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// Copyright 2013 Yangqing Jia
#include <stdint.h>
#include <fcntl.h>
#include <google/protobuf/text_format.h>
#include <google/protobuf/io/zero_copy_stream_impl.h>
#include <google/protobuf/io/coded_stream.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/highgui/highgui_c.h>
#include <opencv2/imgproc/imgproc.hpp>
#include <algorithm>
#include <string>
#include <vector>
#include <fstream> // NOLINT(readability/streams)
#include "caffe/common.hpp"
#include "caffe/util/io.hpp"
#include "caffe/proto/caffe.pb.h"
using std::fstream;
using std::ios;
using std::max;
using std::string;
using google::protobuf::io::FileInputStream;
using google::protobuf::io::FileOutputStream;
using google::protobuf::io::ZeroCopyInputStream;
using google::protobuf::io::CodedInputStream;
using google::protobuf::io::ZeroCopyOutputStream;
using google::protobuf::io::CodedOutputStream;
namespace caffe {
void ReadProtoFromTextFile(const char* filename,
::google::protobuf::Message* proto) {
int fd = open(filename, O_RDONLY);
CHECK_NE(fd, -1) << "File not found: " << filename;
FileInputStream* input = new FileInputStream(fd);
CHECK(google::protobuf::TextFormat::Parse(input, proto));
delete input;
close(fd);
}
void WriteProtoToTextFile(const Message& proto, const char* filename) {
int fd = open(filename, O_WRONLY);
FileOutputStream* output = new FileOutputStream(fd);
CHECK(google::protobuf::TextFormat::Print(proto, output));
delete output;
close(fd);
}
void ReadProtoFromBinaryFile(const char* filename, Message* proto) {
int fd = open(filename, O_RDONLY);
CHECK_NE(fd, -1) << "File not found: " << filename;
ZeroCopyInputStream* raw_input = new FileInputStream(fd);
CodedInputStream* coded_input = new CodedInputStream(raw_input);
coded_input->SetTotalBytesLimit(536870912, 268435456);
CHECK(proto->ParseFromCodedStream(coded_input));
delete coded_input;
delete raw_input;
close(fd);
}
void WriteProtoToBinaryFile(const Message& proto, const char* filename) {
fstream output(filename, ios::out | ios::trunc | ios::binary);
CHECK(proto.SerializeToOstream(&output));
}
bool ReadImageToDatum(const string& filename, const int label,
const int height, const int width, Datum* datum) {
cv::Mat cv_img;
if (height > 0 && width > 0) {
cv::Mat cv_img_origin = cv::imread(filename, CV_LOAD_IMAGE_COLOR);
cv::resize(cv_img_origin, cv_img, cv::Size(height, width));
} else {
cv_img = cv::imread(filename, CV_LOAD_IMAGE_COLOR);
}
if (!cv_img.data) {
LOG(ERROR) << "Could not open or find file " << filename;
return false;
}
datum->set_channels(3);
datum->set_height(cv_img.rows);
datum->set_width(cv_img.cols);
datum->set_label(label);
datum->clear_data();
datum->clear_float_data();
string* datum_string = datum->mutable_data();
for (int c = 0; c < 3; ++c) {
for (int h = 0; h < cv_img.rows; ++h) {
for (int w = 0; w < cv_img.cols; ++w) {
datum_string->push_back(
static_cast<char>(cv_img.at<cv::Vec3b>(h, w)[c]));
}
}
}
return true;
}
// Verifies format of data stored in HDF5 file and reshapes blob accordingly.
template <typename Dtype>
void hdf5_load_nd_dataset_helper(
hid_t file_id, const char* dataset_name_, int min_dim, int max_dim, Blob<Dtype>& blob) {
// Verify that the number of dimensions is in the accepted range.
herr_t status;
int ndims;
status = H5LTget_dataset_ndims(file_id, dataset_name_, &ndims);
CHECK_GE(ndims, min_dim);
CHECK_LE(ndims, max_dim);
// Verify that the data format is what we expect: float or double.
std::vector<hsize_t> dims(ndims);
H5T_class_t class_;
status = H5LTget_dataset_info(
file_id, dataset_name_, dims.data(), &class_, NULL);
CHECK_EQ(class_, H5T_FLOAT) << "Expected float or double data";
blob.Reshape(
dims[0],
(dims.size() > 1) ? dims[1] : 1,
(dims.size() > 2) ? dims[2] : 1,
(dims.size() > 3) ? dims[3] : 1
);
}
template <>
void hdf5_load_nd_dataset<float>(hid_t file_id, const char* dataset_name_,
int min_dim, int max_dim, Blob<float>& blob) {
hdf5_load_nd_dataset_helper(file_id, dataset_name_, min_dim, max_dim, blob);
herr_t status = H5LTread_dataset_float(
file_id, dataset_name_, blob.mutable_cpu_data());
}
template <>
void hdf5_load_nd_dataset<double>(hid_t file_id, const char* dataset_name_,
int min_dim, int max_dim, Blob<double>& blob) {
hdf5_load_nd_dataset_helper(file_id, dataset_name_, min_dim, max_dim, blob);
herr_t status = H5LTread_dataset_double(
file_id, dataset_name_, blob.mutable_cpu_data());
}
} // namespace caffe
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