您好，登录后才能下订单哦！
密码登录
登录注册
点击 登录注册 即表示同意《亿速云用户服务条款》
这篇文章主要为大家展示了“Python如何调用C++传递numpy数据”，内容简而易懂，条理清晰，希望能够帮助大家解决疑惑，下面让小编带领大家一起研究并学习一下“Python如何调用C++传递numpy数据”这篇文章吧。
Demo.h
#pragma once void GeneratorGaussKernel(int ksize, float sigma, float* kernel); void LeftAndRightMirrorImageUInt8(unsigned char* in, unsigned char* out, int width, int height); void LeftAndRightMirrorImageFloat(float* in, float* out, int width, int height); void UpAndDownMirrorImageFloat(float* in, float* out, int width, int height); void UpAndDownMirrorImageUInt8(unsigned char* in, unsigned char* out, int width, int height); void ImageFilterFloat(float* in, float* out, int width, int height, float* filterKernel, int kw, int kh); void SaltAndPepperFloat(float* in, float* out, int width, int height, float minV, float maxV, float proportion); void SaltAndPepperUInt8(unsigned char* in, unsigned char* out, int width, int height, float minV, float maxV, float proportion); void ImageMinMax(float* in, int width, int height, int channels, float* minV, float* maxV); void ImageMinMax(unsigned char* in, int width, int height, int channels, unsigned char* minV, unsigned char* maxV); void ImageMulAAddBFloatFloat(float* in, float* out, int width, int height, int channels, float A, float B); void ImageMulAAddBUInt8UInt8(unsigned char* in, unsigned char* out, int width, int height, int channels, float A, float B); void ImageMulAAddBUInt8Float(unsigned char* in, float* out, int width, int height, int channels, float A, float B); void NormalizeUInt8Float(unsigned char* in, float* out, int width, int height, int channels, int type); void NormalizeFloatFloat(float* in, float* out, int width, int height, int channels, int type); void RGBAvgUInt8Float(unsigned char* in, float* out, int width, int height); void RGBAvgFloatFloat(float* in, float* out, int width, int height);
Demo.cpp
#include <Python.h>
#include <malloc.h>
#include <numpy/arrayobject.h>
#include <iostream>
#include <vector>
#include <xmmintrin.h>
#include <immintrin.h>
#include "omp.h"
class ImageCoord {
public:
ImageCoord() {
x = 0; y = 0;
}
ImageCoord(const ImageCoord& coord) {
x = coord.x;
y = coord.y;
}
ImageCoord(int x, int y) {
this->x = x;
this->y = y;
}
void operator= (ImageCoord& coord) {
x = coord.x;
y = coord.y;
}
int x, y;
};
class Random {
public:
Random() {
srand((unsigned int)time(NULL));
}
ImageCoord RandomImageCoord(int width, int height) {
ImageCoord ans;
ans.x = rand() % width;
ans.y = rand() % height;
return ans;
}
bool RandomBoolean() {
return rand() % 2 == 1;
}
};
static Random gRandom;
void GeneratorGaussKernel(int ksize, float sigma, float* kernel)
{
int bufferSize = ksize * ksize;
float sigmasigma2 = 2.0f * sigma * sigma;
float sigmasigma2Inv = 1.f / sigmasigma2;
float sigmasigma2PIInv = sigmasigma2Inv / 3.14159265358979f;
int radius = ksize / 2;
float sum = 0.f;
for (int i = -radius; i <= radius; ++i) {
for (int j = -radius; j <= radius; ++j) {
kernel[(i + radius) * ksize + (j + radius)] = sigmasigma2PIInv * expf(-(i * i + j * j) * sigmasigma2Inv);
}
}
for (int i = 0; i < bufferSize; ++i) {
sum += kernel[i];
}
sum = 1.f / sum;
for (int i = 0; i < bufferSize; ++i) {
kernel[i] = kernel[i] * sum;
}
}
void LeftAndRightMirrorImageUInt8(unsigned char* in, unsigned char* out, int width, int height)
{
for (int i = 0; i < height; ++i) {
int hoffset = i * width;
for (int j = 0; j < width; ++j) {
int woffset = (hoffset + j) * 3;
int woffset_ = (hoffset + width - 1 - j) * 3;
for (int n = 0; n < 3; ++n) {
out[woffset_ + n] = in[woffset + n];
}
}
}
}
void LeftAndRightMirrorImageFloat(float* in, float* out, int width, int height)
{
