本文整理汇总了C++中boost::shared_ptr::ForwardPrefilled方法的典型用法代码示例。如果您正苦于以下问题：C++ shared_ptr::ForwardPrefilled方法的具体用法？C++ shared_ptr::ForwardPrefilled怎么用？C++ shared_ptr::ForwardPrefilled使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类boost::shared_ptr的用法示例。
在下文中一共展示了shared_ptr::ForwardPrefilled方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: outim
//.........这里部分代码省略.........
// 画像を直列に変換
{
float *fptr = input_block + (input_block_plane_size * n);
const float *uptr = (const float *)someborderimg.data;
const auto Line = someborderimg.step1();
if (someborderimg.channels() == 1)
{
if (input_block_size == Line)
memcpy(fptr, uptr, input_block_size * input_block_size * sizeof(float));
else
{
for (int i = 0; i < input_block_size; i++)
memcpy(fptr + i * input_block_size, uptr + i * Line, input_block_size * sizeof(float));
}
}
else
{
const auto LinePixel = someborderimg.step1() / someborderimg.channels();
const auto Channel = someborderimg.channels();
const auto Width = someborderimg.size().width;
const auto Height = someborderimg.size().height;
for (int i = 0; i < Height; i++)
{
for (int j = 0; j < LinePixel; j++)
{
for (int ch = 0; ch < Channel; ch++)
fptr[(ch * Height + i) * Width + j] = uptr[(i * LinePixel + j) * Channel + ch];
}
}
}
}
}
}
assert(input_blob->count() == input_block_plane_size * processNum);
// ネットワークに画像を入力
input_blob->set_cpu_data(input_block);
// 計算
auto out = net->ForwardPrefilled(nullptr);
auto b = out[0];
assert(b->count() == output_block_plane_size * processNum);
const float *ptr = nullptr;
if (caffe::Caffe::mode() == caffe::Caffe::CPU)
ptr = b->cpu_data();
else
ptr = b->gpu_data();
caffe::caffe_copy(output_block_plane_size * processNum, ptr, output_block);
for (int n = 0; n < processNum; n++)
{
const int wn = (num + n) % WidthNum;
const int hn = (num + n) / WidthNum;
const int w = wn * output_size;
const int h = hn * output_size;
const float *fptr = output_block + (output_block_plane_size * n);
// 結果を出力画像にコピー
if (outim.channels() == 1)
{
for (int i = 0; i < crop_size; i++)
memcpy(imptr + (h + i) * Line + w, fptr + (i + output_padding) * output_block_size + output_padding, crop_size * sizeof(float));
}
else
{
const auto LinePixel = outim.step1() / outim.channels();
const auto Channel = outim.channels();
for (int i = 0; i < crop_size; i++)
{
for (int j = 0; j < crop_size; j++)
{
for (int ch = 0; ch < Channel; ch++)
imptr[((h + i) * LinePixel + (w + j)) * Channel + ch] = fptr[(ch * output_block_size + i + output_padding) * output_block_size + j + output_padding];
}
}
}
}
}
}
catch (...)
{
return eWaifu2xError_FailedProcessCaffe;
}
im = outim;
return eWaifu2xError_OK;
}