forked from OSSInnovation/mindspore
!6076 [Data]reame the lite of minddata tar name
Merge pull request !6076 from xulei/lite_test0905
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commit
461eeaf70d
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@ -208,6 +208,9 @@ static void ResizeBilinear1C(const unsigned char *src, int src_width, int src_he
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}
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bool ResizeBilinear(const LiteMat &src, LiteMat &dst, int dst_w, int dst_h) {
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if (dst_h <= 0 || dst_w <= 0) {
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return false;
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}
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if (src.data_type_ != LDataType::UINT8) {
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return false;
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}
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@ -269,6 +272,9 @@ static bool ConvertRGBAToGRAY(const unsigned char *data, LDataType data_type, in
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}
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bool InitFromPixel(const unsigned char *data, LPixelType pixel_type, LDataType data_type, int w, int h, LiteMat &m) {
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if (w <= 0 || h <= 0) {
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return false;
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}
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if (pixel_type == LPixelType::RGBA2BGR) {
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return ConvertRGBAToBGR(data, data_type, w, h, m);
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} else if (pixel_type == LPixelType::RGBA2GRAY) {
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@ -314,7 +320,10 @@ static void CropInternal(const LiteMat &src, LiteMat &dst, int x, int y, int w,
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}
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bool Crop(const LiteMat &src, LiteMat &dst, int x, int y, int w, int h) {
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if (y < 0 || y + h > src.height_ || x < 0 || x + w > src.width_) {
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if (x <= 0 || y <= 0 || w <= 0 || h <= 0) {
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return false;
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}
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if (y + h > src.height_ || x + w > src.width_) {
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return false;
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}
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@ -371,9 +380,9 @@ bool SubStractMeanNormalize(const LiteMat &src, LiteMat &dst, float *mean, float
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}
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template <typename T>
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static void PaddWithConstant(const LiteMat &src, LiteMat &dst, const int top, const int bottom, const int left,
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const int right, const PaddBorderType pad_type, uint8_t fill_b_or_gray, uint8_t fill_g,
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uint8_t fill_r) {
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static void PadWithConstant(const LiteMat &src, LiteMat &dst, const int top, const int bottom, const int left,
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const int right, const PaddBorderType pad_type, uint8_t fill_b_or_gray, uint8_t fill_g,
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uint8_t fill_r) {
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dst.Init(src.width_ + left + right, src.height_ + top + bottom, src.channel_, src.data_type_);
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const T *src_start_p = src;
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T *dst_start_p = dst;
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@ -444,12 +453,15 @@ static void PaddWithConstant(const LiteMat &src, LiteMat &dst, const int top, co
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}
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}
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bool Padd(const LiteMat &src, LiteMat &dst, int top, int bottom, int left, int right, PaddBorderType pad_type,
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uint8_t fill_b_or_gray, uint8_t fill_g, uint8_t fill_r) {
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bool Pad(const LiteMat &src, LiteMat &dst, int top, int bottom, int left, int right, PaddBorderType pad_type,
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uint8_t fill_b_or_gray, uint8_t fill_g, uint8_t fill_r) {
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if (top <= 0 || bottom <= 0 || left <= 0 || right <= 0) {
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return false;
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}
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if (pad_type == PADD_BORDER_CONSTANT && src.data_type_ == LDataType::FLOAT32) {
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PaddWithConstant<float>(src, dst, top, bottom, left, right, pad_type, fill_b_or_gray, fill_g, fill_r);
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PadWithConstant<float>(src, dst, top, bottom, left, right, pad_type, fill_b_or_gray, fill_g, fill_r);
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} else if (pad_type == PADD_BORDER_CONSTANT && src.data_type_ == LDataType::UINT8) {
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PaddWithConstant<uint8_t>(src, dst, top, bottom, left, right, pad_type, fill_b_or_gray, fill_g, fill_r);
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PadWithConstant<uint8_t>(src, dst, top, bottom, left, right, pad_type, fill_b_or_gray, fill_g, fill_r);
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} else {
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return false;
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}
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@ -66,8 +66,8 @@ bool Crop(const LiteMat &src, LiteMat &dst, int x, int y, int w, int h);
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bool SubStractMeanNormalize(const LiteMat &src, LiteMat &dst, float *mean, float *norm);
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/// \brief padd image, the channel supports is 3 and 1
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bool Padd(const LiteMat &src, LiteMat &dst, int top, int bottom, int left, int right, PaddBorderType pad_type,
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uint8_t fill_b_or_gray, uint8_t fill_g, uint8_t fill_r);
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bool Pad(const LiteMat &src, LiteMat &dst, int top, int bottom, int left, int right, PaddBorderType pad_type,
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uint8_t fill_b_or_gray, uint8_t fill_g, uint8_t fill_r);
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/// \brief Apply affine transformation for 1 channel image
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void Affine(LiteMat &src, LiteMat &out_img, double M[6], std::vector<size_t> dsize, UINT8_C1 borderValue);
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@ -210,8 +210,15 @@ if (BUILD_MINDDATA STREQUAL "lite" OR BUILD_MINDDATA STREQUAL "full")
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endif ()
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if (BUILD_MINDDATA STREQUAL "lite_cv")
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# TODO: add sentencepiece dependency
