Export .so & header files of lite_cv when MSLITE_ENABLE_TRAIN=on

cmake/package_lite.cmake

@@ -23,7 +23,9 @@ set(MINDSPORE_LITE_TRAIN_LIB_NAME libmindspore-lite-train)
 set(BENCHMARK_TRAIN_NAME benchmark_train)
 set(BENCHMARK_TRAIN_ROOT_DIR ${RUNTIME_PKG_NAME}/tools/benchmark_train)
 
+# full mode will also package the files of lite_cv mode.
 if(BUILD_MINDDATA STREQUAL "full")
+    # full header files
     install(FILES
             ${TOP_DIR}/mindspore/ccsrc/minddata/dataset/include/dataset/constants.h
             ${TOP_DIR}/mindspore/ccsrc/minddata/dataset/include/dataset/data_helper.h
@@ -65,6 +67,10 @@ if(BUILD_MINDDATA STREQUAL "full")
         install(FILES ${TOP_DIR}/mindspore/lite/build/securec/src/libsecurec.a
                 DESTINATION ${SECUREC_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME})
     endif()
+
+    # lite_cv header files
+    install(DIRECTORY ${TOP_DIR}/mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv
+            DESTINATION ${MIND_DATA_INC_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME} FILES_MATCHING PATTERN "*.h")
 endif()
 
 if(BUILD_MINDDATA STREQUAL "wrapper")

mindspore/lite/minddata/example/CMakeLists.txt

@@ -5,8 +5,9 @@ set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Werror -Wall -fPIC -std=c++17")
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-sign-compare")
 
 set(MS_DIR "${CMAKE_CURRENT_SOURCE_DIR}/mindspore-lite-1.2.0-linux-x64/runtime")
+set(LITECV_DIR "${CMAKE_CURRENT_SOURCE_DIR}/mindspore-lite-1.2.0-linux-x64/runtime/include/dataset")
 
-include_directories(${MS_DIR})
+include_directories(${MS_DIR} ${LITECV_DIR})
 
 
 add_executable(testlenet
@@ -29,4 +30,14 @@ target_link_libraries(testresize
         ${MS_DIR}/third_party/libjpeg-turbo/lib/libjpeg.so.62
         ${MS_DIR}/third_party/libjpeg-turbo/lib/libturbojpeg.so.0
         ${MS_DIR}/lib/libmindspore-lite.so
+        pthread)
+
+add_executable(testlitecv
+        ${CMAKE_CURRENT_SOURCE_DIR}/testlitecv.cpp
+        )
+
+target_link_libraries(testlitecv
+        ${MS_DIR}/lib/libminddata-lite.so
+        ${MS_DIR}/third_party/libjpeg-turbo/lib/libjpeg.so.62
+        ${MS_DIR}/third_party/libjpeg-turbo/lib/libturbojpeg.so.0
         pthread)

mindspore/lite/minddata/example/testlitecv.cpp

@@ -0,0 +1,73 @@
+/**
+ * Copyright 2021  Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include <sys/stat.h>
+#include <unistd.h>
+#include <fstream>
+#include <iostream>
+#include <map>
+#include <memory>
+#include <set>
+#include <string>
+#include <unordered_map>
+#include <unordered_set>
+#include <utility>
+#include <vector>
+
+#include "include/api/types.h"
+#include "include/dataset/lite_cv/lite_mat.h"
+#include "include/dataset/lite_cv/image_process.h"
+#include "include/dataset/vision_lite.h"
+#include "include/dataset/execute.h"
+
+using mindspore::dataset::Execute;
+using mindspore::dataset::LDataType;
+using mindspore::dataset::LiteMat;
+using mindspore::dataset::PaddBorderType;
+using mindspore::dataset::vision::Decode;
+
+int main(int argc, char **argv) {
+  std::ifstream ifs("test_image.jpg");
+
+  if (!ifs.is_open() || !ifs.good()) {
+    std::cout << "fail to load image, check image path" << std::endl;
+    return -1;
+  }
+
+  ifs.seekg(0, std::ios::end);
+  size_t size = ifs.tellg();
+  mindspore::MSTensor image("file", mindspore::DataType::kNumberTypeUInt8, {static_cast<int64_t>(size)}, nullptr, size);
+
+  ifs.seekg(0, std::ios::beg);
+  ifs.read(reinterpret_cast<char *>(image.MutableData()), size);
+  ifs.close();
+
+  auto decode = Decode();
+  auto executor = Execute(decode);
+  executor(image, &image);
+
+  LiteMat lite_mat_rgb(image.Shape()[1], image.Shape()[0], image.Shape()[2], const_cast<void *>(image.Data().get()),
+                       LDataType::UINT8);
+  std::cout << "lite_mat_rgb: height=" << lite_mat_rgb.height_ << ", width=" << lite_mat_rgb.width_ << std::endl;
+  LiteMat lite_mat_resize;
+
+  ResizeBilinear(lite_mat_rgb, lite_mat_resize, 256, 256);
+  std::cout << "lite_mat_resize: height=" << lite_mat_resize.height_ << ", width=" << lite_mat_resize.width_
+            << std::endl;
+
+  LiteMat lite_mat_pad;
+  Pad(lite_mat_resize, lite_mat_pad, 30, 30, 10, 10, PaddBorderType::PADD_BORDER_CONSTANT, 255, 255, 255);
+  std::cout << "lite_mat_pad: height=" << lite_mat_pad.height_ << ", width=" << lite_mat_pad.width_ << std::endl;
+}