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昇腾小AI

C++样例

样例一

函数原型:

APP_ERROR SendProtobuf(const std::string& streamName, int inPluginId, std::vector<MxstProtobufIn>& protoVec);
  • C++版 MxTools.MxpiVisionLists使用样例(MxpiVisionList.cpp)
    #include <string.h>
    #include "MxBase/Log/Log.h"
    #include "MxStream/StreamManager/MxStreamManager.h"
    #include "MxTools/Proto/MxpiDataType.pb.h"
    
    APP_ERROR ReadFile(const std::string& filePath, MxStream::MxstDataInput& dataBuffer)
    {
        char c[PATH_MAX + 1] = { 0x00 };
        size_t count = filePath.copy(c, PATH_MAX + 1);
        if (count != filePath.length()) {
            LogError << "Failed to strcpy " << c;
            return APP_ERR_COMM_FAILURE;
        }
    
        char path[PATH_MAX + 1] = { 0x00 };
        if ((strlen(c) > PATH_MAX) || (realpath(c, path) == nullptr)) {
            LogError << "Failed to get image path(" << filePath << ").";
            return APP_ERR_COMM_NO_EXIST;
        }
        FILE *fp = fopen(path, "rb");
        if (fp == nullptr) {
            LogError << "Failed to open file";
            return APP_ERR_COMM_OPEN_FAIL;
        }
    
        fseek(fp, 0, SEEK_END);
        long fileSize = ftell(fp);
        fseek(fp, 0, SEEK_SET);
    
        if (fileSize > 0) {
            dataBuffer.dataSize = fileSize;
            dataBuffer.dataPtr = new (std::nothrow) uint32_t[fileSize];
            if (dataBuffer.dataPtr == nullptr) {
                LogError << "allocate memory with \"new uint32_t\" failed.";
                return APP_ERR_COMM_FAILURE;
            }
            uint32_t readRet = fread(dataBuffer.dataPtr, 1, fileSize, fp);
            if (readRet <= 0) {
                fclose(fp);
                return APP_ERR_COMM_READ_FAIL;
            }
            fclose(fp);
            return APP_ERR_OK;
        }
        fclose(fp);
        return APP_ERR_COMM_FAILURE;
    }
    std::string ReadPipelineConfig(std::string &pipelineConfigPath)
    {
        std::ifstream file(pipelineConfigPath.c_str(), std::ifstream::binary);
        if (!file) {
            LogError << pipelineConfigPath <<" file is not exists";
            return "";
        }
        file.seekg(0, std::ifstream::end);
        uint32_t fileSize = file.tellg();
        file.seekg(0);
        std::unique_ptr<char[]> data(new char[fileSize]);
        file.read(data.get(), fileSize);
        file.close();
        std::string pipelineConfig(data.get(), fileSize);
        return pipelineConfig;
    }
    int main(int argc, char*argv[])
    {
        MxStream::MxstDataInput dataInput;
        APP_ERROR ret = ReadFile("./test.yuv", dataInput);
        if (ret != APP_ERR_OK) {
            LogError << "Failed to read image file, ret = " << ret;
            return ret;
        }
    
        std::string pipelineConfigPath = "./Sample.pipeline";
        std::string pipelineConfig = ReadPipelineConfig(pipelineConfigPath);
        if (pipelineConfig == "") {
            return APP_ERR_COMM_INIT_FAIL;
        }
    
        auto *mxStreamManager = new MxStream::MxStreamManager();
        ret = mxStreamManager->InitManager();
        if (ret != APP_ERR_OK) {
            LogError << "Failed to init Stream manager, ret = " << ret << ".";
            return ret;
        }
        ret = mxStreamManager->CreateMultipleStreams(pipelineConfig);
        if (ret != APP_ERR_OK) {
            LogError << "Failed to create Stream, ret = " << ret << ".";
            return ret;
        }
    
        std::shared_ptr<MxTools::MxpiVisionList> objectList = std::make_shared<MxTools::MxpiVisionList>();
        MxTools::MxpiVision* MxpiVision = objectList->add_visionvec();
        MxTools::MxpiVisionInfo *visioninfo =  MxpiVision->mutable_visioninfo();
        visioninfo->set_format(12);
        visioninfo->set_width(416);
        visioninfo->set_height(416);
        visioninfo->set_widthaligned(416);
        visioninfo->set_heightaligned(416);
        MxTools::MxpiVisionData *visiondata =  MxpiVision->mutable_visiondata();
        visiondata->set_dataptr((uint64_t)dataInput.dataPtr);
        visiondata->set_datasize(dataInput.dataSize);
        visiondata->set_memtype(MxTools::MXPI_MEMORY_HOST_NEW);
        MxStream::MxstProtobufIn dataBuffer;
        dataBuffer.key = "appsrc0";
        dataBuffer.messagePtr = std::static_pointer_cast<google::protobuf::Message>(objectList);
        std::vector<MxStream::MxstProtobufIn> dataBufferVec;
        dataBufferVec.push_back(dataBuffer);
    
