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License: MIT License

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deep-learning deep-neural-networks inference openpose

dancinggaga's Introduction

DancingGaga

Openpose implementation using darknet framework, originated from openpose-darknet

Result

Steps to build from Visual Studio 2015

First you need to build lightnet
- git clone --recurse-submodules https://github.com/jing-vision/lightnet.git
- Follow lightnet's building steps
Then you need to have premake installed and execute DancingGaga/gen-vs2015.bat to generate DancingGaga/vs2015 folder
You can find DancingGaga/vs2015/DancingGaga.sln, you should be able to build it w/o errors. (If you are lucky like me.)

Steps to run

Download weight file and copy it as bin/openpose.weight
Usage

DancingGaga.exe -cfg=[openpose.cfg] -weights=[openpose.weight] media-source

e.g you can detect pose from a video

DancingGaga.exe pickme-101.mp4

Or from an image

DancingGaga.exe person.jpg

Or even from your default camera (index #0)

DancingGaga.exe 0

Other network models

DancingGaga.exe -cfg=..\coco.cfg -weights=..\coco.weights person.jpg
DancingGaga.exe -cfg=..\mpi.cfg -weights=..\mpi.weights person.jpg
DancingGaga.exe -cfg=..\body_25.cfg -weights=..\body_25.weights person.jpg

network layout

layer     filters    size              input                output
   0 conv     64  3 x 3 / 1   200 x 200 x   3   ->   200 x 200 x  64 0.138 BF
   1 conv     64  3 x 3 / 1   200 x 200 x  64   ->   200 x 200 x  64 2.949 BF
   2 max          2 x 2 / 2   200 x 200 x  64   ->   100 x 100 x  64 0.003 BF
   3 conv    128  3 x 3 / 1   100 x 100 x  64   ->   100 x 100 x 128 1.475 BF
   4 conv    128  3 x 3 / 1   100 x 100 x 128   ->   100 x 100 x 128 2.949 BF
   5 max          2 x 2 / 2   100 x 100 x 128   ->    50 x  50 x 128 0.001 BF
   6 conv    256  3 x 3 / 1    50 x  50 x 128   ->    50 x  50 x 256 1.475 BF
   7 conv    256  3 x 3 / 1    50 x  50 x 256   ->    50 x  50 x 256 2.949 BF
   8 conv    256  3 x 3 / 1    50 x  50 x 256   ->    50 x  50 x 256 2.949 BF
   9 conv    256  3 x 3 / 1    50 x  50 x 256   ->    50 x  50 x 256 2.949 BF
  10 max          2 x 2 / 2    50 x  50 x 256   ->    25 x  25 x 256 0.001 BF
  11 conv    512  3 x 3 / 1    25 x  25 x 256   ->    25 x  25 x 512 1.475 BF
  12 conv    512  3 x 3 / 1    25 x  25 x 512   ->    25 x  25 x 512 2.949 BF
  13 conv    256  3 x 3 / 1    25 x  25 x 512   ->    25 x  25 x 256 1.475 BF
  14 conv    128  3 x 3 / 1    25 x  25 x 256   ->    25 x  25 x 128 0.369 BF
  15 conv    128  3 x 3 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.184 BF
  16 conv    128  3 x 3 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.184 BF
  17 conv    128  3 x 3 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.184 BF
  18 conv    512  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 512 0.082 BF
  19 conv     38  1 x 1 / 1    25 x  25 x 512   ->    25 x  25 x  38 0.024 BF
  20 route  14
  21 conv    128  3 x 3 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.184 BF
  22 conv    128  3 x 3 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.184 BF
  23 conv    128  3 x 3 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.184 BF
  24 conv    512  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 512 0.082 BF
  25 conv     19  1 x 1 / 1    25 x  25 x 512   ->    25 x  25 x  19 0.012 BF
  26 route  19 25 14
  27 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
  28 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  29 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  30 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  31 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  32 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
  33 conv     38  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  38 0.006 BF
  34 route  26
  35 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
  36 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  37 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  38 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  39 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  40 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
  41 conv     19  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  19 0.003 BF
  42 route  33 41 14
  43 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
  44 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  45 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  46 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  47 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  48 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
  49 conv     38  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  38 0.006 BF
  50 route  42
  51 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
  52 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  53 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  54 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  55 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  56 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
  57 conv     19  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  19 0.003 BF
  58 route  49 57 14
  59 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
  60 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  61 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  62 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  63 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  64 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
  65 conv     38  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  38 0.006 BF
  66 route  58
  67 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
  68 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  69 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  70 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  71 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  72 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
  73 conv     19  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  19 0.003 BF
  74 route  65 73 14
  75 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
  76 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  77 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  78 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  79 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  80 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
  81 conv     38  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  38 0.006 BF
  82 route  74
  83 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
  84 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  85 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  86 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  87 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  88 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
  89 conv     19  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  19 0.003 BF
  90 route  81 89 14
  91 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
  92 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  93 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  94 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  95 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
  96 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
  97 conv     38  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  38 0.006 BF
  98 route  90
  99 conv    128  7 x 7 / 1    25 x  25 x 185   ->    25 x  25 x 128 1.450 BF
 100 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
 101 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
 102 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
 103 conv    128  7 x 7 / 1    25 x  25 x 128   ->    25 x  25 x 128 1.004 BF
 104 conv    128  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x 128 0.020 BF
 105 conv     19  1 x 1 / 1    25 x  25 x 128   ->    25 x  25 x  19 0.003 BF
 106 route  105 97