for (int i = 0; i < height; ++i) {
int hoffset = i * width;
for (int j = 0; j < width; ++j) {
int woffset = (hoffset + j) * 3;
int woffset_ = (hoffset + width - 1 - j) * 3;
for (int n = 0; n < 3; ++n) {
out[woffset_ + n] = in[woffset + n];
}
}
}
}
void UpAndDownMirrorImageFloat(float* in, float* out, int width, int height)
{
int lineOffset = width * 3;
int lineSize = lineOffset * sizeof(float);
float* outTmp = out + lineOffset * height - lineOffset;
float* inTmp = in;
for (int i = 0; i < height; ++i) {
memcpy_s(outTmp, lineSize, inTmp, lineSize);
outTmp -= lineOffset;
inTmp += lineOffset;
}
}
void UpAndDownMirrorImageUInt8(unsigned char* in, unsigned char* out, int width, int height)
{
int lineOffset = width * 3;
int lineSize = lineOffset * sizeof(unsigned char);
unsigned char* outTmp = out + lineOffset * height - lineOffset;
unsigned char* inTmp = in;
for (int i = 0; i < height; ++i) {
memcpy_s(outTmp, lineSize, inTmp, lineSize);
outTmp -= lineOffset;
inTmp += lineOffset;
}
}
#if 0
void Conv(float* in, float* out, int width, float* filter, int ksize) {
int lineSize = width * 3;
float* inTemp = in;
float* outTemp = out;
out[0] = 0.f; out[1] = 0.f; out[2] = 0.f;
for (int i = 0; i < ksize; ++i) {
for (int j = 0; j < ksize; ++j) {
int xoffset = j * 3;
out[0] += (*filter) * inTemp[xoffset + 0];
out[1] += (*filter) * inTemp[xoffset + 1];
out[2] += (*filter) * inTemp[xoffset + 2];
filter++;
}
inTemp = inTemp + lineSize;
}
}
void ImageFilterFloat(float* in, float* out, int width, int height, float* filterKernel, int kw, int kh)
{
size_t size = (size_t)width * (size_t)height * sizeof(float) * 3;
int startX = kw / 2;
int endX = width - kw / 2;
int startY = kh / 2;
int endY = height - kh / 2;
float* tempOut = out + (startY * width + startX) * 3;
memset(out, 0, size);
//memcpy_s(out, size, in, size);
omp_set_num_threads(32);
#pragma omp parallel for
for (int i = 0; i <= height - kh; ++i) {
int yoffset = i * width * 3;
for (int j = 0; j <= width - kw; ++j) {
int xoffset = yoffset + j * 3;
Conv((in + xoffset), (tempOut + xoffset), width, filterKernel, kw);
}
}
}
#elif 1
void Conv(float* in, float* out, int width, __m128* filter, int ksize) {
int lineSize = width * 3;
float* inTemp = in;
float* outTemp = out;
out[0] = 0.f; out[1] = 0.f; out[2] = 0.f;
__m128 sum = _mm_set_ps1(0.f);
for (int i = 0; i < ksize; ++i) {
for (int j = 0; j < ksize; ++j) {
int xoffset = j * 3;
__m128 img_value = _mm_set_ps(1.f, inTemp[xoffset + 2], inTemp[xoffset + 1], inTemp[xoffset + 0]);
sum = _mm_add_ps(_mm_mul_ps((*filter), img_value), sum);
filter++;
}
inTemp = inTemp + lineSize;
}
out[0] = sum.m128_f32[0];
out[1] = sum.m128_f32[1];
out[2] = sum.m128_f32[2];
}
void ImageFilterFloat(float* in, float* out, int width, int height, float* filterKernel, int kw, int kh)
{
size_t size = (size_t)width * (size_t)height * sizeof(float) * 3;
int startX = kw / 2;
int endX = width - kw / 2;
int startY = kh / 2;
int endY = height - kh / 2;
float* tempOut = out + (startY * width + startX) * 3;
memset(out, 0, size);
__m128* filterKernel_m128 = (__m128*)_mm_malloc(kw * kh * sizeof(__m128), sizeof(__m128));
for (int i = 0; i < kw * kh; ++i) {
filterKernel_m128[i] = _mm_set_ps1(filterKernel[i]);
}
omp_set_num_threads(32);
#pragma omp parallel for
for (int i = 0; i <= height - kh; ++i) {
int yoffset = i * width * 3;
for (int j = 0; j <= width - kw; ++j) {
int xoffset = yoffset + j * 3;
Conv((in + xoffset), (tempOut + xoffset), width, filterKernel_m128, kw);
}
}
if (filterKernel_m128) {
_mm_free(filterKernel_m128);
filterKernel_m128 = NULL;
}
}
#endif
void SaltAndPepperFloat(float* in, float* out, int width, int height, float minV, float maxV, float proportion)
