1.0 Overview 3 1.1 Goals of a Plug and Play System BIOS 4 1.2 Enhancements to the current BIOS architecture 5 1.3 Elements of the Plug and Play BIOS architecture 6 1.3.1 Bi-modal functionality 6 1.3.2 OS Independence 6 1.3.3 Expandability 6 1.4 Installation Structure 7 2.0 System BIOS Initialization 7 2.1 System BIOS POST Requirements 7 2.1.1 System Board Storage Requirements 8 2.1.2 System BIOS Resource Management 9 2.1.3 Isolating Committed Resources 9 2.1.4 System BIOS Resource Allocation 9 2.2 Plug and Play ISA Card Support 11 2.2.1 Assigning CSN to Plug and Play ISA cards 11 2.2.2 Initializing Plug and Play ISA Cards 11 2.3 BIOS POST Option ROM Initialization 12 2.4 Transferring Control to the Operating System 13 2.5 POST Execution flow 13 3.0 Option ROM Support 16 3.1 Option ROM Header 16 3.2 Expansion Header for Plug and Play 17 3.3 Option ROM Initialization 22 3.4 Option ROM Initialization flow 23 3.5 ISA Option ROMs and Resource Mapping 24 3.6 Error Recovery: Returning to the Boot flow 24 4.0 Configuration Support 25 4.1 System Device Configuration List 25 4.2 System Device Node Definition 25 4.3 Plug and Play BIOS Functions 29 4.4 Plug and Play Installation Check 29 4.4.1 System BIOS Plug and Play Compliance - "$PnP" 32 4.5 System Configuration Interface 34 4.5.1 Function 0 - Get Number of System Device Nodes 35 4.5.2 Function 1 - Get System Device Node 36 4.5.3 Function 2 - Set System Device Node 38 4.6 Event Notification Interface 40 4.6.1 Function 3 - Get Event 42 4.6.2 Function 4 - Send Message 43 4.6.3 Function 5 - Get Docking Station Information 47 4.6.4 Function 6 - Reserved 49 4.6.5 Function 7 - Reserved 49 4.6.6 Function 8 - Reserved 49 4.7 Extended Configuration Services 50 4.7.1 Function 9 - Set Statically Allocated Resource Information 51 4.7.2 Function 0Ah - Get Statically Allocated Resource Information 53 4.7.3 Function 40h - Get Plug & Play ISA Configuration Structure 54 4.7.4 Function 41h - Get Extended System Configuration Data (ESCD) Info 56 4.7.5 Function 42h - Read Extended System Configuration Data (ESCD) 56 4.7.6 Function 43h - Write Extended System Configuration Data (ESCD) 57 4.8 Power Management Services 58 4.8.1 Function 0Bh - Get APM ID Table 58 Appendix A: Generic Option ROM Headers 61 Appendix B: Device Driver Initialization Model 62 Appendix C: Return Codes
2023-07-19 17:29:04 396KB System BIOS Initialization Option
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ora-01033:oracle initialization or shutdown in progress 解决方法 ora-01033:oracle initialization or shutdown in progress 解决方法 ora-01033:oracle initialization or shutdown in progress 解决方法 ora-01033:oracle initialization or shutdown in progress 解决方法
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DSP中GEL文件的编写相关。和硬件结合的比较密切,有需要的朋友可以下载。
2022-09-14 18:00:42 62KB creating gel_fil
Abstract— Visual-inertial SLAM (VI-SLAM) requires a good initial estimation of the initial velocity, orientation with respect to gravity and gyroscope and accelerometer biases. In this paper we build on the initialization method proposed by Martinelli [1] and extended by Kaiser et al. [2], modifying it to be more general and efficient. We improve accuracy with several rounds of visual-inertial bundle adjustment, and robustify the method with novel observability and consensus tests, that discard erroneous solutions. Our results on the EuRoC dataset show that, while the original method produces scale errors up to 156%, our method is able to consistently initialize in less than two seconds with scale errors around 5%, which can be further reduced to less than 1% performing visual-inertial bundle adjustment after ten seconds
2022-06-01 16:22:13 970KB ICRA
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使用 QT5.12.5 版本,进行 HTTPS 请求时,出现 TLS initialization failed,缺少的 OpenSSL 的库
2022-05-06 16:09:59 1.21MB Qt
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Android Initialization Process
2022-05-02 09:06:09 9KB android 源码软件
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matlab人脸识别代码具有两个阶段的人脸对齐重新初始化 CVPR 2017论文“具有两阶段重新初始化的深度回归架构,用于高性能面部地标检测”的测试代码。 要求 Linux OS上Caffe平台的一般环境:。 Matlab 2013a或更高版本 CUDA(如果使用Nvidia GPU) 介绍 由于不同的面部检测器通常会返回具有不同比例和中心偏移的各种面部边界框,因此如果面部界标检测算法可以产生鲁棒的结果而不过多依赖面部检测结果,这将非常有用。 为了显式处理基于回归的界标检测方法中的初始化问题,我们提供了一种具有从头到尾学习的“两阶段重新初始化”的深度回归体系结构。 我们提出的深度架构经过了端到端的培训,并使用各种不稳定的初始化方法获得了可喜的结果。 与许多竞争算法相比,它还具有出色的性能。 我们的方法与其他基准方法在300W和AFLW数据集上的比较如下所示,更多细节可以在初始论文中找到。 运行测试代码 这些模型保存在百度SkyDrive中: 300W型号:链接:密码​​:qzmi aflw的型号:链接:密码​​:1j8e 在此项目中成功构建CAFFE并下载模型后,只需在demo文件夹中
2021-11-21 16:10:27 59.26MB 系统开源
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(1)I:初始化(Initialization)。从终端读入字符集大小n,以及n个字符和n个权值,建立哈夫曼树,并将它存于文件hfmTree中。 (2)E:编码(Encoding)。利用已建好的哈夫曼树(如不在内存,则从文件htmTree中读入),对文件ToBeTran中的正文进行编码,然后将结果存入文件CodeFile中。 (3)D:译码(Decoding)。利用已建好的哈夫曼树将文件CodeFile中的代码进行译码,结果存入文件TextFile中。 (4)P:印代码文件(Print)。将文件CodeFile以紧凑格式显示在终端上,每行50个代码。同时将此字符形式的编码写入文件CodePrint中。 (5)T:印哈夫曼树(Tree Printing)。将已在内存中的哈夫曼树以直观的方式(树或凹入表形式)显示在终端上,同时将此字符形式的哈夫曼树写入文件TreePrint中。 [测试数据]   (1)数据一:已知某系统在通信联络中只可能出现8种字符,其概率分别为0.05,0.29,0.07,0.08,0.14,0.23,0.03,0.11,以此设计哈夫曼编码。利用此数据对程序进行调试。 (2)用下表给出的字符集和频度的实际统计数据建立哈夫曼树,并实现以下报文的编码和译码:“THIS PROGRAM IS MY FAVORITE”。 字符 A B C D E F G H I J K L M 频度 186 64 13 22 32 103 21 15 47 57 1 5 32 20 字符 N O P Q R S T U V W X Y Z 频度 57 63 15 1 48 51 80 23 8 18 1 16 1
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