OpenCV build switched off by default [2022/1.1] (#12358)
* OCV build off by default * OCV on in the Linux Azure pipeline * Copy of OCV in the linux pipeline
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c62251c89a
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39aba80957
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@ -110,7 +110,6 @@ jobs:
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-DANDROID_ABI=$(ANDROID_ABI_CONFIG)
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-DANDROID_STL=c++_shared
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-DANDROID_PLATFORM=$(ANDROID_SDK_VERSION)
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-DENABLE_OPENCV=OFF
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-DENABLE_TESTS=ON
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-DENABLE_SAMPLES=ON
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-DENABLE_INTEL_MYRIAD=OFF
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@ -157,6 +157,7 @@ jobs:
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-DENABLE_FASTER_BUILD=ON
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-DENABLE_STRICT_DEPENDENCIES=OFF
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-DENABLE_REQUIREMENTS_INSTALL=OFF
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-DENABLE_OPENCV=ON
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-DIE_EXTRA_MODULES=$(OPENVINO_CONTRIB_REPO_DIR)/modules
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-DCMAKE_CXX_COMPILER_LAUNCHER=ccache
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-DCMAKE_C_COMPILER_LAUNCHER=ccache
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@ -127,7 +127,6 @@ jobs:
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-GNinja
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-DVERBOSE_BUILD=ON
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-DOpenCV_DIR=$(INSTALL_OPENCV)/cmake
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-DENABLE_OPENCV=OFF
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-DPYTHON_INCLUDE_DIRS=$(INSTALL_PYTHON)/include/python3.8
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-DPYTHON_LIBRARY=$(INSTALL_PYTHON)/lib/libpython3.8.so
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-DENABLE_PYTHON=ON
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@ -95,7 +95,6 @@ jobs:
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-DPYTHON_EXECUTABLE=/usr/bin/python3.8
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-DENABLE_INTEL_MYRIAD_COMMON=OFF
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-DENABLE_INTEL_GNA=OFF
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-DENABLE_OPENCV=OFF
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-DENABLE_CPPLINT=OFF
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-DENABLE_TESTS=OFF
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-DENABLE_INTEL_CPU=ON
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@ -145,7 +145,6 @@ jobs:
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set -e
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mkdir -p $(INSTALL_DIR)/opencv/
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cmake -DCMAKE_INSTALL_PREFIX=$(INSTALL_DIR) -DCOMPONENT=tests -P cmake_install.cmake
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cp -R $(REPO_DIR)/temp/opencv_4.5.2_osx/opencv/* $(INSTALL_DIR)/opencv/
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workingDirectory: $(BUILD_DIR)
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displayName: 'Install tests'
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@ -169,7 +169,7 @@ jobs:
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workingDirectory: $(BUILD_SAMPLES_TESTS_DIR)
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displayName: 'Install Samples Tests'
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- script: $(CMAKE_CMD) -DCMAKE_INSTALL_PREFIX=$(INSTALL_DIR) -DCOMPONENT=tests -P cmake_install.cmake && xcopy $(REPO_DIR)\temp\opencv_4.5.2\opencv\* $(INSTALL_DIR)\opencv\ /e /h /y
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- script: $(CMAKE_CMD) -DCMAKE_INSTALL_PREFIX=$(INSTALL_DIR) -DCOMPONENT=tests -P cmake_install.cmake
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workingDirectory: $(BUILD_DIR)
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displayName: 'Install tests'
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@ -59,7 +59,6 @@ RUN cmake .. \
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-DCMAKE_BUILD_TYPE=${BUILD_TYPE} \
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-DENABLE_INTEL_MYRIAD_COMMON=OFF \
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-DENABLE_INTEL_GNA=OFF \
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-DENABLE_OPENCV=OFF \
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-DENABLE_CPPLINT=OFF \
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-DENABLE_NCC_STYLE=OFF \
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-DENABLE_TESTS=OFF \
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@ -126,7 +126,7 @@ ie_dependent_option (ENABLE_FUNCTIONAL_TESTS "functional tests" ON "ENABLE_TESTS
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ie_dependent_option (ENABLE_SAMPLES "console samples are part of inference engine package" ON "NOT MINGW" OFF)
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ie_option (ENABLE_OPENCV "enables OpenCV" ON)
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ie_option (ENABLE_OPENCV "enables OpenCV" OFF)
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ie_option (ENABLE_V7_SERIALIZE "enables serialization to IR v7" OFF)
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@ -4,17 +4,9 @@
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set(TARGET_NAME "InferenceEngineCAPITests")
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# Find OpenCV components if exist
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find_package(OpenCV COMPONENTS core imgproc imgcodecs QUIET)
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if(NOT OpenCV_FOUND)
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message(WARNING "OPENCV is disabled or not found, ${TARGET_NAME} is disabled")
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return()
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endif()
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add_executable(${TARGET_NAME} ie_c_api_test.cpp test_model_repo.hpp)
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target_link_libraries(${TARGET_NAME} PRIVATE openvino_c ${OpenCV_LIBRARIES}
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commonTestUtils gtest_main)
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target_link_libraries(${TARGET_NAME} PRIVATE openvino_c commonTestUtils gtest_main)
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target_compile_definitions(${TARGET_NAME}
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PRIVATE
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@ -5,7 +5,6 @@
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#include <gtest/gtest.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <opencv2/opencv.hpp>