{
int coordNumber = (int)(width * height * proportion);
if (in != out) {
memcpy_s(out, width * height * 3 * sizeof(float), in, width * height * 3 * sizeof(float));
}
for (int i = 0; i < coordNumber; ++i) {
ImageCoord coord = gRandom.RandomImageCoord(width, height);
bool saltOrPepper = gRandom.RandomBoolean();
float value = saltOrPepper ? minV : maxV;
int x = coord.x;
int y = coord.y;
int offset = (y * width + x) * 3;
for (int c = 0; c < 3; ++c) {
out[offset + c] = value;
}
}
}
void SaltAndPepperUInt8(unsigned char* in, unsigned char* out, int width, int height, float minV, float maxV, float proportion)
{
int coordNumber = (int)(width * height * proportion);
if (in != out) {
memcpy_s(out, width * height * 3 * sizeof(unsigned char), in, width * height * 3 * sizeof(unsigned char));
}
for (int i = 0; i < coordNumber; ++i) {
ImageCoord coord = gRandom.RandomImageCoord(width, height);
bool saltOrPepper = gRandom.RandomBoolean();
float value = saltOrPepper ? minV : maxV;
int x = coord.x;
int y = coord.y;
int offset = (y * width + x) * 3;
for (int c = 0; c < 3; ++c) {
out[offset + c] = (unsigned char)value;
}
}
}
void ImageMinMax(float* in, int width, int height, int channels, float* minV, float* maxV)
{
float minValue = 99999.f;
float maxValue = -minValue;
int number = width * height * channels;
for (int i = 0; i < number; ++i) {
float value = in[i];
if (value > maxValue) {
maxValue = value;
}
if (value < minValue) {
minValue = value;
}
}
*minV = (float)minValue;
*maxV = (float)maxValue;
}
void ImageMinMax(unsigned char* in, int width, int height, int channels, unsigned char* minV, unsigned char* maxV)
{
int minValue = 256;
int maxValue = -1;
int number = width * height * channels;
for (int i = 0; i < number; ++i) {
int value = in[i];
if (value > maxValue) {
maxValue = value;
}
if (value < minValue) {
minValue = value;
}
}
*minV = (unsigned char)minValue;
*maxV = (unsigned char)maxValue;
}
void ImageMulAAddBFloatFloat(float* in, float* out, int width, int height, int channels, float A, float B)
{
int size = width * height * channels;
for (int i = 0; i < size; ++i) {
out[i] = in[i] * A + B;
}
}
void ImageMulAAddBUInt8UInt8(unsigned char* in, unsigned char* out, int width, int height, int channels, float A, float B)
{
#define ALVACLAMP(x, minV, maxV) \
(x) < (minV) ? (minV) : ((x) > (maxV) ? (maxV) : (x))
int size = width * height * channels;
for (int i = 0; i < size; ++i) {
out[i] = (unsigned char)(ALVACLAMP(in[i] * A + B, 0, 255));
}
#undef ALVACLAMP
}
void ImageMulAAddBUInt8Float(unsigned char* in, float* out, int width, int height, int channels, float A, float B)
{
int size = width * height * channels;
for (int i = 0; i < size; ++i) {
out[i] = in[i] * A + B;
}
}
void NormalizeUInt8Float(unsigned char* in, float* out, int width, int height, int channels, int type)
{
unsigned char minV, maxV;
ImageMinMax(in, width, height, channels, &minV, &maxV);
int size = width * height * channels;
float inv = 1.f / (maxV - minV);
float offset = 0.f;
if (type == 1) {
inv *= 2.f;
offset = -1.f;
}
for (int i = 0; i < size; ++i) {
out[i] = (in[i] - minV) * inv + offset;
}
}
void NormalizeFloatFloat(float* in, float* out, int width, int height, int channels, int type)
{
float minV, maxV;
ImageMinMax(in, width, height, channels, &minV, &maxV);
int size = width * height * channels;
float inv = 1.f / (maxV - minV);
float offset = 0.f;
if (type == 1) {
inv *= 2.f;
offset = -1.f;
}
for (int i = 0; i < size; ++i) {
out[i] = (in[i] - minV) * inv + offset;
}
}
void RGBAvgUInt8Float(unsigned char* in, float* out, int width, int height)
{
int size = width * height;
