --name "open-anpr" -p 56790:8080 divenswu/open-anpr:1.0.0
+
+2、若想禁用swagger：
+docker run -d --name "open-anpr" -p 56790:8080 -e VISUAL_SWAGGER_ENABLE=false divenswu/open-anpr:1.0.0
+
+3、若想挂载日志目录到本地：
+docker run -d --name "open-anpr" -p 56790:8080 -v open-anpr/logs:/app/open-anpr/logs divenswu/open-anpr:1.0.0
+
+4、服务访问：
+  swagger借口文档： http://127.0.0.1:56790/doc.html
+```
+
+* 项目编译，并打包为docker镜像
+```
+1、java版本最低为：1.8；安装maven编译工具。安装docker。
+2、克隆项目
+  git clone https://gitee.com/open-visual/open-anpr.git
+3、项目打包
+   cd open-anpr && sh scripts/docker_build.sh
+```
+
+* 部署参数
+
+| 参数                     |            描述 |  默认值  | 可选值        |
+|------------------------|--------------:| :----:  |------------|
+| VISUAL_SWAGGER_ENABLE  | 是否开启swagger   |   true  | true/false |
+
+
+### 项目演示
+
+* 1.0.0 测试用例：open-anpr-test[测试用例-PlateRecognitionExample](https://gitee.com/open-visual/open-anpr/blob/master/open-anpr-test/src/main/java/com/visual/open/anpr/exps/PlateRecognitionExample.java)
+
+* ![输入图片说明](scripts%2Fimages%2Fvalidate-1.0.0.jpg)
+
+### 交流群
+
+* 微信交流群
+
+    关注微信公众号回复：微信群
+
+* 微信公众号：关注一下，是对我最大的支持
+
+![微信公众号](scripts/images/%E5%85%AC%E4%BC%97%E5%8F%B7-%E5%BE%AE%E4%BF%A1.jpg)

open-anpr-core/src/test/java/com/visual/open/anpr/core/models/TorchPlateDetectionTest.java

@@ -12,7 +12,7 @@ public class TorchPlateDetectionTest {
     public static void main(String[] args) {
         TorchPlateDetection torchPlateDetection = new TorchPlateDetection("open-anpr-core/src/main/resources/models/plate_detect.onnx", 1);
 
-        String imagePath = "open-anpr-core/src/test/resources/images";
+        String imagePath = "open-anpr-core/src/test/resources/images/image001.jpg";
         ImageMat imageMat = ImageMat.fromImage(imagePath);
         List<PlateInfo> plateInfos = torchPlateDetection.inference(imageMat, 0.3f,0.5f, new HashMap<>());
         System.out.println(plateInfos);

open-anpr-test/src/main/java/com/visual/open/anpr/exps/PlateRecognitionExample.java

@@ -15,9 +15,9 @@ public class PlateRecognitionExample {
 
     static{ nu.pattern.OpenCV.loadShared(); }
     //本地开发模式
-    public static String serverHost = "http://127.0.0.1:8080";
+//    public static String serverHost = "http://127.0.0.1:8080";
     //docker部署模式
-    //public static String serverHost = "http://127.0.0.1:56790";
+    public static String serverHost = "http://172.16.36.228:56790";
     //远程测试服务
     //public static String serverHost = "http://open-anpr.diven.nat300.top";
 
@@ -27,6 +27,7 @@ public class PlateRecognitionExample {
     public static void recognition() {
         String searchPath = "open-anpr-test/src/main/resources/image";
         File [] files = Objects.requireNonNull(new File(searchPath).listFiles());
+//        for(int u=0; u<=1000; u++)
         for(int i=0; i< files.length-1; i++){
             File imageA = files[i];
             String imageBase64 = Base64Util.encode(imageA.getAbsolutePath());

