1. 問題描述：
1）在配置C版YOLOv4時，按照安裝順序要求分別安裝了如下軟件：
* win10系統，4代i7工控機，並插入Tesla t4顯卡；
* 安裝兼容Tesla t4顯卡的顯卡驅動426.50；
* 安裝 visual studio community 2019;
* 安裝cuda v10.1
* 安裝cudnn v7.5 for cuda v10.1
* 安裝cmake 3.17
* 安裝opencv3.4.12_v14_v15(其中，v14指向vs2015, v15指向2019)
2）配置修改：
* OpenCV_DIR 加入系統路徑
* makefile.txt修改參數，強制使用cuda和cudnn
3）具體問題：
* ZDK is not enabled, since it required cuda
2. 查詢資料：
1）網絡建議解決方法：(大家都可以嘗試一下，這是我查到的所有的方法的匯總，都挺有道理的)
* 建議可行方法一： 將cmake, cuda, cudnn, vs2019, opencv放在同一磁盤下；（已經嘗試，失敗。）
* 建議可行方法二：安裝順序嚴格控制，先裝vs2019，然后安裝cuda.因為有cuda基於vs的集成開發包問題；（已經嘗試，失敗。）
* 建議可行方法三：將vs2019降級到vs2017; (未嘗試，但是感覺沒啥用)
* 建議可行方法四：cmake中的ZDE版本和CUDA版本不兼容問題。將cmake版本降低。（正在嘗試將cmake版本降到3.10和3.13和3.15.7和3.17.2分別嘗試。）
* cmake 3.10.3無法安裝，因為打開后，它只能生成vs2017以前版本的項目。
* cmake 3.13.5 出現同3.10相同情況
* cmake 3.15.7-win64-x64, 編譯成功，但ZDE找不到CUDA同3.17相同情況
3. 具體解決方法：
下面步驟一定要一步一步來，不能並行或省時間。
1） 卸載vs2019 community
2) 下載vs2017 community
3) 卸載cuda v10.1
4) 安裝cuda v10.1，選擇自定義
5）重新git clone 源碼darknet
6) 卸載Cmake3.17.2
7) 安裝Cmake3.15.7
8) 編輯5）下載的源碼中的makefile文件，就是另CUDA=1,CUDNN=1..那一步
9）打開Cmake3.15.7, 導入路徑，內部操作與之前相同，x64
10) configure編譯，結果如下：
4. 最終結果：（成功找到）
The C compiler identification is MSVC 19.16.27045.0
The CXX compiler identification is MSVC 19.16.27045.0
Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe
Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe -- works
Detecting C compiler ABI info
Detecting C compiler ABI info - done
Detecting C compile features
Detecting C compile features - done
Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe
Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe -- works
Detecting CXX compiler ABI info
Detecting CXX compiler ABI info - done
Detecting CXX compile features
Detecting CXX compile features - done
Looking for a CUDA compiler
Looking for a CUDA compiler - C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin/nvcc.exe
The CUDA compiler identification is NVIDIA 10.1.105
Check for working CUDA compiler: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin/nvcc.exe
Check for working CUDA compiler: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin/nvcc.exe -- works
Detecting CUDA compiler ABI info
Detecting CUDA compiler ABI info - done
Found CUDA: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1 (found version "10.1")
Autodetected CUDA architecture(s): 7.5
Building with CUDA flags: -gencode;arch=compute_75,code=sm_75
Your setup supports half precision (it requires CC >= 7.0)
Looking for pthread.h
Looking for pthread.h - not found
Found Threads: TRUE
Found PThreads_windows: C:/darknet/3rdparty/pthreads/lib/pthreadVC2.lib
PThreads_windows_DLL_DIR: C:/darknet/3rdparty/pthreads/include/../bin
OpenCV ARCH: x64
OpenCV RUNTIME: vc15
OpenCV STATIC: OFF
Found OpenCV: C:/opencv/build (found version "3.4.12")
Found OpenCV 3.4.12 in C:/opencv/build/x64/vc15/lib
You might need to add C:\opencv\build\x64\vc15\bin to your PATH to be able to run your applications.
Found Stb: C:/darknet/3rdparty/stb/include
Found OpenMP_C: -openmp (found version "2.0")
Found OpenMP_CXX: -openmp (found version "2.0")
Found OpenMP: TRUE (found version "2.0")
-> darknet is fine for now, but uselib_track has been disabled!
-> Please rebuild OpenCV from sources with CUDA support to enable it
Found CUDNN: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include (found version "?")
CMAKE_CUDA_FLAGS: -gencode arch=compute_75,code=sm_75 -Wno-deprecated-declarations -Xcompiler="/wd4013,/wd4018,/wd4028,/wd4047,/wd4068,/wd4090,/wd4101,/wd4113,/wd4133,/wd4190,/wd4244,/wd4267,/wd4305,/wd4477,/wd4996,/wd4819,/fp:fast,/DGPU,/DCUDNN,/DOPENCV" -D_WINDOWS -Xcompiler="/W3 /GR /EHsc"
ZED SDK not found
Configuring done
Generating done