for (int i = 0; i < size; ++i) {
float avg = (in[i * 3 + 0] + in[i * 3 + 1] + in[i * 3 + 2]) / 3.f;
out[i * 3 + 0] = avg;
out[i * 3 + 1] = avg;
out[i * 3 + 2] = avg;
}
}
void RGBAvgFloatFloat(float* in, float* out, int width, int height)
{
int size = width * height;
for (int i = 0; i < size; ++i) {
float avg = (in[i * 3 + 0] + in[i * 3 + 1] + in[i * 3 + 2]) / 3.f;
out[i * 3 + 0] = avg;
out[i * 3 + 1] = avg;
out[i * 3 + 2] = avg;
}
}
static PyObject* GeneratorGaussKernel(PyObject* self, PyObject* args) {
//int ksize, float sigma, float* kernel
PyObject* pyobj_filter = NULL;
int ksize;
float sigma;
int ret = PyArg_ParseTuple(args, "Oif", &pyobj_filter, &ksize, &sigma);
PyArrayObject* oarr = (PyArrayObject*)pyobj_filter;
float* data = (float*)(oarr->data);
GeneratorGaussKernel(ksize, sigma, data);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* LeftAndRightMirrorImageUInt8(PyObject* self, PyObject* args) {
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height;
int ret = PyArg_ParseTuple(args, "OOii", &pyobj_img, &pyobj_out_img, &width, &height);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
unsigned char* dataIn = (unsigned char*)(oarr->data);
unsigned char* dataOut = (unsigned char*)(oarr_out->data);
LeftAndRightMirrorImageUInt8(dataIn, dataOut, width, height);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
//std::cout << "";
}
static PyObject* LeftAndRightMirrorImageFloat(PyObject* self, PyObject* args) {
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height;
int ret = PyArg_ParseTuple(args, "OOii", &pyobj_img, &pyobj_out_img, &width, &height);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
float* dataIn = (float*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
LeftAndRightMirrorImageFloat(dataIn, dataOut, width, height);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* UpAndDownMirrorImageUInt8(PyObject* self, PyObject* args) {
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height;
int ret = PyArg_ParseTuple(args, "OOii", &pyobj_img, &pyobj_out_img, &width, &height);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
unsigned char* dataIn = (unsigned char*)(oarr->data);
unsigned char* dataOut = (unsigned char*)(oarr_out->data);
UpAndDownMirrorImageUInt8(dataIn, dataOut, width, height);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* UpAndDownMirrorImageFloat(PyObject* self, PyObject* args) {
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height;
int ret = PyArg_ParseTuple(args, "OOii", &pyobj_img, &pyobj_out_img, &width, &height);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
float* dataIn = (float*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
UpAndDownMirrorImageFloat(dataIn, dataOut, width, height);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* ImageFilterFloat(PyObject* self, PyObject* args) {
//float* in, float* out, int width, int height, float* filterKernel, int kw, int kh
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
PyObject* pyobj_filterKernel = NULL;
int width, height;
int kw, kh;
int ret = PyArg_ParseTuple(args, "OOiiOii", &pyobj_img, &pyobj_out_img, &width, &height, &pyobj_filterKernel, &kw, &kh);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
PyArrayObject* kernel = (PyArrayObject*)pyobj_filterKernel;
float* dataIn = (float*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
float* filter = (float*)(kernel->data);
ImageFilterFloat(dataIn, dataOut, width, height, filter, kw, kh);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* SaltAndPepperFloat(PyObject* self, PyObject* args) {
//float* in, float* out, int width, int height, float minV, float maxV, float proportion
