C++调用pytorch模型

前言

记一次C++调用pytorch模型踩坑记录，跨语言是AI中急需解决的问题，本文采用#include <Python.h>执行python代码

问题：Cant open python file!

解决办法：将python环境的Dlls文件复制过来（通过sys.path排除）

问题：<built-in method locked of _thread.lock object at 0x000000002A2E7328>returned a result with an error set

原因分析：Python文件执行时间太长耽误了C++主线程

解决办法：C++启动多线程调用Python（仍然无法解决）

另外的方法：一条一条执行每条python指令（已解决）

这样就可以运行处模型结果

#include "workthread.h"
#include <QtDebug>
#include <Python.h>
#include <QMutex>
QMutex mutex;
WorkThread::WorkThread()
{

}
void WorkThread::run()
{
    mutex.lock();
    Py_Initialize();          //初始化Python解释器
    if ( !Py_IsInitialized() )
    {
        qDebug()<<"python初始化失败";
    }
    else
    {
        //PyRun_SimpleString("import sys");        //执行单句Python语句，用于给出调用模块的路径，否则将无法找到相应的调用模块
        //PyRun_SimpleString("print(sys.path)");                       //在C++中执行python语句

        PyRun_SimpleString("import torch");
        PyRun_SimpleString("import numpy as np");
        PyRun_SimpleString("from torch.autograd import Variable");
        PyRun_SimpleString("from torchvision import transforms");
        PyRun_SimpleString("from PIL import Image");
        PyRun_SimpleString("img = Image.open('1.jpg')");
        PyRun_SimpleString("transform = transforms.Compose([transforms.Resize((300, 300), interpolation=2),transforms.ToTensor(),transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])])");
        PyRun_SimpleString("img = transform(img)");
        PyRun_SimpleString("img = img.unsqueeze(0)");
        PyRun_SimpleString("im = Variable(img)");
        PyRun_SimpleString("Resnet_model = torch.load('Resnet18_1.pkl', map_location=lambda storage, loc: storage)");
        PyRun_SimpleString("Resnet_model.eval()");
        PyRun_SimpleString("pre = Resnet_model(im)");
        PyRun_SimpleString("numpy_array = pre.detach().numpy()");
        PyRun_SimpleString("numpy_array = np.squeeze(numpy_array, axis=0)");
        PyRun_SimpleString("output_np = np.argmax(numpy_array, axis=0)");
        PyRun_SimpleString("pre_data = output_np.astype(np.uint8)");
        PyRun_SimpleString("print(pre_data)");
        PyRun_SimpleString("print('end')");

        PyObject* pModule = PyImport_ImportModule("use_model");  // 这里的test_py就是创建的python文件
        if (!pModule)
        {
                qDebug()<< "Cant open python file!\n" << endl;
        }
        else
        {
            PyObject* pFunhello= PyObject_GetAttrString(pModule,"hello");  // 这里的hellow就是python文件定义的函数
            PyRun_SimpleString("print('!!!!!!!')");                       //在C++中执行python语句
            if(!pFunhello)
            {
                qDebug()<<"Get function hello failed"<< endl;
            }
            PyObject_CallFunction(pFunhello,NULL);
        }
         Py_Finalize();
    }
    mutex.unlock();
}