scripts/docs/doc-1.0.0.md

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+# 车牌识别服务API
+
+
+**简介**:车牌识别服务API
+
+
+**HOST**:http://127.0.0.1:8080
+
+
+**联系人**:
+
+
+**Version**:1.0.0
+
+
+**接口路径**:/v3/api-docs?group=1.0.0
+
+
+[TOC]
+
+
+
+
+
+
+# 01、车牌识别服务
+
+
+## 1、车牌识别
+
+
+**接口地址**:`/visual/plate/recognition`
+
+
+**请求方式**:`POST`
+
+
+**请求数据类型**:`application/x-www-form-urlencoded,application/json`
+
+
+**响应数据类型**:`*/*`
+
+
+**接口描述**:
+
+
+**请求示例**:
+
+
+```javascript
+{
+  "image": "",
+  "limit": 0
+}
+```
+
+
+**请求参数**:
+
+
+| 参数名称 | 参数说明 | 请求类型    | 是否必须 | 数据类型 | schema |
+| -------- | -------- | ----- | -------- | -------- | ------ |
+|plateInfoReqVo|车牌识别参数|body|true|PlateInfoReqVo|PlateInfoReqVo|
+|  image|图像Base64编码值||true|string||
+|  limit|最大搜索条数：默认5||false|integer(int32)||
+
+
+**响应状态**:
+
+
+| 状态码 | 说明 | schema |
+| -------- | -------- | ----- | 
+|200|OK|ResponseInfo«List«PlateInfoRepVo»»|
+|201|Created||
+|401|Unauthorized||
+|403|Forbidden||
+|404|Not Found||
+
+
+**响应参数**:
+
+
+| 参数名称 | 参数说明 | 类型 | schema |
+| -------- | -------- | ----- |----- | 
+|code|返回代码|integer(int32)|integer(int32)|
+|data|数据信息|array|PlateInfoRepVo|
+|  location|车牌位置信息|PlateLocation|PlateLocation|
+|    leftBottom|左下角坐标|LocationPoint|LocationPoint|
+|      x|坐标X的值|integer||
+|      y|坐标Y的值|integer||
+|    leftTop|左上角坐标值|LocationPoint|LocationPoint|
+|      x|坐标X的值|integer||
+|      y|坐标Y的值|integer||
+|    rightBottom|右下角坐标|LocationPoint|LocationPoint|
+|      x|坐标X的值|integer||
+|      y|坐标Y的值|integer||
+|    rightTop|右上角坐标|LocationPoint|LocationPoint|
+|      x|坐标X的值|integer||
+|      y|坐标Y的值|integer||
+|  recognition|车牌识别信息|RecognitionInfo|RecognitionInfo|
+|    layout|车牌布局，单排还是双排,可用值:DOUBLE,SINGLE,UNKNOWN|string||
+|    plateColor|车牌的颜色信息,可用值:BLACK,BLUE,GREEN,UNKNOWN,WHITE,YELLOW|string||
+|    plateNo|车牌文本信息|string||
+|  score|车牌置信分数:[0,100]|number(float)||
+|message|返回信息|string||
+
+
+**响应示例**:
+```javascript
+{
+	"code": 0,
+	"data": [
+		{
+			"location": {
+				"leftBottom": {
+					"x": 0,
+					"y": 0
+				},
+				"leftTop": {
+					"x": 0,
+					"y": 0
+				},
+				"rightBottom": {
+					"x": 0,
+					"y": 0
+				},
+				"rightTop": {
+					"x": 0,
+					"y": 0
+				}
+			},
+			"recognition": {
+				"layout": "",
+				"plateColor": "",
+				"plateNo": ""
+			},
+			"score": 0
+		}
+	],
+	"message": ""
+}
+```
+
+
+# 02、健康检测服务
+
+
+## 1、健康检查
+
+
+**接口地址**:`/common/health/check`
+
+
+**请求方式**:`GET`
+
+
+**请求数据类型**:`application/x-www-form-urlencoded`
+
+
+**响应数据类型**:`*/*`
+
+
+**接口描述**:
+
+
+**请求参数**:
+
+
+暂无
+
+
+**响应状态**:
+
+
+| 状态码 | 说明 | schema |
+| -------- | -------- | ----- | 
+|200|OK|ResponseInfo«string»|
+|401|Unauthorized||
+|403|Forbidden||
+|404|Not Found||
+
+
+**响应参数**:
+
+
+| 参数名称 | 参数说明 | 类型 | schema |
+| -------- | -------- | ----- |----- | 
+|code|返回代码|integer(int32)|integer(int32)|
+|data|数据信息|string||
+|message|返回信息|string||
+
+
+**响应示例**:
+```javascript
+{
+	"code": 0,
+	"data": "",
+	"message": ""
+}
+```