Added KinectMaskGenerator for background matting
This commit is contained in:
Родитель
6f29106f9b
Коммит
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# Prerequisites
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*.d
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# Compiled Object files
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*.slo
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*.lo
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*.o
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*.obj
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# Precompiled Headers
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*.gch
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*.pch
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# Compiled Dynamic libraries
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*.so
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*.dylib
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*.dll
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# Fortran module files
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*.mod
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*.smod
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# Compiled Static libraries
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*.lai
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*.la
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*.a
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*.lib
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# Executables
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*.exe
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*.out
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*.app
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# Kinect Mask Generator
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build/
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output/
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*.log
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*.mkv
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# Third party
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3rdparty/opencv/
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!3rdparty/opencv-4.3.0-vc14_vc15.exe
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# Ignore everything in this directory
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*
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# Except this file
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!.gitignore
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cmake_minimum_required(VERSION 3.0)
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#Config
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set(AKPATH "C:/Program Files/Azure Kinect SDK v1.4.0")
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set(AKBTPATH "C:/Program Files/Azure Kinect Body Tracking SDK")
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set(OpenCV_DIR "./3rdparty/opencv/build")
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project(KinectMaskGenerator)
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find_package(OpenCV REQUIRED)
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# If the package has been found, several variables will
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# be set, you can find the full list with descriptions
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# in the OpenCVConfig.cmake file.
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# Print some message showing some of them
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message(STATUS "OpenCV library status:")
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message(STATUS " config: ${OpenCV_DIR}")
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message(STATUS " version: ${OpenCV_VERSION}")
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message(STATUS " libraries: ${OpenCV_LIBS}")
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message(STATUS " include path: ${OpenCV_INCLUDE_DIRS}")
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set(SOURCE main.cpp)
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add_executable(${PROJECT_NAME} ${SOURCE})
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# Link your application with OpenCV libraries
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target_link_libraries(${PROJECT_NAME} PRIVATE ${OpenCV_LIBS})
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#K4A
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find_library(AKLIB NAMES k4a HINTS ${AKPATH}/sdk/windows-desktop/amd64/release/lib)
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find_library(AKLIBREC NAMES k4arecord HINTS ${AKPATH}/sdk/windows-desktop/amd64/release/lib)
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target_include_directories(${PROJECT_NAME} PRIVATE ${AKPATH}/sdk/include)
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target_link_libraries(${PROJECT_NAME} PRIVATE ${AKLIB})
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target_link_libraries(${PROJECT_NAME} PRIVATE ${AKLIBREC})
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#K4ABT
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find_library(AKBTLIB NAMES k4abt HINTS ${AKBTPATH}/sdk/windows-desktop/amd64/release/lib)
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target_include_directories(${PROJECT_NAME} PRIVATE ${AKBTPATH}/sdk/include)
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target_link_libraries(${PROJECT_NAME} PRIVATE ${AKBTLIB})
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# Kinect Mask Generator
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Command line tool to generate body mask images from an Azure Kinect video. It also generates
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a PTS (presentation time stamp) file that can be consumed by _ffmpeg_ to create an
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alpha video.
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## Requirements
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* OpenCV 4.3.0
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* Download [OpenCV 4.3.0](https://sourceforge.net/projects/opencvlibrary/files/4.3.0/opencv-4.3.0-vc14_vc15.exe/download)
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* Install on _3rdparty/opencv_ directory
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* Add to Path `[ROOT]\3rdparty\opencv\build\x64\vc15\bin`
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* Azure Kinect SDK 1.4.0
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* [Download](https://download.microsoft.com/download/4/5/a/45aa3917-45bf-4f24-b934-5cff74df73e1/Azure%20Kinect%20SDK%201.4.0.exe) and install
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* Add to `PATH` the bin folder `C:\Program Files\Azure Kinect SDK v1.4.0\sdk\windows-desktop\amd64\release\bin`
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* Azure Kinect Body Traking SDK 1.0.1
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* [Download](https://www.microsoft.com/en-us/download/details.aspx?id=100942) and install
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* Add to `PATH` the bin folder `C:\Program Files\Azure Kinect Body Tracking SDK\sdk\windows-desktop\amd64\release\bin`
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## Build
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The project uses CMake
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## Usage
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`./build/KinectmaskGenerator.exe VIDEO_INPUT_PATH MASK_OUTPUT_PATH START DURATION [COLOR_IMG_SUFFIX]`
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* `START` and `DURATION` are specified in seconds
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* Set `DURATION` to `-1` to process the video until the end
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* If `COLOR_IMG_SUFFIX` is set, it also generates color images with the suffix provided
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#pragma comment(lib, "k4a.lib")
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#define IMG_OFFSET 0
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#include <iostream>
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#include <sys/types.h>
