sml2h3/ocr_api_server

使用ddddocr的最简api搭建项目，支持docker

ocr_api_server's Issues

module 'PIL.Image' has no attribute 'ANTIALIAS'

我使用docker部署完毕后使用ocr识别，api报错为{"status": 200, "result": "", "msg": "module 'PIL.Image' has no attribute 'ANTIALIAS'"}

部署成功，请求也正常访问，但是执行oci_api_server里面ocr识别率为0

ocr模块也开启了，请求也没有报错

如果登陆进容器内，自己写ddddocr代码，图片内容是可以识别。

api 加个flask_cors包？ 解决跨域问题，就可以结合tampermonkey的脚本，在浏览器上识别登录界面的验证码

cannot identify image file <_io.BytesIO object at 0x7fe7e4a46680>

http://localhost:9898/ocr/b64/json

{
"image": "data:image/png;base64,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"
}

请求返回不能识别是什么原因？

{
"status": 200,
"result": "",
"msg": "cannot identify image file <_io.BytesIO object at 0x000002772A461590>"
}

docker部署没有返回结果

docker部署, 请求ocr没有返回结果

请求如下:

curl --location 'http://192.168.1.2:9898/ocr/file' \
--form 'image=@"/C:/Users/Administrator/Desktop/6915.jfif"'

docker 启动报错

root@VM-24-4-ubuntu:/home/ubuntu/ocr_api_server# docker run -p 9898:9898 -d ocr_server:v1
ab86f1c3c59d8b628eea577c1dcba48c24c374b98a742b1171e0bdf48bd2c6f5
docker: Error response from daemon: driver failed programming external connectivity on endpoint elegant_fermat (e56b42c69b11022b8716d05d073355bcd9fc6d999b943eae6f51ec23e71f695c):  (iptables failed: iptables --wait -t filter -A DOCKER ! -i docker0 -o docker0 -p tcp -d 172.17.0.2 --dport 9898 -j ACCEPT: iptables: No chain/target/match by that name.
 (exit status 1)).
root@VM-24-4-ubuntu:/home/ubuntu/ocr_api_server# iptables --wait -t filter -A DOCKER ! -i docker0 -o docker0 -p tcp -d 172.17.0.2 --dport 9898 -j ACCEPT
iptables: No chain/target/match by that name.

请问docker运行,文档中提到的entrypoint.sh在仓库用找到,请问在那?谢谢

修改entrypoint.sh中的参数，具体参数往上翻，默认9898端口，同时开启ocr模块以及目标检测模块

这个sh文件没找到,请问在哪里,是要自己新建吗?谢谢

windows server2008安装报错

could not find any instance of Visual Studio.

-- Configuring incomplete, errors occurred!
See also "C:/Users/Administrator/AppData/Local/Temp/2/pip-install-ruhszrvo/opencv-python-headless/
_cmake_test_compile/build/CMakeFiles/CMakeOutput.log".
Not searching for unused variables given on the command line.
CMake Error at CMakeLists.txt:2 (PROJECT):
Generator

  Ninja

does not support platform specification, but platform

  x64

was specified.

-- Configuring incomplete, errors occurred!
See also "C:/Users/Administrator/AppData/Local/Temp/2/pip-install-ruhszrvo/opencv-python-headless/
_cmake_test_compile/build/CMakeFiles/CMakeOutput.log".
Not searching for unused variables given on the command line.
CMake Error at CMakeLists.txt:2 (PROJECT):
Generator

  Visual Studio 15 2017

could not find any instance of Visual Studio.

-- Configuring incomplete, errors occurred!
See also "C:/Users/Administrator/AppData/Local/Temp/2/pip-install-ruhszrvo/opencv-python-headless/
_cmake_test_compile/build/CMakeFiles/CMakeOutput.log".
Not searching for unused variables given on the command line.
CMake Error at CMakeLists.txt:2 (PROJECT):
Generator

  NMake Makefiles

does not support platform specification, but platform

  x64

was specified.

-- Configuring incomplete, errors occurred!
See also "C:/Users/Administrator/AppData/Local/Temp/2/pip-install-ruhszrvo/opencv-python-headless/
_cmake_test_compile/build/CMakeFiles/CMakeOutput.log".
Not searching for unused variables given on the command line.
CMake Error at CMakeLists.txt:2 (PROJECT):
Generator

  NMake Makefiles

does not support platform specification, but platform

  x64

was specified.

-- Configuring incomplete, errors occurred!
See also "C:/Users/Administrator/AppData/Local/Temp/2/pip-install-ruhszrvo/opencv-python-headless/
_cmake_test_compile/build/CMakeFiles/CMakeOutput.log".
Not searching for unused variables given on the command line.
CMake Error at CMakeLists.txt:2 (PROJECT):
Generator

  NMake Makefiles

does not support platform specification, but platform

  x64

was specified.

