全是看了大佬们的帖子，结合chatGPT才揉出来。在此做个记录。
- 安装python
- 在Qt Creator *.pro 文件中配置好环境
- 来个简单的example.py
- 调用代码
- 安装pip
- 添加opencv等库
- 调用包含了opencv库的py代码
- 成功
*.pro配置：
INCLUDEPATH += C:\Users\xuanm\AppData\Local\Programs\Python\Python312\include
LIBS += -LC:\Users\xuanm\AppData\Local\Programs\Python\Python312\libs -lpython312example.py源码：
# example.py
def add(a, b):return a + b
Qt Creator里面调用example.py的C++函数：
int MainWindow::testPy()
{const wchar_t * pythonHome = L"C:/Users/xuanm/AppData/Local/Programs/Python/Python312";Py_SetPythonHome(pythonHome);// 初始化 Python 解释器Py_Initialize();// 添加目录到 Python 模块搜索路径PyObject* sysPath = PySys_GetObject("path");PyObject* pPath = PyUnicode_FromString("C:/temp");PyList_Append(sysPath, pPath);Py_DECREF(pPath); // 释放引用// 导入 Python 脚本PyObject* pModule = PyImport_ImportModule("example");if (!pModule) {PyErr_Print();std::cerr << "Failed to load module." << std::endl;return 1;}// 获取函数对象PyObject* pFunc = PyObject_GetAttrString(pModule, "add");if (!pFunc || !PyCallable_Check(pFunc)) {PyErr_Print();std::cerr << "Failed to get function." << std::endl;return 1;}// 准备参数PyObject* pArgs = PyTuple_Pack(2, PyLong_FromLong(5), PyLong_FromLong(3));// 调用函数PyObject* pValue = PyObject_CallObject(pFunc, pArgs);if (pValue) {// 打印结果std::cout << "Result: " << PyLong_AsLong(pValue) << std::endl;Py_DECREF(pValue);} else {PyErr_Print();std::cerr << "Function call failed." << std::endl;}// 清理Py_XDECREF(pFunc);Py_XDECREF(pModule);Py_XDECREF(pArgs);// 结束 Python 解释器Py_Finalize();
}
含opencv库的*.py:
#-*- coding: utf-8 -*-import os.path
import copy
import cv2
import numpy as np# 椒盐噪声
def SaltAndPepper(src, percetage):SP_NoiseImg = src.copy()SP_NoiseNum = int(percetage * src.shape[0] * src.shape[1])for i in range(SP_NoiseNum):randR = np.random.randint(0, src.shape[0] - 1)randG = np.random.randint(0, src.shape[1] - 1)randB = np.random.randint(0, 3)if np.random.randint(0, 1) == 0:SP_NoiseImg[randR, randG, randB] = 0else:SP_NoiseImg[randR, randG, randB] = 255return SP_NoiseImg# 高斯噪声
def addGaussianNoise(image, percetage):G_Noiseimg = image.copy()w = image.shape[1]h = image.shape[0]G_NoiseNum = int(percetage * image.shape[0] * image.shape[1])for i in range(G_NoiseNum):temp_x = np.random.randint(0, h)temp_y = np.random.randint(0, w)G_Noiseimg[temp_x][temp_y][np.random.randint(3)] = np.random.randn(1)[0]return G_Noiseimg# 昏暗
def darker(image, percetage=0.9):image_copy = image.copy()w = image.shape[1]h = image.shape[0]# get darkerfor xi in range(0, w):for xj in range(0, h):image_copy[xj, xi, 0] = int(image[xj, xi, 0] * percetage)image_copy[xj, xi, 1] = int(image[xj, xi, 1] * percetage)image_copy[xj, xi, 2] = int(image[xj, xi, 2] * percetage)return image_copy# 亮度
def brighter(image, percetage=1.5):image_copy = image.copy()w = image.shape[1]h = image.shape[0]# get brighterfor xi in range(0, w):for xj in range(0, h):image_copy[xj, xi, 0] = np.clip(int(image[xj, xi, 0] * percetage), a_max=255, a_min=0)image_copy[xj, xi, 1] = np.clip(int(image[xj, xi, 1] * percetage), a_max=255, a_min=0)image_copy[xj, xi, 2] = np.clip(int(image[xj, xi, 2] * percetage), a_max=255, a_min=0)return image_copy# 旋转