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#include(${TOP_DIR}/cmake/external_libs/sentencepiece.cmake)
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if (PLATFORM_ARM64)
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set(COMPONENT_NAME minddata-arm64-${PROCESS_UNIT})
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elseif (PLATFORM_ARM32)
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set(COMPONENT_NAME minddata-arm32-${PROCESS_UNIT})
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elseif (WIN32)
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set(COMPONENT_NAME minddata-win-${PROCESS_UNIT})
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else ()
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set(COMPONENT_NAME minddata-ubuntu-${PROCESS_UNIT})
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endif()
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add_compile_definitions(ENABLE_ANDROID)
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add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/minddata)
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endif ()
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@ -51,7 +51,7 @@ LiteMat Lite3CImageProcess(LiteMat &lite_mat_bgr) {
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MS_LOG(ERROR) << "ResizeBilinear error";
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}
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LiteMat lite_mat_convert_float;
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ret = ConvertTo(lite_mat_resize, lite_mat_convert_float, 1.0 );
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ret = ConvertTo(lite_mat_resize, lite_mat_convert_float, 1.0);
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if (!ret) {
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MS_LOG(ERROR) << "ConvertTo error";
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}
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@ -222,7 +222,7 @@ TEST_F(MindDataImageProcess, TestPadd) {
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ResizeBilinear(lite_mat_bgr, lite_mat_resize, 256, 256);
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LiteMat makeborder;
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Padd(lite_mat_resize, makeborder, top, bottom, left, right, PaddBorderType::PADD_BORDER_CONSTANT, 255, 255, 255);
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Pad(lite_mat_resize, makeborder, top, bottom, left, right, PaddBorderType::PADD_BORDER_CONSTANT, 255, 255, 255);
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cv::Mat dst_image(256 + top + bottom, 256 + left + right, CV_8UC3, makeborder.data_ptr_);
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@ -245,7 +245,7 @@ TEST_F(MindDataImageProcess, TestGetDefaultBoxes) {
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int cols = 4;
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std::vector<double> benchmark_boxes(rows * cols);
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std::ifstream in(benchmark, std::ios::in | std::ios::binary);
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in.read(reinterpret_cast<char*>(benchmark_boxes.data()), benchmark_boxes.size() * sizeof(double));
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in.read(reinterpret_cast<char *>(benchmark_boxes.data()), benchmark_boxes.size() * sizeof(double));
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in.close();
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std::vector<std::vector<float>> default_boxes = GetDefaultBoxes(config);
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@ -284,13 +284,13 @@ TEST_F(MindDataImageProcess, TestAffine) {
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for (size_t i = 0; i < rows; i++) {
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for (size_t j = 0; j < cols; j++) {
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if (i == 2 && j == 2) {
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static_cast<UINT8_C1*>(src.data_ptr_)[i * cols + j] = 3;
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static_cast<UINT8_C1 *>(src.data_ptr_)[i * cols + j] = 3;
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} else if (i == 2) {
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static_cast<UINT8_C1*>(src.data_ptr_)[i * cols + j] = 2;
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static_cast<UINT8_C1 *>(src.data_ptr_)[i * cols + j] = 2;
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} else if (j == 2) {
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static_cast<UINT8_C1*>(src.data_ptr_)[i * cols + j] = 1;
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static_cast<UINT8_C1 *>(src.data_ptr_)[i * cols + j] = 1;
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} else {
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static_cast<UINT8_C1*>(src.data_ptr_)[i * cols + j] = 0;
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static_cast<UINT8_C1 *>(src.data_ptr_)[i * cols + j] = 0;
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}
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}
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}
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@ -305,13 +305,13 @@ TEST_F(MindDataImageProcess, TestAffine) {
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for (size_t i = 0; i < rows; i++) {
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for (size_t j = 0; j < cols; j++) {
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if (i == 2 && j == 2) {
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static_cast<UINT8_C1*>(expect.data_ptr_)[i * cols + j] = 3;
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static_cast<UINT8_C1 *>(expect.data_ptr_)[i * cols + j] = 3;
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} else if (i == 2) {
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static_cast<UINT8_C1*>(expect.data_ptr_)[i * cols + j] = 1;
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static_cast<UINT8_C1 *>(expect.data_ptr_)[i * cols + j] = 1;
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} else if (j == 2) {
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static_cast<UINT8_C1*>(expect.data_ptr_)[i * cols + j] = 2;
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static_cast<UINT8_C1 *>(expect.data_ptr_)[i * cols + j] = 2;
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} else {
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static_cast<UINT8_C1*>(expect.data_ptr_)[i * cols + j] = 0;
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static_cast<UINT8_C1 *>(expect.data_ptr_)[i * cols + j] = 0;
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}
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}
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}
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@ -329,8 +329,8 @@ TEST_F(MindDataImageProcess, TestAffine) {
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for (size_t i = 0; i < rows; i++) {
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for (size_t j = 0; j < cols; j++) {
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EXPECT_EQ(static_cast<UINT8_C1*>(expect.data_ptr_)[i * cols + j].c1,
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static_cast<UINT8_C1*>(dst.data_ptr_)[i * cols + j].c1);
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EXPECT_EQ(static_cast<UINT8_C1 *>(expect.data_ptr_)[i * cols + j].c1,
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static_cast<UINT8_C1 *>(dst.data_ptr_)[i * cols + j].c1);
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}
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}
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}
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