增加dockererfile文件，支持在docker中运行

解决webapi.py运行时报错的bug

Dockerfile

@@ -0,0 +1,11 @@
+#基于的基础镜像
+FROM python:3.6
+#代码添加到code文件夹，后面可以通过进入容器中看的
+ADD ./ /code
+# 设置code文件夹是工作目录
+WORKDIR /code
+# 安装支持
+RUN pip install -r requirement.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
+#当容器启动时，使用python3执行指定路径的py脚本
+CMD ["python", "/code/WebAPI.py"]
+

WebAPI.py

@@ -1,13 +1,13 @@
 #coding=utf-8
 from flask import Flask, render_template, request
-from werkzeug import secure_filename
+from werkzeug.utils import secure_filename
 
 import cv2
 import numpy as np
 
 #导入opencv
 
-from hyperlpr import pipline
+from hyperlpr_py3 import pipline
 #导入车牌识别库
 
 
@@ -43,7 +43,7 @@ def upload_file():
         #保存请求上来的文件
         t0 = time.time()
         res = recognize("./images_rec/"+secure_filename(f.filename))
-        print "识别时间",time.time() - t0
+        print("识别时间",time.time() - t0)
         return res
         #返回识别结果
 
@@ -51,10 +51,8 @@ def upload_file():
     return render_template('upload.html')
 
 
-
 if __name__ == '__main__':
     #入口函数
-
-    app.run("0.0.0.0",port=8000)
+    app.run("0.0.0.0", port=8000, threaded=False, debug=False)
     #运行app 指定IP 指定端口
 

demo.py

@@ -41,7 +41,7 @@ def drawRectBox(image,rect,addText):
 import HyperLPRLite as pr
 import cv2
 import numpy as np
-grr = cv2.imread("images_rec/2_.jpg")
+grr = cv2.imread("images_rec/2.jpg")
 model = pr.LPR("model/cascade.xml","model/model12.h5","model/ocr_plate_all_gru.h5")
 for pstr,confidence,rect in model.SimpleRecognizePlateByE2E(grr):
         if confidence>0.7:
@@ -56,4 +56,4 @@ cv2.waitKey(0)
 
 
 
-SpeedTest("images_rec/2_.jpg")
+#SpeedTest("images_rec/2.jpg")

hyperlpr_py3/pipline.py

@@ -145,9 +145,9 @@ def RecognizePlateJson(image):
             res_json["w"] = int(rect[2])
             res_json["h"] = int(rect[3])
             jsons.append(res_json)
-    print(json.dumps(jsons,ensure_ascii=False,encoding="gb2312"))
+    print(json.dumps(jsons,ensure_ascii=False))
 
-    return json.dumps(jsons,ensure_ascii=False,encoding="gb2312")
+    return json.dumps(jsons,ensure_ascii=False)
 
 
 

requirements.txt

@@ -0,0 +1,53 @@
+absl-py==0.9.0
+alembic==1.4.2
+astor==0.8.1
+click==7.1.1
+cycler==0.10.0
+decorator==4.4.2
+Flask==1.0
+Flask-Migrate==2.5.3
+Flask-MySQLdb==0.2.0
+Flask-Script==2.0.6
+Flask-Session==0.3.1
+Flask-SQLAlchemy==2.4.1
+gast==0.3.3
+grpcio==1.27.2
+h5py==2.10.0
+imageio==2.8.0
+itsdangerous==1.1.0
+Jinja2==2.11.1
+joblib==0.14.1
+Keras==2.1.1
+Keras-Applications==1.0.8
+Keras-Preprocessing==1.1.0
+kiwisolver==1.1.0
+Mako==1.1.2
+Markdown==3.2.1
+MarkupSafe==1.1.1
+matplotlib==3.2.1
+mock==4.0.2
+mysqlclient==1.4.6
+networkx==2.4
+numpy==1.17.4
+opencv-contrib-python==3.4.2.16
+opencv-python==3.4.2.16
+Pillow==7.0.0
+protobuf==3.11.3
+pyparsing==2.4.6
+python-dateutil==2.8.1
+python-editor==1.0.4
+PyWavelets==1.1.1
+PyYAML==5.3.1
+redis==3.4.1
+scikit-image==0.16.2
+scikit-learn==0.22.2.post1
+scipy==1.4.1
+six==1.14.0
+sklearn==0.0
+SQLAlchemy==1.3.15
+tensorboard==1.13.1
+tensorflow==1.15.2
+tensorflow-estimator==1.13.0
+termcolor==1.1.0
+Theano==1.0.4
+Werkzeug==1.0.0