456 lines
13 KiB
C++
456 lines
13 KiB
C++
///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
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// all rights reserved.
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//
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// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
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//
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// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
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// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
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//
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// License can be found in OpenFace-license.txt
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// * Any publications arising from the use of this software, including but
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// not limited to academic journal and conference publications, technical
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// reports and manuals, must cite at least one of the following works:
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//
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// OpenFace: an open source facial behavior analysis toolkit
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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//
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// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
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// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
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// in IEEE International. Conference on Computer Vision (ICCV), 2015
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//
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// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
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// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
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// in Facial Expression Recognition and Analysis Challenge,
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// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
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//
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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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// Camera_Interop.h
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#pragma once
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#pragma unmanaged
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// Include all the unmanaged things we need.
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#include <opencv2/core/core.hpp>
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#include "opencv2/objdetect.hpp"
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#include "opencv2/calib3d.hpp"
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#include <opencv2/imgcodecs.hpp>
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#include <opencv2/imgproc.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <vector>
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#include <set>
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#include <OpenCVWrappers.h>
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// For camera listings
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#include "comet_auto_mf.h"
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#include "camera_helper.h"
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#pragma managed
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#include <msclr\marshal.h>
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#include <msclr\marshal_cppstd.h>
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namespace CameraInterop {
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public ref class CaptureFailedException : System::Exception
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{
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public:
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CaptureFailedException(System::String^ message): Exception(message){}
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};
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public ref class Capture
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{
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private:
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// OpenCV based video capture for reading from files
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cv::VideoCapture* vc;
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OpenCVWrappers::RawImage^ latestFrame;
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OpenCVWrappers::RawImage^ grayFrame;
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double fps;
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bool is_webcam;
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bool is_image_seq;
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int frame_num;
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std::vector<std::string>* image_files;
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int vid_length;
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public:
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int width, height;
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Capture(int device, int width, int height)
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{
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assert(device >= 0);
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latestFrame = gcnew OpenCVWrappers::RawImage();
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vc = new cv::VideoCapture(device);
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vc->set(CV_CAP_PROP_FRAME_WIDTH, width);
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vc->set(CV_CAP_PROP_FRAME_HEIGHT, height);
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is_webcam = true;
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is_image_seq = false;
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this->width = width;
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this->height = height;
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vid_length = 0;
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frame_num = 0;
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int set_width = vc->get(CV_CAP_PROP_FRAME_WIDTH);
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int set_height = vc->get(CV_CAP_PROP_FRAME_HEIGHT);
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if(!vc->isOpened())
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{
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throw gcnew CaptureFailedException("Failed to open the webcam");
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}
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if(set_width != width || set_height != height)
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{
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throw gcnew CaptureFailedException("Failed to open the webcam with desired resolution");
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}
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}
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Capture(System::String^ videoFile)
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{
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latestFrame = gcnew OpenCVWrappers::RawImage();
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vc = new cv::VideoCapture(msclr::interop::marshal_as<std::string>(videoFile));
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fps = vc->get(CV_CAP_PROP_FPS);
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is_webcam = false;
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is_image_seq = false;
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this->width = vc->get(CV_CAP_PROP_FRAME_WIDTH);
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this->height = vc->get(CV_CAP_PROP_FRAME_HEIGHT);
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vid_length = vc->get(CV_CAP_PROP_FRAME_COUNT);
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frame_num = 0;
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if(!vc->isOpened())
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{
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throw gcnew CaptureFailedException("Failed to open the video file");
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}
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}
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// An alternative to using video files is using image sequences
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Capture(System::Collections::Generic::List<System::String^>^ image_files)
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{
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latestFrame = gcnew OpenCVWrappers::RawImage();
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is_webcam = false;
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is_image_seq = true;
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this->image_files = new std::vector<std::string>();
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for(int i = 0; i < image_files->Count; ++i)
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{
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this->image_files->push_back(msclr::interop::marshal_as<std::string>(image_files[i]));
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}
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vid_length = image_files->Count;
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}
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static void split(const std::string &s, char delim, std::vector<string> &elems) {