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height;
float minV, maxV, proportion;
int ret = PyArg_ParseTuple(args, "OOiifff", &pyobj_img, &pyobj_out_img, &width, &height, &minV, &maxV, &proportion);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
float* dataIn = (float*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
SaltAndPepperFloat(dataIn, dataOut, width, height, minV, maxV, proportion);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* SaltAndPepperUInt8(PyObject* self, PyObject* args) {
//float* in, float* out, int width, int height, float minV, float maxV, float proportion
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height;
float minV, maxV, proportion;
int ret = PyArg_ParseTuple(args, "OOiifff", &pyobj_img, &pyobj_out_img, &width, &height, &minV, &maxV, &proportion);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
unsigned char* dataIn = (unsigned char*)(oarr->data);
unsigned char* dataOut = (unsigned char*)(oarr_out->data);
SaltAndPepperUInt8(dataIn, dataOut, width, height, minV, maxV, proportion);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* ImageMulAAddBFloatFloat(PyObject* self, PyObject* args) {
//float* in, float* out, int width, int height, int channels, float A, float B
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height, channels = 3;
float A, B;
int ret = PyArg_ParseTuple(args, "OOiiff", &pyobj_img, &pyobj_out_img, &width, &height, &A, &B);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
float* dataIn = (float*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
ImageMulAAddBFloatFloat(dataIn, dataOut, width, height, channels, A, B);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* ImageMulAAddBUInt8Float(PyObject* self, PyObject* args) {
//float* in, float* out, int width, int height, int channels, float A, float B
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height, channels = 3;
float A, B;
int ret = PyArg_ParseTuple(args, "OOiiff", &pyobj_img, &pyobj_out_img, &width, &height, &A, &B);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
unsigned char* dataIn = (unsigned char*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
ImageMulAAddBUInt8Float(dataIn, dataOut, width, height, channels, A, B);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* ImageMulAAddBUInt8UInt8(PyObject* self, PyObject* args) {
//float* in, float* out, int width, int height, int channels, float A, float B
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height, channels = 3;
float A, B;
int ret = PyArg_ParseTuple(args, "OOiiff", &pyobj_img, &pyobj_out_img, &width, &height, &A, &B);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
unsigned char* dataIn = (unsigned char*)(oarr->data);
unsigned char* dataOut = (unsigned char*)(oarr_out->data);
ImageMulAAddBUInt8UInt8(dataIn, dataOut, width, height, channels, A, B);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* NormalizeUInt8Float(PyObject* self, PyObject* args) {
// unsigned char* in, float* out, int width, int height, int channels, int type
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height, channels = 3;
int type;
int ret = PyArg_ParseTuple(args, "OOiii", &pyobj_img, &pyobj_out_img, &width, &height, &type);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
unsigned char* dataIn = (unsigned char*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
NormalizeUInt8Float(dataIn, dataOut, width, height, channels, type);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* NormalizeFloatFloat(PyObject* self, PyObject* args) {
// unsigned char* in, float* out, int width, int height, int channels, int type