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#include <condition_variable>
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#include <mutex>
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#include <c_api/ie_c_api.h>
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@ -15,12 +14,10 @@
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std::string xml_std = TestDataHelpers::generate_model_path("test_model", "test_model_fp32.xml"),
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bin_std = TestDataHelpers::generate_model_path("test_model", "test_model_fp32.bin"),
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input_image_std = TestDataHelpers::generate_image_path("224x224", "dog.bmp"),
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input_image_nv12_std = TestDataHelpers::generate_image_path("224x224", "dog6.yuv");
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const char* xml = xml_std.c_str();
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const char* bin = bin_std.c_str();
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const char* input_image = input_image_std.c_str();
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const char* input_image_nv12 = input_image_nv12_std.c_str();
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std::mutex m;
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@ -58,29 +55,6 @@ size_t read_image_from_file(const char* img_path, unsigned char *img_data, size_
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return read_size;
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}
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void Mat2Blob(const cv::Mat& img, ie_blob_t *blob)
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{
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dimensions_t dimenison;
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IE_EXPECT_OK(ie_blob_get_dims(blob, &dimenison));
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size_t channels = dimenison.dims[1];
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size_t width = dimenison.dims[3];
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size_t height = dimenison.dims[2];
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ie_blob_buffer_t buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(blob, &buffer));
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uint8_t *blob_data = (uint8_t *)(buffer.buffer);
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cv::Mat resized_image;
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cv::resize(img, resized_image, cv::Size(width, height));
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for (size_t c = 0; c < channels; c++) {
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for (size_t h = 0; h < height; h++) {
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for (size_t w = 0; w < width; w++) {
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blob_data[c * width * height + h * width + w] =
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resized_image.at<cv::Vec3b>(h, w)[c];
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}
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}
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}
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}
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size_t find_device(ie_available_devices_t avai_devices, const char *device_name) {
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for (size_t i = 0; i < avai_devices.num_devices; ++i) {
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if (strstr(avai_devices.devices[i], device_name))
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@ -363,7 +337,7 @@ TEST(ie_core_import_network_from_memory, importNetworkFromMem) {
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std::string export_path = TestDataHelpers::generate_model_path("test_model", "exported_model.blob");
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IE_EXPECT_OK(ie_core_export_network(exe_network, export_path.c_str()));
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std::vector<uchar> buffer(content_from_file(export_path.c_str(), true));
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std::vector<uint8_t> buffer(content_from_file(export_path.c_str(), true));
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ie_executable_network_t *network = nullptr;
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IE_EXPECT_OK(ie_core_import_network_from_memory(core, buffer.data(), buffer.size(), "HETERO:CPU", nullptr, &network));
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@ -1189,9 +1163,14 @@ TEST(ie_infer_request_infer, infer) {
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ie_blob_t *blob = nullptr;
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IE_EXPECT_OK(ie_infer_request_get_blob(infer_request, "data", &blob));
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dimensions_t dims;
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IE_EXPECT_OK(ie_blob_get_dims(blob, &dims));
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const size_t blob_elems_count = dims.dims[0] * dims.dims[1] * dims.dims[2] * dims.dims[3];
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cv::Mat image = cv::imread(input_image);
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Mat2Blob(image, blob);
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ie_blob_buffer_t buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(blob, &buffer));
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auto* blob_internal_buffer = (uint8_t*)buffer.buffer;
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std::fill(blob_internal_buffer, blob_internal_buffer + blob_elems_count, uint8_t{0});
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IE_EXPECT_OK(ie_infer_request_infer(infer_request));
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@ -1202,9 +1181,9 @@ TEST(ie_infer_request_infer, infer) {
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EXPECT_EQ(dim_res.ranks, 2);
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EXPECT_EQ(dim_res.dims[1], 10);
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ie_blob_buffer_t buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(output_blob, &buffer));
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float *output_data = (float *)(buffer.buffer);
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ie_blob_buffer_t out_buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(output_blob, &out_buffer));
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float *output_data = (float *)(out_buffer.buffer);
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EXPECT_NEAR(output_data[9], 0.f, 1.e-5);
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ie_blob_free(&output_blob);
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@ -1239,9 +1218,14 @@ TEST(ie_infer_request_infer_async, inferAsyncWaitFinish) {
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ie_blob_t *blob = nullptr;
