Docker 容器 Ubuntu 运行 Umi-OCR_v2

Question

Docker 容器 Ubuntu 运行 Umi-OCR_v2

Closed this issue 4 months ago · 6 comments

iszmxw commented a year ago

软件版本

Umi-OCR_Rapid_dev_20231114.7z

运行环境

Ubuntu20.04
wine-8.0.2

如图

创建 D3D 设备失败

我用的是wine 启动的

是否需要下载三方组件和.net库才能跑

err:d3dcompiler:D3DCompile2 
QOpenGLShader::link: C:\fakepath:22:35: E5000: syntax error, unexpected '(', exp
ecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with default flags. (vs_5_0)
 Retrying with skip validation
C:\fakepath:22:35: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with skip validation flags. (vs_5_0)
 Retrying with skip optimization
C:\fakepath:22:35: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with skip optimization flags. (vs_5_0)

C:\fakepath:30:52: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with default flags. (ps_5_0)
 Retrying with skip validation
C:\fakepath:30:52: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with skip validation flags. (ps_5_0)
 Retrying with skip optimization
C:\fakepath:30:52: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with skip optimization flags. (ps_5_0)


Failed to create D3D shaders.
C:\fakepath:22:35: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with default flags. (vs_5_0)
 Retrying with skip validation
C:\fakepath:22:35: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with skip validation flags. (vs_5_0)
 Retrying with skip optimization
C:\fakepath:22:35: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with skip optimization flags. (vs_5_0)

C:\fakepath:30:52: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with default flags. (ps_5_0)
 Retrying with skip validation
C:\fakepath:30:52: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with skip validation flags. (ps_5_0)
 Retrying with skip optimization
C:\fakepath:30:52: E5000: syntax error, unexpected '(', expecting ';' or ','
 user-defined function "gl_main".

Warning: D3D shader compilation failed with skip optimization flags. (ps_5_0)


Failed to create D3D shaders.

0024:fixme:dxgi:d3d11_swapchain_Present1 Ignored present parameters 000000000011AFF8.

【已解决，可以完美运行了】

Answer 1 · 2023-11-15T04:36:33.000Z

试了一下功能是好的，就是黑屏

识别的图片

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

响应结果

{"code": 100, "data": [{"box": [[18, 27], [482, 27], [482, 50], [18, 50]], "score": 0.993669793009758, "text":
"1\u3001\u652f\u6301\u5c4f\u5e55\u622a\u56fe\u540e\u76f4\u63a5\u5728\u6b64\u5904\u7c98\u8d34\u8fdb\u884c\u8f6c\u5316"},
{"box": [[17, 61], [675, 61], [675, 85], [17, 85]], "score": 0.9954219460487366, "text":
"2\u3001\u652f\u6301\u590d\u5236\u6587\u4ef6\u3001\u590d\u5236\u56fe\u7247\u5728\u7ebf\u5730\u5740\u5728\u6b64\u5904\u76f4\u63a5\u7c98\u8d34\u8fdb\u884c\u8f6c\u5316"}],
"time": 0.5707409381866455, "timestamp": 1700022530.5771704}

转以后结果

{
    "code": 100,
    "data": [
        {
            "box": [
                [
                    18,
                    27
                ],
                [
                    482,
                    27
                ],
                [
                    482,
                    50
                ],
                [
                    18,
                    50
                ]
            ],
            "score": 0.993669793009758,
            "text": "1、支持屏幕截图后直接在此处粘贴进行转化"
        },
        {
            "box": [
                [
                    17,
                    61
                ],
                [
                    675,
                    61
                ],
                [
                    675,
                    85
                ],
                [
                    17,
                    85
                ]
            ],
            "score": 0.9954219460487366,
            "text": "2、支持复制文件、复制图片在线地址在此处直接粘贴进行转化"
        }
    ],
    "time": 0.5707409381866455,
    "timestamp": 1700022530.5771704
}

Answer 2 · 2023-11-15T04:46:23.000Z

哇，能在ubuntu上跑起来已经很令我意外了……

能跑起来就有希望！你可以按照下列步骤将渲染器改为CPU软渲染，尝试绕过显卡兼容的问题。

用文本编辑器打开 UmiOCR-data/.pre_settings 。其中有一行： "opengl": "XXX", 将这行改为：
"opengl": "AA_UseSoftwareOpenGL",

如果改完后打开软件产生一些报错，可能需要下载一些dll，如 #22

如果AA_UseSoftwareOpenGL不行，可以试试换为别的选项：
AA_UseDesktopOpenGL
AA_UseOpenGLES

Answer 3 · 2023-11-15T04:50:30.000Z

另外 http://127.0.0.1:1224/api/ocr 这个URL本身是空的。如果想测试网络连接，可以访问 http://127.0.0.1:1224 ，它将返回软件版本号。

Answer 4 · 2023-11-15T05:04:27.000Z

我试试看，如果不行能关掉GUI模式也行

Answer 5 · 2023-11-15T06:54:46.000Z

可以了，跑起来了

可以 docker 体验一波

封装的最新容器使用教程在这里【OCR容器服务】

#  运行容器
docker run -itd --name=ocr -p 80:80 iszmxw/ocr:2.0 bash
#  查看容器id
docker ps -a
# 进入容器
docker exec -it "容器ID" bash
# 启动 ocr 服务
wine /root/Downloads/Umi-OCR_Rapid_dev_20231114/Umi-OCR.exe

wine ~/Desktop/Umi-OCR_Rapid_dev_20231114/Umi-OCR.exe
# 打开浏览器访问容器的 80 端口进入 ubuntu 服务器查看

后期可以优化一下容器的大小，开放`1224`端口到宿主机，方便快速集成`ocr`服务

Answer 6 · 2024-07-28T03:28:28.000Z

最新版本，已支持原生Linux版本和Docker部署，见 Docker部署文档。