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#include <sys/stat.h>
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#include <k4a/k4a.h>
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#include <k4arecord/playback.h>
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#include <k4abt.h>
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#include <opencv2/opencv.hpp>
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#include <opencv2/core.hpp>
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#include <opencv2/core/utility.hpp>
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#include <opencv2/highgui.hpp>
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#include <opencv2/imgproc.hpp>
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#include <fstream>
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using namespace cv;
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struct stat info;
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#define VERIFY(result, error) \
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if (result != K4A_RESULT_SUCCEEDED) \
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{ \
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printf("%s \n - (File: %s, Function: %s, Line: %d)\n", error, __FILE__, __FUNCTION__, __LINE__); \
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exit(1); \
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}
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#define WAIT_VERIFY(result, error) \
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if (result != K4A_WAIT_RESULT_SUCCEEDED) \
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{ \
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printf("%s \n - (File: %s, Function: %s, Line: %d)\n", error, __FILE__, __FUNCTION__, __LINE__); \
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exit(1); \
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}
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static cv::Mat color_to_opencv(const k4a_image_t &im);
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static cv::Mat depth_to_opencv(const k4a_image_t &im);
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static cv::Mat index_to_opencv(const k4a_image_t &im);
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const uint64_t default_interval = 66666;
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uint64_t last_duration;
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uint64_t current_interval;
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struct SyncronizationFileWriter
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{
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std::ofstream timestampFile;
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void init(std::string outputFolder)
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{
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std::stringstream filename;
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filename << outputFolder << "/timestampfile.txt";
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timestampFile.open(filename.str().c_str());
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}
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void writeStamp(int frame_count)
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{
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std::stringstream ssaux;
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ssaux << std::setfill('0') << std::setw(4) << frame_count << "_out.png";
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timestampFile << "file " << ssaux.str() << std::endl;
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timestampFile << "duration " << current_interval / 1e6 << std::endl;
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}
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void close()
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{
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timestampFile.close();
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}
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};
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int main(int argc, char *argv[])
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{
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if (argc < 5)
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{
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printf("USAGE: VIDEO_INPUT_PATH MASK_OUTPUT_PATH START DURATION [COLOR_IMG_SUFFIX]");
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exit(1);
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}
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char *INPUT = argv[1];
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char *OUTPUT = argv[2];
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uint64_t timestamp_start_us = (uint64_t)std::stoi(argv[3]) * (uint64_t)1e6;
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printf("Starting at second %f\n", timestamp_start_us / 1e6);
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int duration = std::stoi(argv[4]);
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uint64_t timestamp_end_us = 0;
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if (duration > 0)
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{
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timestamp_end_us = (uint64_t)std::stoi(argv[4]) * (uint64_t)1e6 + timestamp_start_us;
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printf("Finishing at second %f\n", timestamp_end_us / 1e6);
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}
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bool write_color = false;
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char *color_img_suffix = "";
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if (argc >= 6)
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{
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write_color = true;
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color_img_suffix = argv[5];
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}
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SyncronizationFileWriter syncFileWriter;
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syncFileWriter.init(OUTPUT);
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k4a_playback_t playback_handle = NULL;
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VERIFY(k4a_playback_open(INPUT, &playback_handle), "Failed to open recording\n");
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uint64_t recording_length = k4a_playback_get_recording_length_usec(playback_handle);
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printf("Recording is %lld seconds long\n", recording_length / 1000000);
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k4a_calibration_t sensor_calibration;
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VERIFY(k4a_playback_get_calibration(playback_handle, &sensor_calibration),
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"Get camera calibration failed!");
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k4a_playback_set_color_conversion(playback_handle,
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K4A_IMAGE_FORMAT_COLOR_BGRA32);
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// Create the tracker
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k4abt_tracker_t tracker = NULL;
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k4abt_tracker_configuration_t tracker_config = K4ABT_TRACKER_CONFIG_DEFAULT;
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VERIFY(k4abt_tracker_create(&sensor_calibration, tracker_config, &tracker), "Body tracker initialization failed!");
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int frame_count = 0;
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char buffer[120];
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int color_image_width_pixels = sensor_calibration.color_camera_calibration.resolution_width;
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int color_image_height_pixels = sensor_calibration.color_camera_calibration.resolution_height;
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int depth_image_width_pixels = sensor_calibration.depth_camera_calibration.resolution_width;
