Example to support XML files using MSXML.
=========================================
XML (Extensible Markup Language) is a commonly used basis for representing a
huge range of structured data file formats. The specification is maintained by
the World Wide Web Consortium (W3C?. This plugin is intended as an example of
how XML data can be read with a DataPlugin. You can adjust it to meet the needs
of your own XML file format.
After installing the URI file (double click on it), you can find the VBScript
file located at
"C:\Program Files\National Instruments\Shared\USI\plugins\DataPlugins\XML Example"
You can make changes to this file to read your specific XML file.
This the third edition of the Writing Device Drivers articles. The first article helped to simply get you acquainted with device drivers and a simple framework for developing a device driver for NT. The second tutorial attempted to show to use IOCTLs and display what the memory layout of Windows NT is. In this edition, we will go into the idea of contexts and pools. The driver we write today will also be a little more interesting as it will allow two user mode applications to communicate with each other in a simple manner. We will call this the “poor man’s pipes” implementation.
Parses UK Profile 1.05/1.06 Object Carousel and saves files to disk (all
stored under /tmp/cache at the moment). The files are the scripts and
text/image data for MHEG5, the interactive(ish) element of digital TV. At
the moment the MHEG scripts are not parsed, so to duplicate that
interactive experience, speedy usage of "cat" and "xv" is recommended.
DDR SDRAM控制器的VHDL源代碼，含詳細設計文檔。
The DDR, DCM, and SelectI/O™ features in the Virtex™ -II architecture make it the perfect
choice for implementing a controller of a Double Data Rate (DDR) SDRAM. The Digital Clock
Manager (DCM) provides the required Delay Locked Loop (DLL), Digital Phase Shift (DPS),
and Digital Frequency Synthesis (DFS) functions. This application note describes a controller
design for a 16-bit DDR SDRAM. The application note and reference design are enhanced
versions of XAPP200 targeted to the Virtex-II series of FPGAs. At a clock rate of 133 MHz,
16-bit data changes at both clock edges. The reference design is fully synthesizable and
achieves 133 MHz performance with automatic place and route tools.
Web based binary image upload for ARM LPC2366 controller. Toolchain is Keil Realview MDK ARM ver 3.2 with RL ARM Real time Lib 3.40. RAR file contains webiap2.cgi file and HTTP_cgi file. HTTP_cgi file is modified in cgi_process_data to upload binary image of application using HTTP protcol. File upload is using HTML syntax method=\"post\" ENCTYPE=\"multipart/form-data\
This function is another tutorial on how to do computer vision type stuff with Octave/Matlab. It shows how to implement
Hartley and Zisserman s "DLT" algorithm for estimating a homography from point correspondences
Like many of my colleagues in this industry, I learned Windows programming from Charles Petzold s Programming Windows—a classic programming text that is the bible to an entire generation of Windows programmers. When I set out to become an MFC programmer in 1994, I went shopping for an MFC equivalent to Programming Windows. After searching in vain for such a book and spending a year learning MFC the old-fashioned way, I decided to write one myself. It s the book you hold in your hands. And it s the book I would like to have had when I was learning to program Windows the MFC way.
The object detector described below has been initially proposed by
P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a
Dalal-Triggs detector that uses a single filter on histogram of
oriented gradients (HOG) features to represent an object category.
This detector uses a sliding window approach, where a filter is
applied at all positions and scales of an image. The first
innovation is enriching the Dalal-Triggs model using a
star-structured part-based model defined by a “root” filter
(analogous to the Dalal-Triggs filter) plus a set of parts filters
and associated deformation models. The score of one of star models
at a particular position and scale within an image is the score of
the root filter at the given location plus the sum over parts of the
maximum, over placements of that part, of the part filter score on
its location minus a deformation cost easuring the deviation of the
part from its ideal location relative to the root. Both root and
part filter scores are defined by the dot product between a filter
(a set of weights) and a subwindow of a feature pyramid computed
from the input image. Another improvement is a representation of the
class of models by a mixture of star models. The score of a mixture
model at a particular position and scale is the maximum over
components, of the score of that component model at the given
location.