Note

Darknet version openpose.cfg and openpose.weight are ported from COCO version

pose_deploy_linevec.prototxt and pose_iter_440000.caffemodel.

You could change net input width, height in openpose.cfg.

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dancinggaga's Issues

gen-vs2015.bat

I double click gen-vs2015.bat, but there seems don't work, maybe my premake meets someproblem

打开sln第一次生成时报错 LNK1104 无法打开文件“yolo_cpp_dll-d.lib”

1>------ 已启动生成: 项目: DancingGaga, 配置: Debug x64 ------
1>PDollar.cpp
1>d:\wsvs\dancing\lightnet\modules\pdollar\pdollar.cpp(185): warning C4267: “初始化”: 从“size_t”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\pdollar\pdollar.cpp(200): warning C4267: “初始化”: 从“size_t”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\pdollar\pdollar.cpp(213): warning C4244: “初始化”: 从“double”转换到“float”，可能丢失数据
1>MiniTraceHelper.cpp
1>VideoHelper.cpp
1>lightnet.cpp
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(24): warning C4244: “初始化”: 从“float”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(25): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(26): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(35): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(36): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(39): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(40): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(41): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(45): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(46): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(47): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(52): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(53): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(59): warning C4305: “return”: 从“double”到“float”截断
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(71): warning C4244: “初始化”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(81): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(82): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(83): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\modules\darknet\src\activations.h(85): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\src\lightnet.cpp(108): warning C4267: “初始化”: 从“size_t”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\lightnet\src\lightnet.cpp(115): warning C4244: “=”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\lightnet\src\lightnet.cpp(131): warning C4267: “初始化”: 从“size_t”转换到“int”，可能丢失数据
1>os_hal.cpp
1>main.cpp
1>cvui.h: compiling implementation because of CVUI_IMPLEMENTATION. See: https://dovyski.github.io/cvui/usage/
1>d:\wsvs\dancing\dancinggaga-master\src\main.cpp(120): warning C4305: “初始化”: 从“double”到“float”截断
1>d:\wsvs\dancing\dancinggaga-master\src\main.cpp(123): warning C4305: “初始化”: 从“double”到“float”截断
1>d:\wsvs\dancing\dancinggaga-master\src\main.cpp(125): warning C4305: “初始化”: 从“double”到“float”截断
1>d:\wsvs\dancing\dancinggaga-master\src\main.cpp(127): warning C4305: “初始化”: 从“double”到“float”截断
1>d:\wsvs\dancing\dancinggaga-master\src\main.cpp(234): warning C4244: “初始化”: 从“float”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\main.cpp(235): warning C4244: “初始化”: 从“float”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\main.cpp(346): warning C4244: “参数”: 从“float”转换到“int”，可能丢失数据
1>poseParameters.cpp
1>post_process.cpp
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(32): warning C4267: “return”: 从“size_t”转换到“uint32_t”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(67): warning C4267: “初始化”: 从“size_t”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(67): warning C4267: “初始化”: 从“size_t”转换到“const int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(68): warning C4267: “初始化”: 从“size_t”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(68): warning C4267: “初始化”: 从“size_t”转换到“const int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(130): warning C4018: “<”: 有符号/无符号不匹配
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(211): warning C4244: “初始化”: 从“float”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(211): warning C4244: “初始化”: 从“float”转换到“const int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(212): warning C4244: “初始化”: 从“float”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(212): warning C4244: “初始化”: 从“float”转换到“const int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(259): warning C4244: “初始化”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(259): warning C4244: “初始化”: 从“double”转换到“const float”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(344): warning C4244: “初始化”: 从“double”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(344): warning C4244: “初始化”: 从“double”转换到“const float”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(480): warning C4244: “=”: 从“int”转换到“float”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(500): warning C4244: “初始化”: 从“float”转换到“int”，可能丢失数据