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height, channels = 3;
int type;
int ret = PyArg_ParseTuple(args, "OOiii", &pyobj_img, &pyobj_out_img, &width, &height, &type);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
float* dataIn = (float*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
NormalizeFloatFloat(dataIn, dataOut, width, height, channels, type);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* RGBAvgUInt8Float(PyObject* self, PyObject* args) {
// unsigned char* in, float* out, int width, int height
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height;
int ret = PyArg_ParseTuple(args, "OOii", &pyobj_img, &pyobj_out_img, &width, &height);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
unsigned char* dataIn = (unsigned char*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
RGBAvgUInt8Float(dataIn, dataOut, width, height);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyObject* RGBAvgFloatFloat(PyObject* self, PyObject* args) {
// unsigned char* in, float* out, int width, int height
PyObject* pyobj_img = NULL;
PyObject* pyobj_out_img = NULL;
int width, height;
int ret = PyArg_ParseTuple(args, "OOii", &pyobj_img, &pyobj_out_img, &width, &height);
PyArrayObject* oarr = (PyArrayObject*)pyobj_img;
PyArrayObject* oarr_out = (PyArrayObject*)pyobj_out_img;
float* dataIn = (float*)(oarr->data);
float* dataOut = (float*)(oarr_out->data);
RGBAvgFloatFloat(dataIn, dataOut, width, height);
PyObject* result = PyUnicode_FromFormat("result:%s", "ok");
return result;
}
static PyMethodDef DemoMethods[] = {
{"LeftAndRightMirrorImageUInt8", (PyCFunction)LeftAndRightMirrorImageUInt8, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"LeftAndRightMirrorImageFloat", (PyCFunction)LeftAndRightMirrorImageFloat, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"UpAndDownMirrorImageUInt8", (PyCFunction)UpAndDownMirrorImageUInt8, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"UpAndDownMirrorImageFloat", (PyCFunction)UpAndDownMirrorImageFloat, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"ImageFilterFloat", (PyCFunction)ImageFilterFloat, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"SaltAndPepperFloat", (PyCFunction)SaltAndPepperFloat, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"SaltAndPepperUInt8", (PyCFunction)SaltAndPepperUInt8, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"ImageMulAAddBFloatFloat", (PyCFunction)ImageMulAAddBFloatFloat, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"ImageMulAAddBUInt8Float", (PyCFunction)ImageMulAAddBUInt8Float, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"ImageMulAAddBUInt8UInt8", (PyCFunction)ImageMulAAddBUInt8UInt8, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"NormalizeUInt8Float", (PyCFunction)NormalizeUInt8Float, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"NormalizeFloatFloat", (PyCFunction)NormalizeFloatFloat, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"RGBAvgUInt8Float", (PyCFunction)RGBAvgUInt8Float, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"RGBAvgFloatFloat", (PyCFunction)RGBAvgFloatFloat, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{"GeneratorGaussKernel", (PyCFunction)GeneratorGaussKernel, METH_VARARGS | METH_KEYWORDS, "I guess here is description." },
{NULL, NULL, 0, NULL}
};
static struct PyModuleDef demoModule = {
PyModuleDef_HEAD_INIT,
"mirror",
NULL,
-1,
DemoMethods
};
PyMODINIT_FUNC
PyInit_ImgProcessing(void) { // ImgProcessing 为生成的dll名称
return PyModule_Create(&demoModule);
}把C++ 编译出的ImgProcessing.dll 改为 ImgProcessing.pyd 并 拷贝到Python工程下
# -*- coding:utf-8 -*-
import cv2
