首页 开发技术 C++     /    基于GPU的klt跟踪算法,如今比较流行的基于光流分析的视频跟踪算法

基于GPU的klt跟踪算法,如今比较流行的基于光流分析的视频跟踪算法

上传者: q794504522 | 上传时间:2016/11/17 18:46:44 | 文件大小:83KB | 文件类型:zip
基于GPU的klt跟踪算法,如今比较流行的基于光流分析的视频跟踪算法
基于GPU的klt跟踪算法,如今比较流行的基于光流分析的视频跟踪算法

文件下载

资源详情

[{"title":"(45个子文件83KB)基于GPU的klt跟踪算法,现在比较流行的基于光流分析的视频跟踪算法","children":[{"title":"GPU-KLT+FLOW-1.0","children":[{"title":"README.TXT <span style='color:#111;'>2.89KB</span>","children":null,"spread":false},{"title":"Math","children":[{"title":"v3d_linearbase.h <span style='color:#111;'>37.45KB</span>","children":null,"spread":false},{"title":"v3d_linear.h <span style='color:#111;'>17.23KB</span>","children":null,"spread":false}],"spread":true},{"title":"GL","children":[{"title":"Shaders","children":[{"title":"pyramid_with_derivative_pass1h.cg <span style='color:#111;'>5.81KB</span>","children":null,"spread":false},{"title":"pyramid_pass1v.cg <span style='color:#111;'>755B</span>","children":null,"spread":false},{"title":"klt_detector_pass1.cg <span style='color:#111;'>904B</span>","children":null,"spread":false},{"title":"klt_detector_traverse_histpyr.cg <span style='color:#111;'>2.43KB</span>","children":null,"spread":false},{"title":"pyramid_pass1h.cg <span style='color:#111;'>839B</span>","children":null,"spread":false},{"title":"klt_tracker.cg <span style='color:#111;'>3.48KB</span>","children":null,"spread":false},{"title":"pyramid_with_derivative_pass2.cg <span style='color:#111;'>577B</span>","children":null,"spread":false},{"title":"klt_detector_discriminator.cg <span style='color:#111;'>562B</span>","children":null,"spread":false},{"title":"klt_detector_nonmax.cg <span style='color:#111;'>811B</span>","children":null,"spread":false},{"title":"OpticalFlow","children":[{"title":"tvl1_flow_relaxed_update_uv.cg <span style='color:#111;'>2.04KB</span>","children":null,"spread":false},{"title":"tvl1_flow_relaxed_update_p.cg <span style='color:#111;'>1.04KB</span>","children":null,"spread":false},{"title":"tvl1_flow_relaxed_compute_UV.cg <span style='color:#111;'>1.02KB</span>","children":null,"spread":false}],"spread":false},{"title":"pyramid_pass2.cg <span style='color:#111;'>1012B</span>","children":null,"spread":false},{"title":"undistort_parametric.cg <span style='color:#111;'>1.84KB</span>","children":null,"spread":false},{"title":"klt_tracker_with_gain.cg <span style='color:#111;'>4.03KB</span>","children":null,"spread":false},{"title":"pyramid_with_derivative_pass1v.cg <span style='color:#111;'>3.19KB</span>","children":null,"spread":false},{"title":"klt_detector_build_histpyr.cg <span style='color:#111;'>526B</span>","children":null,"spread":false},{"title":"klt_detector_pass2.cg <span style='color:#111;'>1.02KB</span>","children":null,"spread":false},{"title":"flow_warp_image.cg <span style='color:#111;'>2.74KB</span>","children":null,"spread":false}],"spread":false},{"title":"v3d_gpuklt.cpp <span style='color:#111;'>29.22KB</span>","children":null,"spread":false},{"title":"v3d_gpuflow.h <span style='color:#111;'>3.72KB</span>","children":null,"spread":false},{"title":"v3d_gpupyramid.h <span style='color:#111;'>2.27KB</span>","children":null,"spread":false},{"title":"v3d_gpuundistort.cpp <span style='color:#111;'>8.05KB</span>","children":null,"spread":false},{"title":"v3d_gpuundistort.h <span style='color:#111;'>2.93KB</span>","children":null,"spread":false},{"title":"v3d_gpuklt.h <span style='color:#111;'>10.31KB</span>","children":null,"spread":false},{"title":"v3d_gpubase.cpp <span style='color:#111;'>45.08KB</span>","children":null,"spread":false},{"title":"v3d_gpupyramid.cpp <span style='color:#111;'>18.45KB</span>","children":null,"spread":false},{"title":"v3d_gpubase.h <span style='color:#111;'>13.58KB</span>","children":null,"spread":false},{"title":"v3d_gpuflow.cpp <span style='color:#111;'>18.85KB</span>","children":null,"spread":false}],"spread":false},{"title":"COPYING.TXT <span style='color:#111;'>7.46KB</span>","children":null,"spread":false},{"title":"CMakeLists.txt <span style='color:#111;'>1.09KB</span>","children":null,"spread":false},{"title":"Base","children":[{"title":"v3d_timer.h <span style='color:#111;'>3.86KB</span>","children":null,"spread":false},{"title":"v3d_serialization.h <span style='color:#111;'>29.17KB</span>","children":null,"spread":false},{"title":"v3d_exception.h <span style='color:#111;'>2.38KB</span>","children":null,"spread":false},{"title":"v3d_utilities.h <span style='color:#111;'>3.77KB</span>","children":null,"spread":false},{"title":"v3d_image.cpp <span style='color:#111;'>26.57KB</span>","children":null,"spread":false},{"title":"v3d_image.h <span style='color:#111;'>8.95KB</span>","children":null,"spread":false}],"spread":true},{"title":"Apps","children":[{"title":"GL","children":[{"title":"tvl1_flow.cpp <span style='color:#111;'>9.35KB</span>","children":null,"spread":false},{"title":"klt_for_video.cpp <span style='color:#111;'>8.18KB</span>","children":null,"spread":false},{"title":"CMakeLists.txt <span style='color:#111;'>499B</span>","children":null,"spread":false}],"spread":true},{"title":"CMakeLists.txt <span style='color:#111;'>76B</span>","children":null,"spread":false}],"spread":true},{"title":"build","children":null,"spread":false},{"title":"Config","children":[{"title":"v3d_macros.cmake <span style='color:#111;'>1.09KB</span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

  • 放牛娃不吃草:
    是一个演示程序,通过调用GL的接口来实现的,没有看到GPU内部编程,希望有点文档2017-08-02
  • cloudland_h:
    演示性例程,有比较好的参考价值,谢谢楼主分享!2015-08-15

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明