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OpenVINO Integration into EasyOCR C++ #1

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45f61ac
Initial commit
avbelova Oct 9, 2024
78e38c1
Update CMakeLists.txt
avbelova Oct 9, 2024
afc2090
Fix model name
avbelova Oct 10, 2024
1be852f
Update README.md
avbelova Oct 10, 2024
313c377
Update README.md
avbelova Oct 10, 2024
9fd8a37
Update CMakeLists.txt
avbelova Oct 10, 2024
0ca7c7b
broadens models support
avbelova Oct 11, 2024
06f0bcc
Add characters file for a latin model
avbelova Oct 14, 2024
23443a8
Add a latin recognition model
avbelova Oct 14, 2024
0754743
Update latin_char.txt
avbelova Oct 15, 2024
48335a2
Update README.md
avbelova Oct 15, 2024
bdf0e47
Update README.md
avbelova Oct 15, 2024
bd0780d
Update README.md
avbelova Oct 15, 2024
ce8dca5
Create LICENSE
avbelova Nov 20, 2024
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27 changes: 0 additions & 27 deletions .devcontainer.json
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62 changes: 25 additions & 37 deletions CMakeLists.txt
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cmake_minimum_required(VERSION 3.20 FATAL_ERROR)
project(torchTest)
cmake_minimum_required(VERSION 3.14)
project(openvinoTest)

# Set the C++ standard
set(CMAKE_CXX_STANDARD 20)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_STANDARD_REQUIRED True)

# Add libtorch folder if built from dockerfile
if (DEFINED ENV{build_from_docker_file})
get_filename_component(PARENT_DIR ${CMAKE_CURRENT_SOURCE_DIR} DIRECTORY)
list(APPEND CMAKE_PREFIX_PATH ${PARENT_DIR}/thirdparty/libtorch)
endif()
find_package(Torch REQUIRED)
# Make openvinoTest a startup project in MSVS
set_property(DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} PROPERTY VS_STARTUP_PROJECT openvinoTest)

# Find OPENCV automatically if built from dockerfile
if (DEFINED ENV{build_from_docker_file})
find_package(OpenCV 4 REQUIRED)
find_package(Threads REQUIRED)
# Else force the path to opencv here if executed on Windows
else ()
find_package(OpenCV REQUIRED PATHS C:/Users/sasso/Downloads/new/opencv/build )
endif()
# Find OpenVINO package (use the latest version's simplified package find)
find_package(OpenVINO REQUIRED COMPONENTS Runtime) # Load only the inference runtime component
set(OpenCV_DIR "C:/OpenCV/opencv/build")
find_package(OpenCV REQUIRED)

# Include OpenVINO and OpenCV directories
include_directories(${CMAKE_SOURCE_DIR}/include ${OpenVINO_INCLUDE_DIRS} ${OpenCV_INCLUDE_DIRS})

set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
# Get all character text files from the 'lang' directory
file(GLOB LANG_FILES "lang/*")

file(GLOB MODELS "models/*")


# Set the source file path
set(SOURCE_FILE_PATH "test.jpg")

Expand All @@ -48,23 +43,16 @@ foreach(FILE_PATH ${MODELS})
file(COPY ${FILE_PATH} DESTINATION ${CMAKE_CURRENT_BINARY_DIR})
endforeach()

add_executable(torchTest torchExample.cpp
src/TorchModel.cpp
src/CRAFT.cpp
src/CRNN.cpp)
target_include_directories(torchTest PUBLIC "include/")
target_link_libraries(torchTest ${OpenCV_LIBS} ${TORCH_LIBRARIES} ${MKL})
set_property(TARGET torchTest PROPERTY CXX_STANDARD 17)
# Add the executable for your application
add_executable(${PROJECT_NAME} OpenvinoExample.cpp
src/OpenvinoModel.cpp
src/CRAFT.cpp
src/CRNN.cpp)

# Link OpenVINO and OpenCV libraries to your target
target_link_libraries(${PROJECT_NAME} openvino::runtime ${OpenCV_LIBS})

# The following code block is suggested to be used on Windows.
# According to https://github.com/pytorch/pytorch/issues/25457,
# the DLLs need to be copied to avoid memory errors.
if (MSVC)
set_property(DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} PROPERTY VS_STARTUP_PROJECT torchTest)
file(GLOB TORCH_DLLS "${TORCH_INSTALL_PREFIX}/lib/*.dll")
add_custom_command(TARGET torchTest
POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy_if_different
${TORCH_DLLS}
$<TARGET_FILE_DIR:torchTest>)
endif (MSVC)
# Print diagnostic information (Optional, useful for troubleshooting)
message(STATUS "OpenVINO include dirs: ${OpenVINO_INCLUDE_DIRS}")
message(STATUS "OpenCV include dirs: ${OpenCV_INCLUDE_DIRS}")
message(STATUS "OpenCV libraries: ${OpenCV_LIBS}")
18 changes: 0 additions & 18 deletions Dockerfile
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201 changes: 201 additions & 0 deletions LICENSE
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Apache License
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52 changes: 52 additions & 0 deletions OpenvinoExample.cpp
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#include "OpenVINOModel.h"
#include "CRAFT.h"
#include "CRNN.h"
#include <opencv2/opencv.hpp>
#include <iostream>

int main()
{
CraftModel detection;
CRNNModel recognition;

std::string det = "CRAFT-detector.xml";
std::string rec = "recognition_model.xml";
std::string filePath = "test.jpg";
std::string device = "CPU";

auto check_det = detection.loadModel(det, device);
auto check_rec = recognition.loadModel(rec, device);

cv::Mat matInput = detection.loadMat(filePath, false, true).clone();
HeatMapRatio processed = detection.resizeAspect(matInput);
cv::Mat clone = processed.img.clone();
cv::Mat grey = processed.img.clone();
grey.convertTo(grey, CV_8UC1);
cv::cvtColor(grey, grey, cv::COLOR_BGR2GRAY);
clone.convertTo(clone, CV_8UC3);
ov::Tensor input = detection.preProcess(processed.img.clone());
auto ss = std::chrono::high_resolution_clock::now();
std::vector<BoundingBox> dets = detection.runDetector(input, true);
std::vector<TextResult> results = recognition.recognize(dets, grey);
auto ee = std::chrono::high_resolution_clock::now();
auto difff = ee - ss;
int count = 0;
for (auto x : dets)
{
rectangle(clone, x.topLeft, x.bottomRight, cv::Scalar(0, 255, 0));
putText(clone, std::to_string(count), (x.bottomRight + x.topLeft) / 2, cv::FONT_HERSHEY_COMPLEX, .6, cv::Scalar(100, 0, 255));
count++;

}
for (auto& result : results)
{
std::cout << "LOCATION: " << result.coords.topLeft << " " << result.coords.bottomRight << std::endl;
std::cout << "TEXT: " << result.text << std::endl;
std::cout << "CONFIDENCE " << result.confidence << std::endl;
std::cout << "################################################" << std::endl;
}
std::cout << "TOTAL INFERENCE TIME " << std::chrono::duration <double, std::milli>(difff).count() << " ms" << std::endl;

return 0;
}

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