How to do float input data in C++ need help

[stone__jesse]

.py   pass and ok

resized = cv2.resize(image[:,:,::-1]/255., (new_w, new_h))

new_image = np.ones((net_h, net_w, 3)) * 0.5
new_image[(net_h-new_h)//2:(net_h+new_h)//2, (net_w-new_w)//2:(net_w+new_w)//2, :] = resized
new_image = np.expand_dims(new_image, 0) # add a dimension in X axis

batch_input = new_image                                #batch_input is normalize float value

batch_input = batch_input.transpose(0,3,1,2) #nchw

self.model.start_async(request_id=self.inferred_cnt, inputs={self.input_blob: batch_input})

c++ failed

InferenceEngine::InputsDataMap        inputInfo_vehicle(network_vehicle.getInputsInfo());
InferenceEngine::InputInfo::Ptr&    inputInfoFirst_vehicle = inputInfo_vehicle.begin()->second;
inputInfoFirst_vehicle->setPrecision(InferenceEngine::Precision::FP16);        //Precision::FP16------>failed,  Precision::U8 success
inputInfoFirst_vehicle->getInputData()->setLayout(InferenceEngine::Layout::NCHW);
inputName_vehicle = inputInfo_vehicle.begin()->first;

exenet_vehicle    = inferplugin.LoadNetwork(network_vehicle, "CPU", config); //Precision::FP16------>failed,  Precision::U8 success

//and

virtual void setImage(const cv::Mat& cvimg)
    {
        uint8_t*                    blob_data;
        InferenceEngine::Blob::Ptr    inputBlob;
        InferenceEngine::SizeVector blobSize;
        size_t                        width, height, channels;

        inputBlob = m_request->GetBlob(m_inputName);
        matU8ToBlob<uint8_t>(cvimg, inputBlob);

        blobSize = inputBlob->getTensorDesc().getDims();
        width = blobSize[3];
        height = blobSize[2];
        channels = blobSize[1];

        blob_data = inputBlob->buffer().as<uint8_t*>();

        for (size_t c = 0; c < 3; c++)
        {
            for (size_t h = 0; h < height; h++)
            {
                for (size_t w = 0; w < width; w++)
                {
                  // failed by blob_data[c * width * height + h * width + w] error access memory 

                   blob_data[c * width * height + h * width + w] = cvimg.at<float>(0, h, w * 3 + c);
                }
            }
        }
    }

[Shubha_R_Intel]

Dear stone, jesse

Replace InferenceEngine::Precision::FP16 with:  

                   InferenceEngine::Precision::I32 or InferenceEngine::Precision::FP32

Hope it helps,

Thanks,

Shubha