如何编译和安装Xenomai-forge到Linux系统(Fedora 14)

本文介绍Xenomai实时系统的配置与编译流程,包括使用configure脚本进行系统适配,设置安装目录及选项,以及指定特定环境变量的方法。还提供了编译Xenomai-forge项目的步骤。

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[rtems@silver build]$ ../configure -h  //配置脚本的情况
`configure' configures Xenomai 2.6.0 to adapt to many kinds of systems.

Usage: ../configure [OPTION]... [VAR=VALUE]...

To assign environment variables (e.g., CC, CFLAGS...), specify them as
VAR=VALUE.  See below for descriptions of some of the useful variables.

Defaults for the options are specified in brackets.

Configuration:
  -h, --help              display this help and exit
      --help=short        display options specific to this package
      --help=recursive    display the short help of all the included packages
  -V, --version           display version information and exit
  -q, --quiet, --silent   do not print `checking ...' messages
      --cache-file=FILE   cache test results in FILE [disabled]
  -C, --config-cache      alias for `--cache-file=config.cache'
  -n, --no-create         do not create output files
      --srcdir=DIR        find the sources in DIR [configure dir or `..']

Installation directories:
  --prefix=PREFIX         install architecture-independent files in PREFIX
                          [/usr/xenomai]
  --exec-prefix=EPREFIX   install architecture-dependent files in EPREFIX
                          [PREFIX]

By default, `make install' will install all the files in
`/usr/xenomai/bin', `/usr/xenomai/lib' etc.  You can specify
an installation prefix other than `/usr/xenomai' using `--prefix',
for instance `--prefix=$HOME'.

For better control, use the options below.

Fine tuning of the installation directories:
  --bindir=DIR            user executables [EPREFIX/bin]
  --sbindir=DIR           system admin executables [EPREFIX/sbin]
  --libexecdir=DIR        program executables [EPREFIX/libexec]
  --sysconfdir=DIR        read-only single-machine data [PREFIX/etc]
  --sharedstatedir=DIR    modifiable architecture-independent data [PREFIX/com]
  --localstatedir=DIR     modifiable single-machine data [PREFIX/var]
  --libdir=DIR            object code libraries [EPREFIX/lib]
  --includedir=DIR        C header files [PREFIX/include]
  --oldincludedir=DIR     C header files for non-gcc [/usr/include]
  --datarootdir=DIR       read-only arch.-independent data root [PREFIX/share]
  --datadir=DIR           read-only architecture-independent data [DATAROOTDIR]
  --infodir=DIR           info documentation [DATAROOTDIR/info]
  --localedir=DIR         locale-dependent data [DATAROOTDIR/locale]
  --mandir=DIR            man documentation [DATAROOTDIR/man]
  --docdir=DIR            documentation root [DATAROOTDIR/doc/xenomai]
  --htmldir=DIR           html documentation [DOCDIR]
  --dvidir=DIR            dvi documentation [DOCDIR]
  --pdfdir=DIR            pdf documentation [DOCDIR]
  --psdir=DIR             ps documentation [DOCDIR]

Program names:
  --program-prefix=PREFIX            prepend PREFIX to installed program names
  --program-suffix=SUFFIX            append SUFFIX to installed program names
  --program-transform-name=PROGRAM   run sed PROGRAM on installed program names

System types:
  --build=BUILD     configure for building on BUILD [guessed]
  --host=HOST       cross-compile to build programs to run on HOST [BUILD]
  --target=TARGET   configure for building compilers for TARGET [HOST]