def rotate(image, angle, center=None, scale=1.0):(h, w) = image.shape[:2]# If no rotation center is specified, the center of the image is set as the rotation centerif center is None:center = (w / 2, h / 2)m = cv2.getRotationMatrix2D(center, angle, scale)rotated = cv2.warpAffine(image, m, (w, h))return rotated# 翻转
def flip(image):flipped_image = np.fliplr(image)return flipped_imagedef work(file_dir):
# 图片文件夹路径for img_name in os.listdir(file_dir):img_path = file_dir + '\\' + img_nameimg = cv2.imread(img_path)# cv2.imshow("1",img)# cv2.waitKey(5000)# 旋转rotated_90 = rotate(img, 90)cv2.imwrite(file_dir +'\\'+ img_name[0:-4] + '_r90.jpg', rotated_90)# rotated_180 = rotate(img, 180)# cv2.imwrite(file_dir +'\\'+ img_name[0:-4] + '_r180.jpg', rotated_180)# for img_name in os.listdir(file_dir):# img_path = file_dir + img_name# img = cv2.imread(img_path)# 镜像# flipped_img = flip(img)# cv2.imwrite(file_dir +'\\' + img_name[0:-4] + '_fli.jpg', flipped_img)## # 增加噪声# img_salt = SaltAndPepper(img, 0.3)# cv2.imwrite(file_dir + '\\' + img_name[0:-4] + '_salt.jpg', img_salt)# img_gauss = addGaussianNoise(img, 0.3)# cv2.imwrite(file_dir +'\\' + img_name[0:-4] + '_noise.jpg', img_gauss)## # 变亮、变暗# img_darker = darker(img)# cv2.imwrite(file_dir +'\\' + img_name[0:-4] + '_darker.jpg', img_darker)# img_brighter = brighter(img)# cv2.imwrite(file_dir + '\\' + img_name[0:-4] + '_brighter.jpg', img_brighter)## blur = cv2.GaussianBlur(img, (7, 7), 1.5)# # cv2.GaussianBlur(图像，卷积核，标准差）# cv2.imwrite(file_dir + img_name[0:-4] + '_blur.jpg', blur)
调用含opencv库的*.py C++函数：
int MainWindow::testYBZQ()
{const wchar_t * pythonHome = L"C:/Users/xuanm/AppData/Local/Programs/Python/Python312";Py_SetPythonHome(pythonHome);// 初始化 Python 解释器Py_Initialize();// 添加目录到 Python 模块搜索路径PyObject* sysPath = PySys_GetObject("path");PyObject* pPath = PyUnicode_FromString("C:/temp");PyList_Append(sysPath, pPath);Py_DECREF(pPath); // 释放引用// 添加标准库路径PyObject* stdLibPath = PyUnicode_FromString("C:/Users/xuanm/AppData/Local/Programs/Python/Python312/libs");PyList_Append(sysPath, stdLibPath);Py_DECREF(stdLibPath);// 添加 site-packages 路径PyObject* sitePackagesPath = PyUnicode_FromString("C:/Users/xuanm/AppData/Local/Programs/Python/Python312/Lib/site-packages");PyList_Append(sysPath, sitePackagesPath);Py_DECREF(sitePackagesPath);// 导入 Python 脚本PyObject* pModule = PyImport_ImportModule("data_augmentation");if (!pModule) {PyErr_Print();std::cerr << "Failed to load module." << std::endl;return 1;}// 获取函数对象PyObject* pFunc = PyObject_GetAttrString(pModule, "work");if (!pFunc || !PyCallable_Check(pFunc)) {PyErr_Print();std::cerr << "Failed to get function." << std::endl;return 1;}// 准备参数std::string strParam = "C:/temp/sar_sample";PyObject* pStrParam = PyUnicode_FromString(strParam.c_str());PyObject* pArgs = PyTuple_Pack(1, pStrParam);// 调用函数PyObject* pValue = PyObject_CallObject(pFunc, pArgs);if (pValue) {// 打印结果std::cout << "Result: " << PyLong_AsLong(pValue) << std::endl;Py_DECREF(pValue);} else {PyErr_Print();std::cerr << "Function call failed." << std::endl;}// 清理Py_XDECREF(pFunc);Py_XDECREF(pModule);Py_XDECREF(pArgs);// 结束 Python 解释器Py_Finalize();
}程序运行出了正确结果，报错：
Result: -1
TypeError: 'NoneType' object cannot be interpreted as an integer
再次感谢各位大佬的帖子，谢谢。