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// Copyright 2014 BVLC and contributors.
#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;
using google::protobuf::Message;
namespace caffe {
bool ReadProtoFromTextFile(const char* filename, Message* proto) {
int fd = open(filename, O_RDONLY);
CHECK_NE(fd, -1) << "File not found: " << filename;
FileInputStream* input = new FileInputStream(fd);
bool success = google::protobuf::TextFormat::Parse(input, proto);
delete input;
close(fd);
return success;
}
void WriteProtoToTextFile(const Message& proto, const char* filename) {
int fd = open(filename, O_WRONLY | O_CREAT | O_TRUNC, 0644);
FileOutputStream* output = new FileOutputStream(fd);
CHECK(google::protobuf::TextFormat::Print(proto, output));
delete output;
close(fd);
}
bool 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(1073741824, 536870912);
bool success = proto->ParseFromCodedStream(coded_input);
delete coded_input;
delete raw_input;
close(fd);
return success;
}
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, const bool iscolor, Datum* datum) {
cv::Mat cv_img;
int cv_read_flag = (iscolor ? CV_LOAD_IMAGE_COLOR : CV_LOAD_IMAGE_GRAYSCALE);
if (height > 0 && width > 0) {
cv::Mat cv_img_origin = cv::imread(filename, cv_read_flag);
cv::resize(cv_img_origin, cv_img, cv::Size(height, width));
} else {
cv_img = cv::imread(filename, cv_read_flag);
}
if (!cv_img.data) {
LOG(ERROR) << "Could not open or find file " << filename;
return false;
}
int num_channels = (iscolor ? 3 : 1);
datum->set_channels(num_channels);
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();
if (iscolor) {
for (int c = 0; c < num_channels; ++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]));
}
}
}
} else { // Faster than repeatedly testing iscolor for each pixel w/i loop
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<uchar>(h, w)));
}
}
}
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());
}
template <>
void hdf5_save_nd_dataset<float>(
const hid_t file_id, const string dataset_name, const Blob<float>& blob) {
hsize_t dims[HDF5_NUM_DIMS];
dims[0] = blob.num();
dims[1] = blob.channels();
dims[2] = blob.height();
dims[3] = blob.width();
herr_t status = H5LTmake_dataset_float(
file_id, dataset_name.c_str(), HDF5_NUM_DIMS, dims, blob.cpu_data());
CHECK_GE(status, 0) << "Failed to make float dataset " << dataset_name;
}
template <>
void hdf5_save_nd_dataset<double>(
const hid_t file_id, const string dataset_name, const Blob<double>& blob) {
hsize_t dims[HDF5_NUM_DIMS];
dims[0] = blob.num();
dims[1] = blob.channels();
dims[2] = blob.height();
dims[3] = blob.width();
herr_t status = H5LTmake_dataset_double(
file_id, dataset_name.c_str(), HDF5_NUM_DIMS, dims, blob.cpu_data());
CHECK_GE(status, 0) << "Failed to make double dataset " << dataset_name;
}
} // namespace caffe
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