import random
import numpy as np
import ImgProcessing as aug
class AugmentImagesBase:
def _gauss(self, x, y, sigma=1.):
Z = 2 * np.pi * sigma ** 2
kernel_value = 1 / Z * np.exp(-(x ** 2 + y ** 2) / 2 / sigma ** 2)
return kernel_value
def _gauss_kernel(self, kwidth, kheight, kchannel=1):
kernels = np.zeros((kheight, kwidth, kchannel, 1), np.float32)
mid = np.floor(kwidth / 2)
for kernel_idx in range(kchannel):
for i in range(kheight):
for j in range(kwidth):
kernels[i, j, kernel_idx, 0] = self._gauss(i - mid, j - mid)
if kchannel == 1:
kernels = np.reshape(kernels, (kheight, kwidth))
return kernels
def left_right_flip(self, img_in, img_out, width=336, height=192):
aug.AlvaLeftAndRightMirrorImageUInt8(img_in, img_out, width, height)
return img_out
def up_down_flip(self, img_in, img_out, width=336, height=192):
aug.AlvaUpAndDownMirrorImageUInt8(img_in, img_out, width, height)
return img_out
def filtering(self, img_in, img_out, width=336, height=192, kernel=None, kwidth=3, kheight=3):
aug.AlvaImageFilterFloat(img_in, img_out, width, height, kernel, kwidth, kheight)
return img_out
def pepper_salt(self, img_in, img_out, width=336, height=192, min_v=0, max_v=255, proportion=0.1):
rand_proportion = random.uniform(0., proportion)
aug.AlvaSaltAndPepperUInt8(img_in, img_out, width, height, min_v, max_v, rand_proportion)
return img_out
def contrast(self, img_in, img_out, width=336, height=192, a=0.6, b=0.4):
aug.AlvaImageMulAAddBUInt8UInt8(img_in, img_out, width, height, a, b)
return img_out
def average_rgb(self, img_in, img_out, width=336, height=192):
img_in = img_in.astype(np.float32)
img_out = img_out.astype(np.float32)
aug.AlvaRGBAvgFloatFloat(img_in, img_out, width, height)
img_out = img_out.astype(np.uint8)
return img_out
def normalize(self, img_in, img_out, width=336, height=192, type=1):
aug.AlvaNormalizeUInt8Float(img_in, img_out, width, height, type)
return img_out
def normal(self, img_in, img_out):
return img_in
def rota_180(self, img_in, img_out):
return cv2.rotate(img_in, cv2.ROTATE_180)
def rand_aug(self, img_in):
img_in = np.asarray(img_in, dtype=np.uint8)
img_out = np.ones_like(img_in).astype(np.uint8)
aug_func = {
"left_right_flip": self.left_right_flip,
'up_down_flip': self.up_down_flip,
'pepper_salt': self.pepper_salt,
'contrast': self.contrast,
'average_rgb': self.average_rgb,
"normal": self.normal,
"rota_180": self.rota_180,
}
img_out_curr = np.ones_like(img_in[0]).astype(np.uint8)
aug_names = []
for i in range(img_in.shape[0]):
aug_name = random.sample(list(aug_func.keys()), 1)[0]
img_out_curr = aug_func[aug_name](np.squeeze(img_in[i]), img_out_curr)
img_out[i] = img_out_curr
aug_names.append(aug_name)
return img_out, aug_names
def image_aug(img_path):
import cv2
import time
aug_tools = AugmentImagesBase()
kernel = aug_tools._gauss_kernel(5, 5)
img_in = cv2.imread(img_path).astype(np.float32)
img_out = np.ones_like(img_in).astype(np.float32)
time1 = time.time()
for i in range(1000):
# img_out, aug_names = aug_tools.average_rgb(img_in, img_out)
img_out = aug_tools.filtering(img_in, img_out, kernel=kernel, kwidth=5, kheight=5)
time2 = time.time()
print("end time:", time2 - time1)
# cv2.imshow(aug_names[0], img_out[0])
cv2.imshow("aug img", img_out.astype(np.uint8))
cv2.imshow('src img', img_in.astype(np.uint8))
cv2.waitKey(0)
if __name__ == "__main__":
img_path = r"G:\20210917\img\1.jpg"
image_aug(img_path)PyArg_ParseTuple 的使用见：PyArg_ParseTuple
以上是“Python如何调用C++传递numpy数据”这篇文章的所有内容，感谢各位的阅读！相信大家都有了一定的了解，希望分享的内容对大家有所帮助，如果还想学习更多知识，欢迎关注亿速云行业资讯频道！
免责声明：本站发布的内容（图片、视频和文字）以原创、转载和分享为主，文章观点不代表本网站立场，如果涉及侵权请联系站长邮箱：is@yisu.com进行举报，并提供相关证据，一经查实，将立刻删除涉嫌侵权内容。