-- Configuring incomplete, errors occurred!
See also "C:/Users/Administrator/AppData/Local/Temp/2/pip-install-ruhszrvo/opencv-python-headless/
_cmake_test_compile/build/CMakeFiles/CMakeOutput.log".

---

-- Trying "Ninja (Visual Studio 17 2022 x64 v143)" generator

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--

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-- Trying "Ninja (Visual Studio 17 2022 x64 v143)" generator - failure

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-- Trying "Visual Studio 17 2022 x64 v143" generator

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--

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-- Trying "Visual Studio 17 2022 x64 v143" generator - failure

---

-- Trying "Ninja (Visual Studio 16 2019 x64 v142)" generator

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--

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-- Trying "Ninja (Visual Studio 16 2019 x64 v142)" generator - failure

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-- Trying "Visual Studio 16 2019 x64 v142" generator

---

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--

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-- Trying "Visual Studio 16 2019 x64 v142" generator - failure

---

-- Trying "Ninja (Visual Studio 15 2017 x64 v141)" generator

---

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--

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-- Trying "Ninja (Visual Studio 15 2017 x64 v141)" generator - failure

---

-- Trying "Visual Studio 15 2017 x64 v141" generator

---

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---

--

---

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---

-- Trying "Visual Studio 15 2017 x64 v141" generator - failure

---

-- Trying "NMake Makefiles (Visual Studio 17 2022 x64 v143)" generator

---

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---

---

---

--

---

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---

---

---

---

-- Trying "NMake Makefiles (Visual Studio 17 2022 x64 v143)" generator - failure

---

-- Trying "NMake Makefiles (Visual Studio 16 2019 x64 v142)" generator

---

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---

---

---

--

---

---

---

---

---

---

-- Trying "NMake Makefiles (Visual Studio 16 2019 x64 v142)" generator - failure

---

-- Trying "NMake Makefiles (Visual Studio 15 2017 x64 v141)" generator

---

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---

---

---

--

---

---

---

---

---

---

-- Trying "NMake Makefiles (Visual Studio 15 2017 x64 v141)" generator - failure

---

scikit-build could not get a working generator for your system. Aborting build.

Building windows wheels for Python 3.7 requires Microsoft Visual Studio 2022.
Get it with "Visual Studio 2017":

https://visualstudio.microsoft.com/vs/

Or with "Visual Studio 2019":

https://visualstudio.microsoft.com/vs/

Or with "Visual Studio 2022":

https://visualstudio.microsoft.com/vs/

---

---

ERROR: Failed building wheel for opencv-python-headless
Running setup.py clean for opencv-python-headless
Failed to build opencv-python-headless
ERROR: Could not build wheels for opencv-python-headless which use PEP 517 and cannot be installed d
irectly
WARNING: You are using pip version 19.2.3, however version 22.2.2 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.

前面应该还有报错，还有救吗

能跟随升级一下吗？

https://github.com/sml2h3/ddddocr 近期有不少更新

http://localhost:9898/ocr/b64 用Java请求不成功???

可以发一下 CURL 的请求格式?

带数学运算的图形验证码好像识别不准确

使用docker并反向代理到外部的时候使用api返回405

在docket启动后在宝塔面板中开启反向代理，然后外部访问api识别的时候返回405 ,但是访问 /ping时正常返回pong的页面
下面是遇到问题的截图 感谢您的代码
我使用的是宝塔面板进行的配置和重定向，似乎只有docker下会出现这个问题

关于arm32（arm7l）的镜像的构建

你好，我想构建arm32位的docker镜像，但是一直都构建不成功，你这边能支持下这个架构的docker镜像吗？

你好 这种复杂的验证码 失败率有点高 怎么搞

Add API for slide_match and slide_compare

https://github.com/sml2h3/ddddocr 1.4.0版本新增了两种滑块识别算法，ocr_api_server 尚未补充该接口，我会尝试自行实现然后 PR

JS unit8Array，Base64结果和python的base64不一样啊

JS unit8Array，Base64结果和python的base64不一样啊
大佬，怎么办呢

m1 pro+docker跑步起来,这个接口是不是不支持m系列处理器?

用的是你项目自带的Dockerfile

一大一小滑块识别报错

url = 'http://1.1.1.1:9898/slide/match/b64/json'
jsonstr = json.dumps({'target_img': bg, 'bg_img': tg})
response = requests.post(url, data=base64.b64encode(jsonstr.encode()).decode())
return response.json()

使用docker部署的api
返回：{'status': 200, 'result': '', 'msg': "'int' object is not subscriptable"}

请教一下是什么原因

ubuntu搭建过程出错，请帮忙看看

配置环境：
Ubuntu 20.04.3 LTS
ipv6环境
1核1G小鸡
64位系统 （德机）

怎么把本地训练好的模型给 线上的ocr_api_server

已经在linux的docker部署好了ocr_api_server。怎么把本地训练好的模型给 线上的ocr_api_server。 文档里面我没看到怎么弄这个地方

postman base64 无效