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int depth_image_height_pixels = sensor_calibration.depth_camera_calibration.resolution_height;
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k4a_image_t mask_image = NULL;
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k4a_image_t transformed_mask_image = NULL;
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k4a_image_t transformed_depth_image = NULL;
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// transform depth camera into color camera geometry
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VERIFY(k4a_image_create(K4A_IMAGE_FORMAT_CUSTOM8,
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color_image_width_pixels,
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color_image_height_pixels,
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color_image_width_pixels * (int)sizeof(uint8_t),
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&transformed_mask_image),
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"Could not create image for mask transformation!");
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VERIFY(k4a_image_create(K4A_IMAGE_FORMAT_DEPTH16,
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color_image_width_pixels,
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color_image_height_pixels,
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color_image_width_pixels * (int)sizeof(uint16_t),
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&transformed_depth_image),
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"Could not create image for depth transformation!");
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k4a_transformation_t transformation = k4a_transformation_create(&sensor_calibration);
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Mat last_mask = cv::Mat::zeros(cv::Size(1920, 1080), CV_8U);
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bool writing = false;
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uint64_t initial_duration = 0;
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while (true)
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{
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frame_count++;
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// Get a capture
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k4a_capture_t sensor_capture;
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k4a_stream_result_t get_capture_result = k4a_playback_get_next_capture(playback_handle, &sensor_capture);
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if (get_capture_result == K4A_STREAM_RESULT_EOF)
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{
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break;
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}
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else if (get_capture_result != K4A_STREAM_RESULT_SUCCEEDED)
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{
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if (writing)
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{
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// If the frame is corrupt, we write last interval timestamp and last mask
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printf("Warning: Get capture returned error %d on frame %d\n", get_capture_result, frame_count);
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snprintf(buffer, 128, "%s/%04d_masksAK.png", OUTPUT, frame_count);
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cv::imwrite(buffer, last_mask);
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syncFileWriter.writeStamp(frame_count);
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}
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continue;
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}
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// if there is no color image, we just consider that frame didn't exist
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k4a_image_t color_image = k4a_capture_get_color_image(sensor_capture);
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if (color_image == 0)
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{
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printf("Warning: No color image %d on frame %d, dropped\n", get_capture_result, frame_count);
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frame_count--;
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k4a_capture_release(sensor_capture);
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continue;
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}
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// write color image
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if (writing && write_color)
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{
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Mat color = color_to_opencv(color_image);
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snprintf(buffer, 128, "%s/%04d_%s.png", OUTPUT, frame_count, color_img_suffix);
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cv::imwrite(buffer, color);
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}
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// get frame timestamp information
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uint64_t duration_us = k4a_image_get_device_timestamp_usec(color_image);
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k4a_image_release(color_image);
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if (initial_duration == 0)
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{ // get the first duration to compare with the rest
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initial_duration = duration_us;
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}
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current_interval = duration_us - last_duration;
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last_duration = duration_us;
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// sometimes first timestamp is wrong, in that case we use default
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if (current_interval / 1e6 > 5)
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{
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current_interval = default_interval;
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}
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// check if we are in the interested piece of video
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if (!writing && (duration_us - initial_duration) >= timestamp_start_us)
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{
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writing = true; // start writing
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frame_count = 1;
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}
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else if (writing && duration > 0 && (duration_us - initial_duration) >= timestamp_end_us)
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{
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break; // done
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}
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// don't queue if we are to too far from the start
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if (!writing && (duration_us - initial_duration) < (timestamp_start_us - int(1e6)))
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{
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k4a_capture_release(sensor_capture);
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continue;
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}
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// queque capture
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k4a_wait_result_t queue_capture_result = k4abt_tracker_enqueue_capture(tracker, sensor_capture, K4A_WAIT_INFINITE);
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k4a_capture_release(sensor_capture);
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if (queue_capture_result == K4A_WAIT_RESULT_TIMEOUT)
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{
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// It should never hit timeout when K4A_WAIT_INFINITE is set.
