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易语言简单实现语法识别及程序编译源码例程程序结合易语言扩展功能支持库和多线程支持库,调用API函数简单实现程序的语法及编译原理。 -Easy language to achieve a simple syntax recognition and program compiler source code routines combined with easy language extensions to support the library and multi-threaded support library, call the API function to achieve a simple program syntax and compiler theory.
Update : 2024-05-08 Size : 19456 Publisher : zhch28

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易语言文字识别演示源码例程程序演示了文字笔画的识别思路。 -Easy language source code demo program demonstrates the idea of text strokes recognition.
Update : 2024-05-08 Size : 3072 Publisher : zhchiv

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一个基于matlab的多字体识别程序,是文字识别的小程序,有借鉴作用-A matlab-based multi-font recognition procedures, is a small program of text recognition, a reference function
Update : 2024-05-08 Size : 27648 Publisher : 张晶

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人脸识别小程序,人脸识些小程序,人脸区分-renlian shibie
Update : 2024-05-08 Size : 209920 Publisher : 岳庆兴

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使用海康威视摄像头,识别摄像头目标对象,程序源码(Identifying camera target objects)
Update : 2024-05-08 Size : 25845760 Publisher : 可可西999

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html的延迟跳转代码,拿实列举的列子,用着还不错(tiaozhuan shibie dai ma yongzhe haibucuo)
Update : 2024-05-08 Size : 209920 Publisher : 术跆

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车牌识别,可自己更改,matlab编辑,采用目标占图像百分比算法(License plate recognition, can be changed by itself, matlab editing, using target percentage algorithm)
Update : 2024-05-08 Size : 9216 Publisher : 洛泽亚

图像轨迹识别 ,可以识别视频或者是动图的移动轨迹(Image track recognition)
Update : 2024-05-08 Size : 3072 Publisher : 可妮可妮

该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤,一是进行图像去雾,采用暗通道的方法获取光透射率,从而去除雾霾。得到清晰的图片后,利用颜色的方法进行交通标志的定位,众所周知,交通标志基本是红,蓝,黄三色组成,根据RGB不同组合可以定位到不同颜色,因为存在误差,所以需要借助形态学相关知识,将得到的误干扰面积去除,从而实现精准定位。定位后,在原图基础上进行分割出彩色图标,利用bp神经网络方法,进行训练,识别,从而得出结果。本设计配有一个GUI可视化界面,操作简单容易上手。是个不错的选题。(This project is a traffic sign recognition system based on Matlab bp neural network in haze weather. There are two steps. One is image defogging, and the dark channel method is used to obtain light transmittance to remove haze. After getting clear pictures, use color method to locate traffic signs. As we all know, traffic signs are basically composed of red, blue and yellow. According to different combinations of RGB, different colors can be located. Because there are errors, we need to use morphological knowledge to remove the error interference area, so as to achieve accurate positioning. After positioning, the color icon is segmented on the basis of the original image. The BP neural network method is used to train and identify the color icon, and the result is obtained. This design is equipped with a GUI visual interface, which is easy to operate. It's a good topic.)
Update : 2024-05-08 Size : 83507200 Publisher : 可乐一生
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