        std::string streamName = "classification";
        int inPluginId = 0;
        std::vector<std::string> keyVec;
        keyVec.push_back(dataBuffer.key);
        ret = mxStreamManager->SendProtobuf(streamName, inPluginId, dataBufferVec);
        std::vector<MxStream::MxstProtobufOut> output = mxStreamManager->GetProtobuf(streamName, inPluginId, keyVec);
        if (output.size() == 0) {
            LogError << "output size is 0";
    	return APP_ERR_ACL_FAILURE;		
        }
        if (output[0].errorCode != APP_ERR_OK) {
            LogError << "GetProtobuf error. errorCode=" << output[0].errorCode;
            return output[0].errorCode;
        }
        LogInfo << "errorCode=" << output[0].errorCode;
        LogInfo << "key=" << output[0].messageName;
        LogInfo << "value=" << output[0].messagePtr.get()->DebugString();
    
        mxStreamManager->DestroyAllStreams();
        delete mxStreamManager;
        mxStreamManager = nullptr;
        return 0;
    }
  • Sample.pipeline
    {
        "classification": {
            "stream_config": {
                "deviceId": "0"
            },
            "appsrc0": {
                "props": {
                    "blocksize": "409600"
                },
                "factory": "appsrc",
                "next": "mxpi_datatransfer0"
            },
            "mxpi_datatransfer0": {
                "props": {
                    "dataSource": "appsrc0",
                    "transferMode": "auto",
                    "removeSourceData": "yes"
                },
                "factory": "mxpi_datatransfer",
                "next": "mxpi_tensorinfer0"
            },
            "mxpi_tensorinfer0": {
                "props": {
                    "dataSource": "mxpi_datatransfer0",
                    "modelPath": "../models/yolov3/yolov3_tf_bs1_fp16.om"
                },
                "factory": "mxpi_tensorinfer",
                "next": "mxpi_objectpostprocessor0"
            },
            "mxpi_objectpostprocessor0": {
                "props": {
                    "dataSource": "mxpi_tensorinfer0",
                    "postProcessConfigPath": "../models/yolov3/yolov3_tf_bs1_fp16.cfg",
                    "labelPath": "../models/yolov3/yolov3.names",
                    "postProcessLibPath": "libyolov3postprocess.so"
                },
                "factory": "mxpi_objectpostprocessor",
                "next": "mxpi_dataserialize0"
            },
            "mxpi_dataserialize0": {
                "props": {
                    "outputDataKeys": "mxpi_objectpostprocessor0"
                },
                "factory": "mxpi_dataserialize",
                "next": "appsink0"
            },
            "appsink0": {
                "props": {
                    "blocksize": "4096000"
                },
                "factory": "appsink"
            }
        }
    }
  • 编译脚本“run.sh”
    set -e
    
    CUR_PATH=$(cd "$(dirname "$0")" || { warn "Failed to check path/to/run.sh" ; exit ; } ; pwd)
    
    # Simple log helper functions
    info() { echo -e "\033[1;34m[INFO ][MxStream] $1\033[1;37m" ; }
    warn() { echo >&2 -e "\033[1;31m[WARN ][MxStream] $1\033[1;37m" ; }
    
    export MX_SDK_HOME="${CUR_PATH}/../../.."
    export LD_LIBRARY_PATH="${MX_SDK_HOME}/lib":"${MX_SDK_HOME}/opensource/lib":"${MX_SDK_HOME}/opensource/lib64":"/usr/local/Ascend/ascend-toolkit/latest/acllib/lib64":"/usr/local/Ascend/driver/lib64":${LD_LIBRARY_PATH}
    export GST_PLUGIN_SCANNER="${MX_SDK_HOME}/opensource/libexec/gstreamer-1.0/gst-plugin-scanner"
    export GST_PLUGIN_PATH="${MX_SDK_HOME}/opensource/lib/gstreamer-1.0":"${MX_SDK_HOME}/lib/plugins"
    
    # complie
    cmake -S . -Bbuild
    make -C ./build  -j
    
    # run
    ./main
    exit 0

样例二

函数原型:

APP_ERROR SendProtobuf(const std::string& streamName, const std::string& elementName, std::vector<MxstProtobufIn>& protoVec);
std::string elementName = "appsrc0"
APP_ERROR ret = mxStreamManager->SendProtobuf(streamName, elementName, mxstProtobufInVec);
if (ret != APP_ERR_OK) {
    LogError << GetError(ret) << "SendProtobuf failed.";
    return ret;
}
std::vector<std::string> keys = {"appsrc0"};
std::vector<MxStream::MxstProtobufOut> mxstProtobufOutVec =
        mxStreamManager->GetProtobuf(streamName, outPluginId, keys);
for (uint32_t i = 0; i < mxstProtobufOutVec.size(); i++) {
    auto mxstProtobufOut = mxstProtobufOutVec[i];
    if (mxstProtobufOut.errorCode != APP_ERR_OK) {
        LogError << GetError(mxstProtobufOut.errorCode) << "GetProtobuf failed";
        return mxstProtobufOut.errorCode;
    }
    LogInfo << "result:" << mxstProtobufOut.messagePtr->DebugString();
}
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