Я получил Jetson TX2 с OpenCV и CUDA на нем. Однако я не уверен, был ли opencv собран с включенной cuda. Так что это информация, которую я хочу узнать. Очевидно, я уже гуглил, как получить эту информацию, и единственный ответ, который я нашел, был то, что я должен использовать «getBuildInformation». Так что, если я сделаю это, я получу следующий вывод:
>>>a = cv2.getBuildInformation()
>>>print(a)
General configuration for OpenCV 4.1.1 =====================================
Version control: 4.1.1-2-gd5a58aa75
Platform:
Timestamp: 2019-12-13T17:25:11Z
Host: Linux 4.9.140-tegra aarch64
CMake: 3.10.2
CMake generator: Unix Makefiles
CMake build tool: /usr/bin/make
Configuration: Release
CPU/HW features:
Baseline: NEON FP16
required: NEON
disabled: VFPV3
C/C++:
Built as dynamic libs?: YES
C++ Compiler: /usr/bin/c++ (ver 7.4.0)
C++ flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG -DNDEBUG C++ flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG C Compiler: /usr/bin/cc
C flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -O3 -DNDEBUG -DNDEBUG
C flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -g -O0 -DDEBUG -D_DEBUG
Linker flags (Release): -Wl,--gc-sections
Linker flags (Debug): -Wl,--gc-sections
ccache: NO
Precompiled headers: NO
Extra dependencies: dl m pthread rt
3rdparty dependencies:
OpenCV modules:
To be built: calib3d core dnn features2d flann gapi highgui imgcodecs imgproc ml objdetect photo python2 python3 stitching ts video videoio
Disabled: world
Disabled by dependency: -
Unavailable: java js
Applications: tests perf_tests examples apps
Documentation: NO
Non-free algorithms: NO
GUI:
GTK+: YES (ver 2.24.32)
GThread : YES (ver 2.56.4)
GtkGlExt: NO
Media I/O:
ZLib: /usr/lib/aarch64-linux-gnu/libz.so (ver 1.2.11)
JPEG: /usr/lib/aarch64-linux-gnu/libjpeg.so (ver 80)
WEBP: build (ver encoder: 0x020e)
PNG: /usr/lib/aarch64-linux-gnu/libpng.so (ver 1.6.34)
TIFF: /usr/lib/aarch64-linux-gnu/libtiff.so (ver 42 / 4.0.9)
JPEG 2000: build (ver 1.900.1)
HDR: YES
SUNRASTER: YES
PXM: YES
PFM: YES
Video I/O:
FFMPEG: YES
avcodec: YES (57.107.100)
avformat: YES (57.83.100)
avutil: YES (55.78.100)
swscale: YES (4.8.100)
avresample: NO
GStreamer: YES (1.14.5)
v4l/v4l2: YES (linux/videodev2.h)
Parallel framework: TBB (ver 2017.0 interface 9107)
Trace: YES (with Intel ITT)
Other third-party libraries:
Lapack: NO
Eigen: YES (ver 3.3.4)
Custom HAL: YES (carotene (ver 0.0.1))
Protobuf: build (3.5.1)
Python 2:
Interpreter: /usr/bin/python2.7 (ver 2.7.15)
Libraries: /usr/lib/aarch64-linux-gnu/libpython2.7.so (ver 2.7.15+)
numpy: /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.13.3)
install path: lib/python2.7/dist-packages/cv2/python-2.7
Python 3:
Interpreter: /usr/bin/python3 (ver 3.6.9)
Libraries: /usr/lib/aarch64-linux-gnu/libpython3.6m.so (ver 3.6.9)
numpy: /usr/lib/python3/dist-packages/numpy/core/include (ver 1.13.3)
install path: lib/python3.6/dist-packages/cv2/python-3.6
Python (for build): /usr/bin/python2.7
Java:
ant: NO
JNI: NO
Java wrappers: NO
Java tests: NO
Install to: /usr
-----------------------------------------------------------------
Итак, мой вопрос, почему я не вижу больше сторонних библиотек, например, таких как (взято из "https://www.learnopencv.com/get-opencv-build-information-getbuildinformation/ "):
Other third-party libraries:
Use IPP: 9.0.1 [9.0.1]
at: /tmp/opencv3-20170521-37568-15s9x5w/opencv-3.2.0/macbuild/3rdparty/ippicv/ippicv_osx
Use IPP Async: NO
Use VA: NO
Use Intel VA-API/OpenCL: NO
Use Lapack: YES (-framework Accelerate)
Use Eigen: YES (ver 3.3.3)
Use Cuda: NO
Use OpenCL: YES
Use OpenVX: NO
Use custom HAL: NO
И, наконец, есть ли другой способ проверить, скомпилирован ли opencv с включенной cuda?
Любая помощь приветствуется.