Optional Features:
  --disable-option-checking  ignore unrecognized --enable/--with options
  --disable-FEATURE       do not include FEATURE (same as --enable-FEATURE=no)
  --enable-FEATURE[=ARG]  include FEATURE [ARG=yes]
  --disable-dependency-tracking  speeds up one-time build
  --enable-dependency-tracking   do not reject slow dependency extractors
  --enable-maintainer-mode  enable make rules and dependencies not useful
              (and sometimes confusing) to the casual installer
  --enable-shared[=PKGS]  build shared libraries [default=no]
  --enable-static[=PKGS]  build static libraries [default=yes]
  --enable-fast-install[=PKGS]
                          optimize for fast installation [default=yes]
  --disable-libtool-lock  avoid locking (might break parallel builds)
  --enable-debug          Enable debug mode in programs
  --enable-lores-clock    Enable low resolution clock
  --enable-clock-monotonic-raw
                          Use CLOCK_MONOTONIC_RAW for timings
  --enable-assert         Enable runtime assertions
  --enable-async-cancel   Enable asynchronous cancellation
  --enable-pshared        Enable shared multi-processing for capable skins
  --enable-registry       Export real-time objects to a registry
  --enable-smp            Enable SMP support
  --enable-x86-sep        Enable x86 SEP instructions for issuing syscalls
  --enable-arm-tsc        You only need this option if you get the following
                          message when starting an application: Xenomai:
                          incompatible feature set (userland requires
                          "kuser_tsc ...", kernel provides "...",
                          missing="kuser_tsc"). In that case, this option
                          allows to select the machine for which a user-space
                          tsc emulation should be generated. Valid machines
                          are at91, kuser, imx, ixp4xx, omap, orion, pxa,
                          s3c24x, sa1100.
  --enable-arm-quirks     Enable quirks for specific systems. Currently
                          supported quirks are for sa1100 and xscale3.
  --disable-doc-install   Do not install documentation
  --enable-dox-doc        Build Doxygen documentation
  --enable-dbx            Build Docbook XML documentation.
  --enable-dbx-network    Try to access Docbook DTD and XSL stylesheets
                          through network (default is to die if local
                          installation can not be found by configure).
  --enable-verbose-latex  Uses LaTeX non-stop mode
  --enable-posix-auto-mlockall
                          Enable Xenomai POSIX skin library to automatically
                          call mlockall at startup. This option is mainly
                          useful for running third-parties programs such as
                          the Open Posix Testsuite unmodified with Xenomai
                          POSIX skin
  --enable-dlopen-skins   Disable TLS features and automatic main thread
                          mapping by the POSIX skin to allows dlopen'ing
                          Xenomai libs.

Optional Packages:
  --with-PACKAGE[=ARG]    use PACKAGE [ARG=yes]
  --without-PACKAGE       do not use PACKAGE (same as --with-PACKAGE=no)
  --with-core=<cobalt | mercury>
                          build for dual kernel or single image
  --with-cc=compiler      use specific C compiler
  --with-pic              try to use only PIC/non-PIC objects [default=use
                          both]
  --with-gnu-ld           assume the C compiler uses GNU ld [default=no]
  --with-dbx-root         specify the Docbook XML root (that is, the directory
                          where docbookx.dtd should be found). Default is to
                          use well-known locations (or network if
                          --enable-dbx-network was passed).
  --with-dbx-xsl-root     specify the Docbook XML XSL stylesheet root. Default
                          is to use well-known locations (or network if
                          --enable-dbx-network was passed)
  --without-__thread      do not use TLS features
  --with-testdir=<test-binaries-dir>
                          location for test binaries (defaults to $bindir)

Some influential environment variables:
  CC          C compiler command
  CFLAGS      C compiler flags
  LDFLAGS     linker flags, e.g. -L<lib dir> if you have libraries in a
              nonstandard directory <lib dir>
  LIBS        libraries to pass to the linker, e.g. -l<library>
  CPPFLAGS    (Objective) C/C++ preprocessor flags, e.g. -I<include dir> if
              you have headers in a nonstandard directory <include dir>
  CPP         C preprocessor
  CCAS        assembler compiler command (defaults to CC)
  CCASFLAGS   assembler compiler flags (defaults to CFLAGS)

Use these variables to override the choices made by `configure' or to help
it to find libraries and programs with nonstandard names/locations.

Report bugs to <xenomai-help@gna.org>.


