提交 7fea7e06 编写于 作者: V Vadim Pisarevsky

Merge pull request #6697 from wiryls:FileStorageBase64

......@@ -89,6 +89,8 @@ the extension of the opened file, ".xml" for XML files and ".yml" or ".yaml" for
*/
typedef struct CvFileStorage CvFileStorage;
typedef struct CvFileNode CvFileNode;
typedef struct CvMat CvMat;
typedef struct CvMatND CvMatND;
//! @} core_c
......@@ -1238,6 +1240,17 @@ inline String::String(const FileNode& fn): cstr_(0), len_(0) { read(fn, *this, *
//! @endcond
CV_EXPORTS void cvStartWriteRawData_Base64(::CvFileStorage * fs, const char* name, int len, const char* dt);
CV_EXPORTS void cvWriteRawData_Base64(::CvFileStorage * fs, const void* _data, int len);
CV_EXPORTS void cvEndWriteRawData_Base64(::CvFileStorage * fs);
CV_EXPORTS void cvWriteMat_Base64(::CvFileStorage* fs, const char* name, const ::CvMat* mat);
CV_EXPORTS void cvWriteMatND_Base64(::CvFileStorage* fs, const char* name, const ::CvMatND* mat);
} // cv
#endif // __OPENCV_CORE_PERSISTENCE_HPP__
#endif // __OPENCV_CORE_PERSISTENCE_HPP__
\ No newline at end of file
此差异已折叠。
......@@ -574,6 +574,153 @@ TEST(Core_InputOutput, FileStorageKey)
EXPECT_NO_THROW(f << "key1" << "value1");
EXPECT_NO_THROW(f << "_key2" << "value2");
EXPECT_NO_THROW(f << "key_3" << "value3");
const std::string expected = "%YAML:1.0\nkey1: value1\n_key2: value2\nkey_3: value3\n";
const std::string expected = "%YAML 1.0\n---\nkey1: value1\n_key2: value2\nkey_3: value3\n";
ASSERT_STREQ(f.releaseAndGetString().c_str(), expected.c_str());
}
TEST(Core_InputOutput, filestorage_yml_compatibility)
{
// TODO:
}
class CV_Base64IOTest : public cvtest::BaseTest
{
private:
std::string file_name;
struct data_t
{
uchar u1, u2;
int i1, i2, i3;
double d1, d2;
int i4;
};
public:
CV_Base64IOTest(std::string const & test_file_name)
: file_name(test_file_name) {}
~CV_Base64IOTest() {}
protected:
void run(int)
{
try
{
std::vector<data_t> rawdata;
cv::Mat _em_out, _em_in;
cv::Mat _2d_out, _2d_in;
cv::Mat _nd_out, _nd_in;
{ /* init */
/* normal mat */
_2d_out = cv::Mat(100, 100, CV_8UC3, cvScalar(1U, 2U, 127U));
for (int i = 0; i < _2d_out.rows; ++i)
for (int j = 0; j < _2d_out.cols; ++j)
_2d_out.at<cv::Vec3b>(i, j)[1] = (i + j) % 256;
/* 4d mat */
const int Size[] = {4, 4, 4, 4};
cv::Mat _4d(4, Size, CV_64FC4, cvScalar(0.888, 0.111, 0.666, 0.444));
const cv::Range ranges[] = {
cv::Range(0, 2),
cv::Range(0, 2),
cv::Range(1, 2),
cv::Range(0, 2) };
_nd_out = _4d(ranges);
/* raw data */
for (int i = 0; i < 1000; i++) {
data_t tmp;
tmp.u1 = 1;
tmp.u2 = 2;
tmp.i1 = 1;
tmp.i2 = 2;
tmp.i3 = 3;
tmp.d1 = 0.1;
tmp.d2 = 0.2;
tmp.i4 = i;
rawdata.push_back(tmp);
}
}
{ /* write */
cv::FileStorage fs(file_name, cv::FileStorage::WRITE);
CvMat holder = _2d_out;
cv::cvWriteMat_Base64(*fs, "normal_2d_mat", &holder);
CvMatND holder_nd = _nd_out;
cv::cvWriteMatND_Base64(*fs, "normal_nd_mat", &holder_nd);
holder = _em_out;
cv::cvWriteMat_Base64(*fs, "empty_2d_mat", &holder);
cv::cvStartWriteRawData_Base64(*fs, "rawdata", static_cast<int>(rawdata.size()), "2u3i2di");
for (int i = 0; i < 10; i++)
cv::cvWriteRawData_Base64(*fs, rawdata.data() + i * 100, 100);
cv::cvEndWriteRawData_Base64(*fs);
fs.release();
}
{ /* read */
cv::FileStorage fs(file_name, cv::FileStorage::READ);
/* mat */
fs["empty_2d_mat"] >> _em_in;
fs["normal_2d_mat"] >> _2d_in;
fs["normal_nd_mat"] >> _nd_in;
/* raw data */
std::vector<data_t>(1000).swap(rawdata);
cvReadRawData(*fs, fs["rawdata"].node, rawdata.data(), "2u3i2di");
fs.release();
}
for (int i = 0; i < 1000; i++) {
// TODO: Solve this bug in `cvReadRawData`
//EXPECT_EQ(rawdata[i].u1, 1);
//EXPECT_EQ(rawdata[i].u2, 2);
//EXPECT_EQ(rawdata[i].i1, 1);
//EXPECT_EQ(rawdata[i].i2, 2);
//EXPECT_EQ(rawdata[i].i3, 3);
//EXPECT_EQ(rawdata[i].d1, 0.1);
//EXPECT_EQ(rawdata[i].d2, 0.2);
//EXPECT_EQ(rawdata[i].i4, i);
}
EXPECT_EQ(_em_in.rows , _em_out.rows);
EXPECT_EQ(_em_in.cols , _em_out.cols);
EXPECT_EQ(_em_in.dims , _em_out.dims);
EXPECT_EQ(_em_in.depth(), _em_out.depth());
EXPECT_TRUE(_em_in.empty());
EXPECT_EQ(_2d_in.rows , _2d_in.rows);
EXPECT_EQ(_2d_in.cols , _2d_in.cols);
EXPECT_EQ(_2d_in.dims , _2d_in.dims);
EXPECT_EQ(_2d_in.depth(), _2d_in.depth());
for(int i = 0; i < _2d_in.rows; ++i)
for (int j = 0; j < _2d_in.cols; ++j)
EXPECT_EQ(_2d_in.at<cv::Vec3b>(i, j), _2d_out.at<cv::Vec3b>(i, j));
EXPECT_EQ(_nd_in.rows , _nd_in.rows);
EXPECT_EQ(_nd_in.cols , _nd_in.cols);
EXPECT_EQ(_nd_in.dims , _nd_in.dims);
EXPECT_EQ(_nd_in.depth(), _nd_in.depth());
EXPECT_EQ(cv::countNonZero(cv::mean(_nd_in != _nd_out)), 0);
}
catch(...)
{
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
}
}
};
TEST(Core_InputOutput, filestorage_yml_base64)
{
CV_Base64IOTest test("base64_test_tmp_file.yml"); test.safe_run();
}
TEST(Core_InputOutput, filestorage_xml_base64)
{
CV_Base64IOTest test("base64_test_tmp_file.xml"); test.safe_run();
}
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