Matlab 乳腺癌数据图像处理 ASAP 软件的安装与使用

[Lauren_Orsini]

这是官网的介绍 http://grand-challenge.org/site/camelyon16/data/
Automated Slide Analysis Platform (ASAP) is an open source platform for visualizing, annotating and automatically analyzing whole-slide histopathology images. ASAP is built on top of several well-developed open source packages like OpenSlide, Qt and OpenCV.
我现从这个网站下载了数据（一共15个T啊~~~），但是这些图片（3维2D彩图）容量过大且必须用ASAP打开。我想知道这个ASAP平台是怎么玩的？
还有，我用CNN手写字程序加载这个图片，因为根本就不能imread(['G:\Train\',num2str(i),'.tif']); 这里面的图片。不知如何加载这个大容量图片进程序？
上传了CNN手写字的程序
求各位大神赐教啊~

[shiter]

下面链接找到，按照readme，编译使用即可 https://github.com/GeertLitjens/ASAP Installation Currently ASAP is only supported under 64-bit Windows machines. Compilation on other architectures should be relatively straightforward as no OS-specific libraries or headers are used. The easiest way to install the software is to download the binary installer from the release page. Compilation To compile the code yourself, some prerequesites are required. First, we use CMake as our build system and Microsoft Visual Studio as the compiler. The software depends on numerous third-party libraries: Boost (http://www.boost.org/) OpenCV (http://www.opencv.org/) Qt (http://www.qt.io/) libtiff (http://www.libtiff.org/) libjpeg (http://libjpeg.sourceforge.net/) JasPer (http://www.ece.uvic.ca/~frodo/jasper/) DCMTK (http://dicom.offis.de/dcmtk.php.en) SWIG (http://www.swig.org/) (only for Python wrapping of the IO library) OpenSlide (http://openslide.org/) PugiXML (http://pugixml.org/) zlib (http://www.zlib.net/) unittest++ (https://github.com/unittest-cpp/unittest-cpp) To help developers compile this software themselves we provide the necesarry binaries (Visual Studio 2013, 64-bit) for all third party libraries except Boost, OpenCV and Qt (due to size constraints). If you want to provide the packages yourself, there are no are no strict version requirements, except for libtiff (4.0.1 and higher), Boost (1.55 or higher), Qt (5.1 or higher) and OpenCV (2.4 or higher). To compile the source code yourself, first make sure all third-party libraries are installed. If you download the Boost-binaries for Windows (http://sourceforge.net/projects/boost/files/boost-binaries/), you need to rename the folder containing the .lib and .dll files to lib (otherwise the CMake-modules provided by CMake will not be able to find the libraries). Subsequently, fire up CMake, point it to a source and build directory and hit Configure. Select your compiler of preference and hit ok. This will start the iterative process of CMake trying to find a third party dependency and you specifiying its location. The first one to provide will be Boost. To allow CMake to find Boost add a BOOST_ROOT variable pointing to for example C:/libs/boost_1_57_0. Then press Configure again and CMake will ask for the next library. These should be pretty straightforward to fill in (e.g. TIFF_LIBRRARY should point to tiff.lib, TIFF_INCLUDE_DIRECTORY to |folder to libtiff|\include. If more steps are unclear, please open a ticket on the Github issue-tracker. During configuration you will notice that several parts of ASAP can be built seperately (e.g. the viewer). To build this part, simply check the component and hit Configure again. The 'Package on install'-option will allow you to build a binary setup-package like the one provided on the Github-release page, but requires NSIS to be installed. After all the dependencies are resolved, hit Generate and CMake will create a Visual Studio Solution file which can be used to compile the source code.

[Tshzzz]

同问这个问题。。。难道这个里面的库要一个一个编译？请问楼主解决了吗

[Lauren_Orsini]

还没有解决啊，每个库都要装，要么cmake，要么手动编译