对于我的一个课程项目,我需要使用OpenCVs GPU库.我正在使用OpenCV
python的现有代码,我的工作是找到一种方法来访问OpenCV Cuda库,因为现在没有可访问的
Python绑定到OpenCV的各种CUDA模块.
我现在非常需要的两个函数是cuda :: warpPerspective和cv :: cuda :: DescriptorMatcher :: knnMatch().
我试图按照@ostrumvulpes在Accessing OpenCV CUDA Functions from Python (No PyCUDA)中提出的建议来实现warpPerspective并且它工作正常.现在我被困在DescriptorMatcher :: knnMatch()中.更确切地说,我需要使用蛮力描述符匹配器knnmatch函数(CUDA).我在网上搜索了用C编写的例子,这样我就可以初步了解如何通过cython将其转换为使其工作.
我发现的大多数例子如下:
Ptr<cuda::DescriptorMatcher> matcher =
cuda::DescriptorMatcher::createBFMatcher();
vector< vector< DMatch> > matches;
matcher->knnMatch(descriptors_object_Gpu, descriptors_scene_Gpu, matches, 2);
为了实现这三行,我首先在.pxd文件中添加了我认为必要的内容.我的pxd文件如下所示:
GpuWrapper.pxd
from libcpp cimport bool
from cpython.ref cimport PyObject
from libcpp.vector cimport vector
# References PyObject to OpenCV object conversion code borrowed from OpenCV's own conversion file, cv2.cpp
cdef extern from 'pyopencv_converter.cpp':
#mrc689 April 20,2017
void import_array()
cdef PyObject* pyopencv_from(const Mat& m)
cdef bool pyopencv_to(PyObject* o, Mat& m)
cdef extern from 'opencv2/imgproc.hpp' namespace 'cv':
cdef enum InterpolationFlags:
INTER_NEAREST = 0
cdef enum ColorConversionCodes:
COLOR_BGR2GRAY
cdef extern from 'opencv2/core/core.hpp':
cdef int CV_8UC1
cdef int CV_32FC1
cdef extern from 'opencv2/core/core.hpp' namespace 'cv':
cdef cppclass Size_[T]:
Size_() except +
Size_(T width, T height) except +
T width
T height
ctypedef Size_[int] Size2i
ctypedef Size2i Size
cdef cppclass Scalar[T]:
Scalar() except +
Scalar(T v0) except +
cdef extern from 'opencv2/core/core.hpp' namespace 'cv':
cdef cppclass Mat:
Mat() except +
void create(int, int, int) except +
void* data
int rows
int cols
#added to test the Algorithm class inside core.hpp on May5th 12.52 AM.
cdef cppclass Algorithm:
Algorithm() except +
cdef extern from 'opencv2/core/base.hpp' namespace 'cv':
cdef enum NormTypes:
NORM_INF= 1,
NORM_L1= 2,
NORM_L2= 4,
NORM_HAMMING= 6,
NORM_HAMMING2= 7,
cdef extern from 'opencv2/core/cuda.hpp' namespace 'cv::cuda':
cdef cppclass GpuMat:
GpuMat() except +
void upload(Mat arr) except +
void download(Mat dst) const
cdef cppclass Stream:
Stream() except +
cdef extern from 'opencv2/core/types.hpp' namespace 'cv':
cdef cppclass DMatch:
DMatch() except +
float distance
int imgIdx
int queryIdx
int trainIdx
cdef extern from 'opencv2/core/cvstd.hpp' namespace 'cv':
cdef cppclass Ptr[T]:
T element_type
Ptr() except +
cdef extern from 'opencv2/cudafeatures2d.hpp' namespace 'cv::cuda':
cdef cppclass DescriptorMatcher:
@staticmethod
Ptr[DescriptorMatcher] createBFMatcher(int normType) except+
#Expected to see error here
void knnMatch(GpuMat queryDescriptors, GpuMat trainDescriptors, vector[vector[DMatch]] &matches,int k)
cdef extern from 'opencv2/cudawarping.hpp' namespace 'cv::cuda':
cdef void warpPerspective(GpuMat src, GpuMat dst, Mat M, Size dsize, int flags, int borderMode, Scalar borderValue, Stream& stream)
# Function using default values
cdef void warpPerspective(GpuMat src, GpuMat dst, Mat M, Size dsize, int flags)
我的pyx看起来像这样:
GpuWrapper.pyx
import numpy as np # Import Python functions, attributes, submodules of numpy
cimport numpy as np # Import numpy C/C++ API
def match_feature(np.ndarray[np.float32_t, ndim=3] _src,
np.ndarray[np.float32_t, ndim=2] _M):
np.import_array()
# Create GPU/device InputArray for src
cdef Mat src_mat
cdef GpuMat src_gpu
pyopencv_to(<PyObject*> _src, src_mat)
src_gpu.upload(src_mat)
cdef Mat src_mat_2
cdef GpuMat src_gpu_2
pyopencv_to(<PyObject*> _M, src_mat_2)
src_gpu_2.upload(src_mat_2)
cdef Ptr[DescriptorMatcher] matcher= Ptr()
matcher = DescriptorMatcher.createBFMatcher(4)
cdef vector[vector[DMatch]] matches
matcher.knnMatch(src_gpu,src_gpu_2,matches,2)
print("no problem so far")
当我试图编译它时,我得到一个错误,说’Ptr [DescriptorMatcher]’没有属性’knnMatch’.
现在据我所知,Ptr是DescriptorMatcher类型的共享指针,所以我从.pxd文件定义Ptr的方式肯定有问题.
我只是不知道如何解决它.如果有人能帮我解决,我将非常感激.
最佳答案 我不认为你正确使用Ptr(它需要在Cython中解除引用才能进入knnMatch).
查看如何制作Ptr的好地方是Cython which wrap the similar classes std::shared_ptr
and std::unique_ptr
内置的C标准库包装器.
您不希望执行T element_type行,因为它不会被解释为typedef(就像在OpenCV标头中一样) – 它被解释为具有类型为T的element_type的成员(它不存在).
您可能想为Ptr设置一些其他构造函数.就目前而言,你只包装了默认的空单. (对于您的代码,它看起来并不重要,因为您从工厂函数中获取它).
最重要的是,您还需要设置解除引用运算符(运算符*).这可能只是你需要实现它才能工作:
cdef cppclass Ptr[T]:
Ptr() except +
Ptr(Ptr*) except +
T& operator* () # probably no exceptions
要使用它use the cython.operator.dereference
:
# at the top
from cython.operator cimport dereference
# later
dereference(matcher).knnMatch(src_gpu,src_gpu_2,matches,2)
(我没有详细查看其余的代码,所以我没有评论它是否正确)