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simpleTexture
- 基于GPU的通用计算，利用显存的cache是提高算法效率的重要方面，该例子是在CUDA环境下如何读取纹理的程序。-based GPU generic terms, the use of video memory cache is to improve the efficiency of the algorithm, The example is the CUDA environment how to read texture procedures.
over-
- 使用CUDA开发的去隔行，是对C语言版的加速，处理文件为foreman_cif.YUV.由于视频文件太大，所以没传。开发环境为VS2008+cuda-CUDA development deinterlacing is the C language version of the accelerated processing documents foreman_cif.YUV video file is too large, so do not pass. Development environme
action_vip_TVbox
- FPGA视频采集卡！使用FPGA采集CCD模拟信号，并DA转换为数字信号，用VGA输出显示！-FPGA video capture card! CCD analog signal using FPGA acquisition, and the DA is converted to a digital signal with VGA output!
h264cuda
- H.264编解码的CUDA实现，并行加速算法，内部实现了H.264视频编解码的CUDA实现，能够编译通过，已经过测试，并且还添加了注释信息。-CUDA H.264 codec implementation, parallel acceleration algorithms, the internal implementation of the H.264 video codec CUDA realization, to compile, has been tested, and also add
background_substraction.cpp
- Detects motion on video frames
opengl-double-channal
- CUDA 实现视频双路输出，自己的总结理解，和源代码-CUDA achieve dual video output, understand their own summary, and source code
Colfax-HOW-Day-05
- 对性能优化的讨论。本次会议制定了优化路线图，将优化技术分为五类优化。会议的演讲部分展示了一些从这5类技术的一个示例应用程序的N体模拟实施中的应用。该视频还提供了额外的案例研究，在该研究中的优化证明。会议的实践部分的N体模拟和措施的性能提升在英特尔至强E5处理器和第一代英特尔Xeon Phi协处理器获得的优化过程。-In Session 5 we begin the discussion of performance optimization. This session lays out the
rmnnang
- 网络视频播放系统,主要用于网吧和企业,学校等场合 可以参考-Network video broadcast system, mainly used for Internet cafes and enterprises, schools, etc You can refer to
ZRYOQR
- 视频截取部分源代码,使用默认驱动,支持大部分摄像头,不错-Video capture part of the source code, using the default drive, supports most of the cameras, is good
蒙特卡洛光子实验
- 基于WINDOWS平台下，VC，英特尔显卡的蒙特卡洛光子实验。(Based on the WINDOWS platform, VC, Intel graphics video Monte Carlo photon experiment.)