inline bool ReadImageToDatum(const string& filename, const int label,
Datum* datum) {
return ReadImageToDatum(filename, label, 0, 0, datum);
}
inline bool ReadImageToDatum(const string& filename, const int label,
const int height, const int width, Datum* datum) {
return ReadImageToDatum(filename, label, height, width, true, datum);
}
void MyImageDataLayer<Dtype>::SetUp(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top) {
Layer<Dtype>::SetUp(bottom, top);
const int new_height = this->layer_param_.image_data_param().new_height();
const int new_width = this->layer_param_.image_data_param().new_width();
CHECK((new_height == 0 && new_width == 0) ||
(new_height > 0 && new_width > 0)) << "Current implementation requires "
"new_height and new_width to be set at the same time.";
/*
* 因为下面需要随便拿一张图片来初始化blob。
* 因此需要硬盘上有一张图片。
* 1 从prototxt读取一张图片的路径，
* 2 其实也可以在这里将用于初始化的图片路径写死
*/
/*1*/
//jin
const string& source = this->layer_param_.image_data_param().source();
LOG(INFO) << "Opening file " << source;
std::ifstream infile(source.c_str());
string filename;
int label;
while (infile >> filename >> label) {
lines_.push_back(std::make_pair(filename, label));
break; //jin
}
/*2*/
//lines_.push_back(std::make_pair("/home/linger/init.jpg", 1));
//上面1和2代码可以任意用一段
lines_id_ = 0;
// Read a data point, and use it to initialize the top blob. (随便)读取一张图片，来初始化blob
Datum datum;
CHECK(ReadImageToDatum(lines_[lines_id_].first, lines_[lines_id_].second,
new_height, new_width, &datum));
// image
const int crop_size = this->layer_param_.image_data_param().crop_size();
const int batch_size = 1;//this->layer_param_.image_data_param().batch_size();
const string& mean_file = this->layer_param_.image_data_param().mean_file();
if (crop_size > 0) {
(*top)[0]->Reshape(batch_size, datum.channels(), crop_size, crop_size);
prefetch_data_.Reshape(batch_size, datum.channels(), crop_size, crop_size);
} else {
(*top)[0]->Reshape(batch_size, datum.channels(), datum.height(),
datum.width());
prefetch_data_.Reshape(batch_size, datum.channels(), datum.height(),
datum.width());
}
LOG(INFO) << "output data size: " << (*top)[0]->num() << ","
<< (*top)[0]->channels() << "," << (*top)[0]->height() << ","
<< (*top)[0]->width();
// label
(*top)[1]->Reshape(batch_size, 1, 1, 1);
prefetch_label_.Reshape(batch_size, 1, 1, 1);
// datum size
datum_channels_ = datum.channels();
datum_height_ = datum.height();
datum_width_ = datum.width();
datum_size_ = datum.channels() * datum.height() * datum.width();
CHECK_GT(datum_height_, crop_size);
CHECK_GT(datum_width_, crop_size);
// check if we want to have mean
if (this->layer_param_.image_data_param().has_mean_file()) {
BlobProto blob_proto;
LOG(INFO) << "Loading mean file from" << mean_file;
ReadProtoFromBinaryFile(mean_file.c_str(), &blob_proto);
data_mean_.FromProto(blob_proto);
CHECK_EQ(data_mean_.num(), 1);
CHECK_EQ(data_mean_.channels(), datum_channels_);
CHECK_EQ(data_mean_.height(), datum_height_);
CHECK_EQ(data_mean_.width(), datum_width_);
} else {
// Simply initialize an all-empty mean.
data_mean_.Reshape(1, datum_channels_, datum_height_, datum_width_);
}
// Now, start the prefetch thread. Before calling prefetch, we make two
// cpu_data calls so that the prefetch thread does not accidentally make
// simultaneous cudaMalloc calls when the main thread is running. In some
// GPUs this seems to cause failures if we do not so.
prefetch_data_.mutable_cpu_data();
prefetch_label_.mutable_cpu_data();
data_mean_.cpu_data();
}
void MyImageDataLayer<Dtype>::fetchData() {
Datum datum;
CHECK(prefetch_data_.count());
Dtype* top_data = prefetch_data_.mutable_cpu_data();
Dtype* top_label = prefetch_label_.mutable_cpu_data();
ImageDataParameter image_data_param = this->layer_param_.image_data_param();
const Dtype scale = image_data_param.scale();//image_data_layer相关参数
const int batch_size = 1;//image_data_param.batch_size(); 这里我们只需要一张图片
const int crop_size = image_data_param.crop_size();
const bool mirror = image_data_param.mirror();
const int new_height = image_data_param.new_height();
const int new_width = image_data_param.new_width();
if (mirror && crop_size == 0) {
LOG(FATAL) << "Current implementation requires mirror and crop_size to be "
<< "set at the same time.";
}
// datum scales
const int channels = datum_channels_;
const int height = datum_height_;
const int width = datum_width_;
const int size = datum_size_;
const int lines_size = lines_.size();
const Dtype* mean = data_mean_.cpu_data();
for (int item_id = 0; item_id < batch_size; ++item_id) {//读取一图片
// get a blob
CHECK_GT(lines_size, lines_id_);
if (!ReadImageToDatum(lines_[lines_id_].first,
lines_[lines_id_].second,
new_height, new_width, &datum)) {
continue;
}
const string& data = datum.data();
if (crop_size) {
CHECK(data.size()) << "Image cropping only support uint8 data";
int h_off, w_off;
// We only do random crop when we do training.
h_off = (height - crop_size) / 2;
w_off = (width - crop_size) / 2;
// Normal copy 正常读取，把裁剪后的图片数据读给top_data
for (int c = 0; c < channels; ++c) {
for (int h = 0; h < crop_size; ++h) {
for (int w = 0; w < crop_size; ++w) {
int top_index = ((item_id * channels + c) * crop_size + h)
* crop_size + w;
int data_index = (c * height + h + h_off) * width + w + w_off;
Dtype datum_element =
static_cast<Dtype>(static_cast<uint8_t>(data[data_index]));
top_data[top_index] = (datum_element - mean[data_index]) * scale;
}
}
}
} else {
// Just copy the whole data 正常读取，把图片数据读给top_data
if (data.size()) {
for (int j = 0; j < size; ++j) {
Dtype datum_element =
static_cast<Dtype>(static_cast<uint8_t>(data[j]));
top_data[item_id * size + j] = (datum_element - mean[j]) * scale;
}
} else {
for (int j = 0; j < size; ++j) {
top_data[item_id * size + j] =
(datum.float_data(j) - mean[j]) * scale;
}
}
}
top_label[item_id] = datum.label();//读取该图片的标签
}
}
inline bool ReadImageToDatum(const string& filename, const int label,
const int height, const int width, const bool is_color, Datum* datum) {
return ReadImageToDatum(filename, label, height, width, is_color,
"", datum);
}
inline bool ReadImageToDatum(const string& filename, const int label,
const std::string & encoding, Datum* datum) {
return ReadImageToDatum(filename, label, 0, 0, true, encoding, datum);
}
