aardio的opencv库

Last update: Dec 31, 2022

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Overview

opencv_aardio

dll库下载地址：https://github.com/xuncv/opencv-plugin/releases

import cv2
img = cv2.imread("./images/Lena.jpg",1)
img = cv2.medianBlur(img,5)
cv2.imshow( "窗口标题",img )
cv2.imwrite("result.jpg",img)
cv2.waitKey(0)

opencv具有500多个跨平台的图像处理函数，是目前应用最广的数字图像库。opencv历史发展过程中由C接口慢慢转向C++接口，使其他语言（python除外）调用opencv的难度增大。最近找到一个针对.NET的封装库项目OpenCvSharp ，对opencv的接口进行了重新封装，对opencv版本的跟进也很及时。

虽然这个库面向.NET，但其封装的接口对aardio异常友好。使用aardio调用dll时，甚至比.NET更简单方便。

比如Mat类作为参数时，.NET的实现是添加一个CvPtr成员，用来存储Mat指针，然后每次需取一次CvPtr作为dll接口的指针，一次api调用需要封装3次。aardio的实现就非常优雅，在mat类代码中只需修改下属性表,就可以让dll直接使用aardio的mat对象

_metaProperty = ..util.metaProperty(
		_topointer = function(){
			return owner.handle; 
		}
		...
)

甚至不需要声明API接口，就可以直接调用API。

var imread = dll["imgcodecs_imread"];
imread(srcMat,1);

基于以上几点，我开始尝试使用aardio对opencv进行封装，接口实现上尽量接近opencv-python风格，降低学习成本。

aardio原生支持opencv，我希望能解决以下问题：

充分融合aardio的胶水特性，增强aardio图像处理能力。
结合aardio桌面优势，如制作上位机软件时可提高工程进度。
使opencv项目轻量化。（我的conda文件夹已经10+G了）。
提高opencv启动速度，在算法测试中提高效率。
实时窗体显示,便于调参。

2021年4月18日

Comments

下载后提未错误putTextZH为NULL

aardio：运行时错误

错误行号:#4 文件:[string "import cv2..."]: 不支持此操作:call 定义类型:method(table) 名字:'putTextZH' 类型:null

调用栈: [string "import cv2..."]:4: in main chunk

确定

opened by kwan3277 2
提示：Cannot load library

已下载DLL放置在\lib\cv2.res，运行时提示：

aardio：运行时错误

文件:[string "import cv2..."] 错误行号:#1 错误:import cv2 failed :

文件:...esktop\opencv_aardio-main\lib\cv2_.aardio 错误行号:#2 错误:Cannot load library '~/lib/cv2/.res/OpenCvSharpExtern.dll'.

调用栈: [kernel]: in function 'import' [string "import cv2..."]:1: in main chunk

确定

是不是因为DLL文件下载的不对？系统win10x64

opened by kwan3277 2
CV2默认库里的bitwise_or，bitwise_xor函数是否有个小BUG？

`bitwise_or = function(src1,src2,mask){ var dst = ..cv2.mat(); mask = mask ? (mask.cvPtr) var err = dll.core_bitwise_or(src1.cvPtr,src2.cvPtr.dst.cvPtr,null); //这里是否应该为：src2.cvPtr,dst.cvPtr,null return dst; }

bitwise_xor = function(src1,src2,mask){ var dst = ..cv2.mat(); mask = mask ? (mask.cvPtr) var err = dll.core_bitwise_xor(src.cvPtr,src2.cvPtr,dst.cvPtr,null) //这里是否应该为src1.cvPtr,src2.cvPtr,dst.cvPtr,null return dst; }`

改后调用正常，没改前总报错

opened by zhhl99 1

反馈几个问题

1、cv2.Mat 和 cv2.MatExpr 库的库文件名，首字母未改为大写（mat.aardio matExpr.aardio），好像会造成传错参数后，无法弹出错误提示，直接退出的问题。 2、从 bitmap 创建 cv2.Mat 对象时，有些像素格式的图片显示不正常，我使用以下代码显示常见像素格式图片：

    //bitmap传入
    elseif(tArg == type.table && arg[["pBitmap"]]){
        var data = arg.lockMemory(,0x26200A);
        err,ret = dll.core_Mat_new8(arg.height,arg.width,0x18/*_CV_8UC4*/,data.Scan0,data.Stride,{ptr value});
        this.handle = ret.value;
        arg.unlockMemory(data);
    }

3、cv2.Mat 对象的toBitmap() 好像会造成内存泄漏（即使转换后，手动释放 cv2.Mat对象和bitmap对象），我使用以下代码实现，暂时未发现内存大幅上涨的现象（转换后，手动释放 cv2.Mat对象和bitmap对象）

toBitmap = function(){
	if(this.empty() or this.depth() != 0/*_CV_8U*/) return null;
    var pixelFormats = {
    	[1] = 0x30803;
    	[3] = 0x21808;
    	[4] = 0x26200A;
    }
    
    var pixelFormat = pixelFormats[this.channels()];
    var stride = this.step1();
    if(stride % 4 ){
    	stride = stride - (stride % 4 ) + 4;
    }
	return ..gdip.bitmap( this.width,this.height,pixelFormat,this.data,stride );
}

opened by iycai 0

Releases(0.0.1)

0.0.1(Jun 22, 2021)

models store
Source code(tar.gz)
Source code(zip)
detect.caffemodel(942.80 KB)
detect.prototxt(41.65 KB)
face_mask_detection.caffemodel(3.86 MB)
face_mask_detection.prototxt(13.17 KB)
sr.caffemodel(23.36 KB)
sr.prototxt(5.84 KB)
yolo-fastest-xl.cfg(9.47 KB)
yolo-fastest-xl.weights(3.48 MB)

Owner

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aardio的opencv库

Related tags

Overview

opencv_aardio

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Comments

下载后提未错误putTextZH为NULL

aardio：运行时错误

错误行号:#4 文件:[string "import cv2..."]: 不支持此操作:call 定义类型:method(table) 名字:'putTextZH' 类型:null

调用栈: [string "import cv2..."]:4: in main chunk

确定

提示：Cannot load library

已下载DLL放置在\lib\cv2.res，运行时提示：

aardio：运行时错误

文件:...esktop\opencv_aardio-main\lib\cv2_.aardio 错误行号:#2 错误:Cannot load library '~/lib/cv2/.res/OpenCvSharpExtern.dll'.

调用栈: [kernel]: in function 'import' [string "import cv2..."]:1: in main chunk

确定

CV2默认库里的bitwise_or，bitwise_xor函数是否有个小BUG？

反馈几个问题

Releases(0.0.1)

0.0.1(Jun 22, 2021)

Owner

Generic framework for historical document processing

Repository collecting all the submodules for the new PyTorch-based OCR System.

A curated list of resources dedicated to scene text localization and recognition

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Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"

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