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(506): warning C4244: “=”: 从“float”转换到“int”，可能丢失数据
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\tuple(159): warning C4244: “初始化”: 从“const double”转换到“float”，可能丢失数据
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\tuple(281): note: 参见对正在编译的函数模板实例化“std::_Tuple_val<_This>::_Tuple_val<const _Ty&>(_Other)”的引用
1> with
1> [
1> _This=float,
1> _Ty=double,
1> _Other=const double &
1> ]
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\tuple(280): note: 参见对正在编译的函数模板实例化“std::_Tuple_val<_This>::_Tuple_val<const _Ty&>(_Other)”的引用
1> with
1> [
1> _This=float,
1> _Ty=double,
1> _Other=const double &
1> ]
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\tuple(863): note: 参见对正在编译的函数模板实例化“std::tuple<float,int,int>::tuple<std::_Exact_args_t,const double&,const int&,const int&,0>(_Tag,_This2,const int &,const int &)”的引用
1> with
1> [
1> _Tag=std::_Exact_args_t,
1> _This2=const double &
1> ]
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\tuple(862): note: 参见对正在编译的函数模板实例化“std::tuple<float,int,int>::tuple<std::_Exact_args_t,const double&,const int&,const int&,0>(_Tag,_This2,const int &,const int &)”的引用
1> with
1> [
1> _Tag=std::_Exact_args_t,
1> _This2=const double &
1> ]
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\tuple(296): note: 参见对正在编译的函数模板实例化“std::tuple<float,int,int>::tuple<std::_Unpack_tuple_t,const std::tuple<double,int,int>&,0,1,2,0>(_Tag,_Tpl,std::integer_sequence<_Ty,0,1,2>)”的引用
1> with
1> [
1> _Tag=std::_Unpack_tuple_t,
1> _Tpl=const std::tuple<double,int,int> &,
1> _Ty=size_t
1> ]
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\tuple(294): note: 参见对正在编译的函数模板实例化“std::tuple<float,int,int>::tuple<std::_Unpack_tuple_t,const std::tuple<double,int,int>&,0,1,2,0>(_Tag,_Tpl,std::integer_sequence<_Ty,0,1,2>)”的引用
1> with
1> [
1> _Tag=std::_Unpack_tuple_t,
1> _Tpl=const std::tuple<double,int,int> &,
1> _Ty=size_t
1> ]
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\tuple(339): note: 参见对正在编译的函数模板实例化“std::tuple<float,int,int>::tuple<std::_Unpack_tuple_t,const std::tuple<double,int,int>&,0>(_Tag,_Tpl)”的引用
1> with
1> [
1> _Tag=std::_Unpack_tuple_t,
1> _Tpl=const std::tuple<double,int,int> &
1> ]
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\tuple(338): note: 参见对正在编译的函数模板实例化“std::tuple<float,int,int>::tuple<std::_Unpack_tuple_t,const std::tuple<double,int,int>&,0>(_Tag,_Tpl)”的引用
1> with
1> [
1> _Tag=std::_Unpack_tuple_t,
1> _Tpl=const std::tuple<double,int,int> &
1> ]
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\algorithm(3846): note: 参见对正在编译的函数模板实例化“std::tuple<float,int,int>::tuple<double,int,int,0,0>(const std::tuple<double,int,int> &)”的引用
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\algorithm(3844): note: 参见对正在编译的函数模板实例化“std::tuple<float,int,int>::tuple<double,int,int,0,0>(const std::tuple<double,int,int> &)”的引用
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\algorithm(3939): note: 参见对正在编译的函数模板实例化“std::pair<_RanIt,_RanIt> std::_Partition_by_median_guess_unchecked<_RanIt,_Pr>(_RanIt,_RanIt,_Pr)”的引用
1> with
1> [
1> _RanIt=std::tuple<double,int,int> ,
1> _Pr=std::greater<std::tuple<float,int,int>>
1> ]
1>c:\program files (x86)\microsoft visual studio\2017\community\vc\tools\msvc\14.14.26428\include\algorithm(3973): note: 参见对正在编译的函数模板实例化“void std::_Sort_unchecked<std::tuple<double,int,int>,_Fn>(_RanIt,_RanIt,__int64,_Pr)”的引用
1> with
1> [
1> _Fn=std::greater<std::tuple<float,int,int>>,
1> _RanIt=std::tuple<double,int,int> *,
1> _Pr=std::greater<std::tuple<float,int,int>>
1> ]
1>d:\wsvs\dancing\dancinggaga-master\src\post_process.cpp(248): note: 参见对正在编译的函数模板实例化“void std::sort<std::_Vector_iterator<std::_Vector_val<std::_Simple_types<_Ty>>>,std::greater<std::tuple<float,int,int>>>(const _RanIt,const _RanIt,_Pr)”的引用
1> with
1> [
1> _Ty=std::tuple<double,int,int>,
1> _RanIt=std::_Vector_iterator<std::_Vector_val<std::_Simple_types<std::tuple<double,int,int>>>>,
1> _Pr=std::greater<std::tuple<float,int,int>>
1> ]
1>正在生成代码...
1>minitrace.c
1>LINK : fatal error LNK1104: 无法打开文件“yolo_cpp_dll-d.lib”
1>已完成生成项目“DancingGaga.vcxproj”的操作 - 失败。

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