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printf("Error! Add capture to tracker process queue timeout!\n");
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exit(1);
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}
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else if (queue_capture_result == K4A_WAIT_RESULT_FAILED)
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{
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if (writing)
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{
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// If for some reason (probably there is no depth information) we don't have a mask for
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// this frame, we use the last one
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printf("Warning! Add capture to tracker process queue failed! Frame: %d\n", frame_count);
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snprintf(buffer, 128, "%s/%04d_masksAK.png", OUTPUT, frame_count);
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cv::imwrite(buffer, last_mask);
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syncFileWriter.writeStamp(frame_count);
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}
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continue;
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}
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// get capture for body tracker
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k4abt_frame_t body_frame = NULL;
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k4a_wait_result_t pop_frame_result = k4abt_tracker_pop_result(tracker, &body_frame, K4A_WAIT_INFINITE);
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if (pop_frame_result == K4A_WAIT_RESULT_TIMEOUT)
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{
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// It should never hit timeout when K4A_WAIT_INFINITE is set.
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printf("Error! Pop body frame result timeout!\n");
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exit(1);
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}
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else if (pop_frame_result != K4A_WAIT_RESULT_SUCCEEDED)
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{
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printf("Pop body frame result failed!\n");
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exit(1);
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}
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// go to next iteration if we are not writing
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if (!writing)
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{
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k4abt_frame_release(body_frame);
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continue;
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}
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// Process and write mask
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k4a_image_t body_index_map = k4abt_frame_get_body_index_map(body_frame);
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k4a_capture_t input_capture = k4abt_frame_get_capture(body_frame);
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k4a_image_t depth_image = k4a_capture_get_depth_image(input_capture);
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// transform body index into mask
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Mat depth_mask = index_to_opencv(body_index_map);
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cv::bitwise_not(depth_mask, depth_mask);
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VERIFY(k4a_image_create_from_buffer(
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K4A_IMAGE_FORMAT_CUSTOM8,
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depth_image_width_pixels,
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depth_image_height_pixels,
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depth_image_width_pixels * (int)sizeof(uint8_t),
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depth_mask.data,
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(size_t)(depth_mask.total() * depth_mask.elemSize()),
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NULL,
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NULL,
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&mask_image),
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"Could not create image from buffer!");
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VERIFY(k4a_transformation_depth_image_to_color_camera_custom(
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transformation,
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depth_image,
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mask_image,
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transformed_depth_image,
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transformed_mask_image,
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K4A_TRANSFORMATION_INTERPOLATION_TYPE_NEAREST,
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0),
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"Coud not transform depth image!");
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// Get mask, depth and color images
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Mat mask = index_to_opencv(transformed_mask_image);
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Mat rs_mask;
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cv::resize(mask, rs_mask, cv::Size(1920, 1080));
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snprintf(buffer, 128, "%s/%04d_masksAK.png", OUTPUT, frame_count);
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last_mask = rs_mask;
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cv::imwrite(buffer, rs_mask);
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syncFileWriter.writeStamp(frame_count);
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//imshow("BodyTracking", mask);
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//waitKey(1);
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k4a_image_release(mask_image);
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k4a_image_release(depth_image);
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k4a_image_release(body_index_map);
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k4a_capture_release(input_capture);
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k4abt_frame_release(body_frame);
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}
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printf("Finished body tracking processing!\n");
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// Clean up body tracker
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k4abt_tracker_shutdown(tracker);
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k4abt_tracker_destroy(tracker);
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k4a_playback_close(playback_handle);
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syncFileWriter.close();
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return 0;
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}
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|
||||
static cv::Mat color_to_opencv(const k4a_image_t &im)
|
||||
{
|
||||
cv::Mat cv_image_with_alpha(k4a_image_get_height_pixels(im), k4a_image_get_width_pixels(im), CV_8UC4, (void *)k4a_image_get_buffer(im));
|
||||
cv::Mat cv_image_no_alpha;
|
||||
cv::cvtColor(cv_image_with_alpha, cv_image_with_alpha, cv::COLOR_BGRA2BGR);
|
||||
return cv_image_with_alpha;
|
||||
}
|
||||
|
||||
static cv::Mat depth_to_opencv(const k4a_image_t &im)
|
||||
{
|
||||
return cv::Mat(k4a_image_get_height_pixels(im),
|
||||
k4a_image_get_width_pixels(im),
|
||||
CV_16U,
|
||||
(void *)k4a_image_get_buffer(im),
|
||||
static_cast<size_t>(k4a_image_get_stride_bytes(im)));
|
||||
}
|
||||
|
||||
static cv::Mat index_to_opencv(const k4a_image_t &im)
|
||||
{
|
||||
return cv::Mat(k4a_image_get_height_pixels(im),
|
||||
k4a_image_get_width_pixels(im),
|
||||
CV_8U,
|
||||
(void *)k4a_image_get_buffer(im),
|
||||
static_cast<size_t>(k4a_image_get_stride_bytes(im)));
|
||||
}
|
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