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Description: 本文件是图像场景识别并进行分类的程序，已运行成功。
分别利用1 tiny image描述和最近邻分类器
2 bags of sifts描述和最近邻分类器
3bags of sifts描述和线性svm分类器进行场景分类识别的。
在主程序proj3中将FEATURE 改成tiny image，CLASSIFIER 改成nearest neighbor，注释其他FEATURE 和CLASSIFIER的选择就可以实现第一种场景分类识别：tiny image描述和最近邻分类器。以此类推就可以依次改FEATURE 和CLASSIFIER 形成第二种情况：bags of sifts描述和最近邻分类器和第三种情况：bags of sifts描述和线性svm分类器进行场景分类识别。(This document is an image scene recognition and classification of procedures have been run successfully.)
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Size: 18185216 |
Author: wujie123 |
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Description: 完成了GSM的TCPIP,HTTP,GPRS的底层驱动实现(GSM TINY implement tcpip,http,gprs dirver)
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Size: 81920 |
Author: only2018 |
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Description: 从“我就是我”的开源工程下载的代码，详见压缩包中的读我说明(it is down form kapoo-pai's Git Project, look up the readme.md in zip file)
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Size: 1122304 |
Author: LeonFFFFFFFFFFFFFFF |
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Description: 其中包括tinyc语言程序的scanner,parser,analyzer等相关程序。(It includes scanner, parser, analyzer and other related programs of TinyC language program.)
Platform: |
Size: 17408 |
Author: 落落c |
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Description: GoAhead是一个开源(商业许可)、简单、轻巧、功能强大、可以在多个平台运行的嵌入式Web Server。
GoAhead Web Server是为嵌入式实时操作系统（RTOS）量身定制的Web服务器。它的目标也许不在于WEB服务器市场，而是面向当嵌入式系统深入我们的工作与生活的明天，那时，它也许会成为使用最广泛的WEB服务器。
GoAhead Web Server构建在设备管理框架（Device Management Framework）之上，用户可以像标准的Web Services一样来部署自己的应用，不需要额外的编程。GoAhead Web Server支持SOAP客户端（Simple Object Access Protocol，简单对象访问协议）。(GoAhead is the world's most popular tiny embedded web server and is deployed in hundreds of millions of devices. GoAhead is simple, compact and ideal for the the efficient hosting of embedded web applications. GoAhead is only 115K of code, yet provides a powerful and comprehensive set of features for secure web applications.
GoAhead has a strong set of features including: SSL, authentication, security limits, and logging. With these features, GoAhead can be easily embedded in your device to run web applications.
Compact and Efficient
GoAhead is optimized for hosting dynamic embedded web applications via an event driven, single-threaded core. It is very compact (115K code) and is especially effective in reducing the per-request memory overhead for web applications.)
Platform: |
Size: 1512448 |
Author: Blueurchin |
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Description: experiment attiny 85 embedded
Platform: |
Size: 918 |
Author: kaeyxetaners |
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