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IE_EXPECT_OK(ie_infer_request_get_blob(infer_request, "data", &blob));
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dimensions_t dims;
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IE_EXPECT_OK(ie_blob_get_dims(blob, &dims));
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const size_t blob_elems_count = dims.dims[0] * dims.dims[1] * dims.dims[2] * dims.dims[3];
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cv::Mat image = cv::imread(input_image);
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Mat2Blob(image, blob);
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ie_blob_buffer_t buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(blob, &buffer));
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auto* blob_internal_buffer = (uint8_t*)buffer.buffer;
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std::fill(blob_internal_buffer, blob_internal_buffer + blob_elems_count, uint8_t{0});
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IE_EXPECT_OK(ie_infer_request_infer_async(infer_request));
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@ -1252,9 +1236,9 @@ TEST(ie_infer_request_infer_async, inferAsyncWaitFinish) {
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IE_EXPECT_OK(ie_infer_request_get_blob(infer_request, "fc_out", &output_blob));
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EXPECT_NE(nullptr, output_blob);
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ie_blob_buffer_t buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(output_blob, &buffer));
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float *output_data = (float *)(buffer.buffer);
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ie_blob_buffer_t out_buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(output_blob, &out_buffer));
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float *output_data = (float *)(out_buffer.buffer);
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EXPECT_NEAR(output_data[9], 0.f, 1.e-5);
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}
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@ -1291,9 +1275,14 @@ TEST(ie_infer_request_infer_async, inferAsyncWaitTime) {
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IE_EXPECT_OK(ie_infer_request_get_blob(infer_request, "data", &blob));
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EXPECT_NE(nullptr, blob);
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dimensions_t dims;
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IE_EXPECT_OK(ie_blob_get_dims(blob, &dims));
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const size_t blob_elems_count = dims.dims[0] * dims.dims[1] * dims.dims[2] * dims.dims[3];
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cv::Mat image = cv::imread(input_image);
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Mat2Blob(image, blob);
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ie_blob_buffer_t buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(blob, &buffer));
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auto* blob_internal_buffer = (uint8_t*)buffer.buffer;
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std::fill(blob_internal_buffer, blob_internal_buffer + blob_elems_count, uint8_t{0});
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IE_EXPECT_OK(ie_infer_request_infer_async(infer_request));
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@ -1307,9 +1296,9 @@ TEST(ie_infer_request_infer_async, inferAsyncWaitTime) {
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IE_EXPECT_OK(ie_infer_request_get_blob(infer_request, "fc_out", &output_blob));
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ie_blob_buffer_t buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(output_blob, &buffer));
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float *output_data = (float *)(buffer.buffer);
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ie_blob_buffer_t out_buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(output_blob, &out_buffer));
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float *output_data = (float *)(out_buffer.buffer);
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EXPECT_NEAR(output_data[9], 0.f, 1.e-5);
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}
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@ -1654,8 +1643,14 @@ TEST(ie_infer_set_completion_callback, setCallback) {
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ie_blob_t *blob = nullptr;
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IE_EXPECT_OK(ie_infer_request_get_blob(infer_request, "data", &blob));
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cv::Mat image = cv::imread(input_image);
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Mat2Blob(image, blob);
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dimensions_t dims;
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IE_EXPECT_OK(ie_blob_get_dims(blob, &dims));
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const size_t blob_elems_count = dims.dims[0] * dims.dims[1] * dims.dims[2] * dims.dims[3];
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ie_blob_buffer_t buffer;
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IE_EXPECT_OK(ie_blob_get_buffer(blob, &buffer));
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auto* blob_internal_buffer = (uint8_t*)buffer.buffer;
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std::fill(blob_internal_buffer, blob_internal_buffer + blob_elems_count, uint8_t{0});
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ie_complete_call_back_t callback;
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callback.completeCallBackFunc = completion_callback;
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@ -45,7 +45,6 @@ set the mentioned flags to `ON`. Note the `CMAKE_INSTALL_PREFIX`, which defaults
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cmake .. \
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-DENABLE_INTEL_GPU=OFF \
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-DENABLE_OPENCV=OFF \
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-DENABLE_INTEL_MYRIAD_COMMON=OFF \
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-DENABLE_PYTHON=ON \
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-DENABLE_OV_ONNX_FRONTEND=ON \
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@ -108,7 +107,6 @@ cmake .. ^
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-DCMAKE_BUILD_TYPE=Release ^
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-DCMAKE_INSTALL_PREFIX="%OPENVINO_BASEDIR%/openvino_dist" ^
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-DENABLE_INTEL_GPU=OFF ^
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-DENABLE_OPENCV=OFF ^
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-DENABLE_INTEL_MYRIAD_COMMON=OFF ^
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-DENABLE_OV_ONNX_FRONTEND=ON ^
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-DENABLE_PYTHON=ON ^
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