参考资料:关于xen-config
[rtems@silver build]$ /usr/xenomai/bin/xeno-config
xeno-config --verbose
        --version="2.6.0"
        --cc="gcc"
        --ccld="gcc"
        --arch="i686-pc-linux-gnu"
        --prefix="/usr/xenomai"
        --library-dir="/usr/xenomai/lib"
Usage xeno-config --skin=skinname OPTIONS
Options :
        --help
        --v,--verbose
        --version
        --cc
        --ccld
        --arch
        --prefix
        --skin vxworks|psos|alchemy
        --cflags
        --ldflags
        --lib*-dir,--libdir,--user-libdir
        --core


关于编译xenomai-forge的步骤
cd xenomai-forge
mkdir build
cd build
../configure --with-core=mercury --enable-debug=full
make
su -c "make install"
su -c "make uninstall" //如果要清除以前安装的程序

### RT-DETRv3 网络结构分析 RT-DETRv3 是一种基于 Transformer 的实时端到端目标检测算法,其核心在于通过引入分层密集正监督方法以及一系列创新性的训练策略,解决了传统 DETR 模型收敛慢解码器训练不足的问题。以下是 RT-DETRv3 的主要网络结构特点: #### 1. **基于 CNN 的辅助分支** 为了增强编码器的特征表示能力,RT-DETRv3 引入了一个基于卷积神经网络 (CNN) 的辅助分支[^3]。这一分支提供了密集的监督信号,能够与原始解码器协同工作,从而提升整体性能。 ```python class AuxiliaryBranch(nn.Module): def __init__(self, in_channels, out_channels): super(AuxiliaryBranch, self).__init__() self.conv = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1) self.bn = nn.BatchNorm2d(out_channels) def forward(self, x): return F.relu(self.bn(self.conv(x))) ``` 此部分的设计灵感来源于传统的 CNN 架构,例如 YOLO 系列中的 CSPNet PAN 结构[^2],这些技术被用来优化特征提取效率并减少计算开销。 --- #### 2. **自注意力扰动学习策略** 为解决解码器训练不足的问题,RT-DETRv3 提出了一种名为 *self-att 扰动* 的新学习策略。这种策略通过对多个查询组中阳性样本的标签分配进行多样化处理,有效增加了阳例的数量,进而提高了模型的学习能力泛化性能。 具体实现方式是在训练过程中动态调整注意力权重分布,确保更多的高质量查询可以与真实标注 (Ground Truth) 进行匹配。 --- #### 3. **共享权重解编码器分支** 除了上述改进外,RT-DETRv3 还引入了一个共享权重的解编码器分支,专门用于提供密集的正向监督信号。这一设计不仅简化了模型架构,还显著降低了参数量推理时间,使其更适合实时应用需求。 ```python class SharedDecoderEncoder(nn.Module): def __init__(self, d_model, nhead, num_layers): super(SharedDecoderEncoder, self).__init__() decoder_layer = nn.TransformerDecoderLayer(d_model=d_model, nhead=nhead) self.decoder = nn.TransformerDecoder(decoder_layer, num_layers=num_layers) def forward(self, tgt, memory): return self.decoder(tgt=tgt, memory=memory) ``` 通过这种方式,RT-DETRv3 实现了高效的目标检测流程,在保持高精度的同时大幅缩短了推理延迟。 --- #### 4. **与其他模型的关系** 值得一提的是,RT-DETRv3 并未完全抛弃经典的 CNN 技术,而是将其与 Transformer 结合起来形成混合架构[^4]。例如,它采用了 YOLO 系列中的 RepNCSP 模块替代冗余的多尺度自注意力层,从而减少了不必要的计算负担。 此外,RT-DETRv3 还借鉴了 DETR 的一对一匹配策略,并在此基础上进行了优化,进一步提升了小目标检测的能力。 --- ### 总结 综上所述,RT-DETRv3 的网络结构主要包括以下几个关键组件:基于 CNN 的辅助分支、自注意力扰动学习策略、共享权重解编码器分支以及混合编码器设计。这些技术创新共同推动了实时目标检测领域的发展,使其在复杂场景下的表现更加出色。 ---
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