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std::stringstream ss;
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ss.str(s);
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std::string item;
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while (std::getline(ss, item, delim)) {
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elems.push_back(item);
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}
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}
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static System::Collections::Generic::Dictionary<System::String^, System::Collections::Generic::List<System::Tuple<int,int>^>^>^ GetListingFromFile(std::string filename)
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{
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// Check what cameras have been written (using OpenCVs XML packages)
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cv::FileStorage fs_read(filename, cv::FileStorage::READ);
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auto managed_camera_list_initial = gcnew System::Collections::Generic::Dictionary<System::String^, System::Collections::Generic::List<System::Tuple<int,int>^>^>();
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cv::FileNode camera_node_list = fs_read["cameras"];
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// iterate through a sequence using FileNodeIterator
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for(size_t idx = 0; idx < camera_node_list.size(); idx++ )
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{
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std::string camera_name = (std::string)camera_node_list[idx]["name"];
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cv::FileNode resolution_list = camera_node_list[idx]["resolutions"];
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auto resolutions = gcnew System::Collections::Generic::List<System::Tuple<int, int>^>();
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for(size_t r_idx = 0; r_idx < resolution_list.size(); r_idx++ )
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{
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string res = resolution_list[r_idx]["res"];
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std::vector<std::string> elems;
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split(res, 'x', elems);
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int x = stoi(elems[0]);
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int y = stoi(elems[1]);
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resolutions->Add(gcnew System::Tuple<int,int>(x, y));
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}
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managed_camera_list_initial[gcnew System::String(camera_name.c_str())] = resolutions;
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}
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fs_read.release();
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return managed_camera_list_initial;
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}
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static void WriteCameraListingToFile(System::Collections::Generic::Dictionary<System::String^, System::Collections::Generic::List<System::Tuple<int,int>^>^>^ camera_list, std::string filename)
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{
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cv::FileStorage fs("camera_list.xml", cv::FileStorage::WRITE);
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fs << "cameras" << "[";
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for each( System::String^ name_m in camera_list->Keys )
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{
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std::string name = msclr::interop::marshal_as<std::string>(name_m);
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fs << "{:" << "name" << name;
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fs << "resolutions" << "[";
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auto resolutions = camera_list[name_m];
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for(int j = 0; j < resolutions->Count; j++)
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{
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stringstream ss;
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ss << resolutions[j]->Item1 << "x" << resolutions[j]->Item2;
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fs << "{:" << "res" << ss.str();
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fs<< "}";
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}
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fs << "]";
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fs << "}";
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}
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fs << "]";
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fs.release();
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}
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static System::Collections::Generic::List<System::Tuple<System::String^, System::Collections::Generic::List<System::Tuple<int,int>^>^, OpenCVWrappers::RawImage^>^>^ GetCameras(System::String^ root_directory_m)
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{
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std::string root_directory = msclr::interop::marshal_as<std::string>(root_directory_m);
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auto managed_camera_list_initial = GetListingFromFile(root_directory + "camera_list.xml");
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auto managed_camera_list = gcnew System::Collections::Generic::List<System::Tuple<System::String^, System::Collections::Generic::List<System::Tuple<int,int>^>^, OpenCVWrappers::RawImage^>^>();
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// Using DirectShow for capturing from webcams (for MJPG as has issues with other formats)
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comet::auto_mf auto_mf;
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std::vector<camera> cameras = camera_helper::get_all_cameras();
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// A Surface Pro specific hack, it seems to list webcams in a weird way
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for (size_t i = 0; i < cameras.size(); ++i)
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{
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cameras[i].activate();
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std::string name = cameras[i].name();
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// TODO, something is odd here
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//if(name.compare("Microsoft LifeCam Front") == 0)
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//{
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// cameras.push_back(cameras[i]);
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// cameras.erase(cameras.begin() + i);
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//}
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}
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for (size_t i = 0; i < cameras.size(); ++i)
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{
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cameras[i].activate();
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std::string name = cameras[i].name();
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System::String^ name_managed = gcnew System::String(name.c_str());
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// List camera media types
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auto media_types = cameras[i].media_types();
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System::Collections::Generic::List<System::Tuple<int,int>^>^ resolutions;
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std::set<std::pair<int, int>> res_set;
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// If we have them just use pre-loaded resolutions
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if(managed_camera_list_initial->ContainsKey(name_managed))
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{
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resolutions = managed_camera_list_initial[name_managed];
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}
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else
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{
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resolutions = gcnew System::Collections::Generic::List<System::Tuple<int,int>^>();
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for (size_t m = 0; m < media_types.size(); ++m)
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{
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auto media_type_curr = media_types[m];
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res_set.insert(std::pair<int, int>(std::pair<int,int>(media_type_curr.resolution().width, media_type_curr.resolution().height)));
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}
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}
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// Grab some sample images and confirm the resolutions
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cv::VideoCapture cap1(i);
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// Go through resolutions if they have not been identified
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if(resolutions->Count == 0)
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{
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for (auto beg = res_set.begin(); beg != res_set.end(); ++beg)
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{
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auto resolution = gcnew System::Tuple<int, int>(beg->first, beg->first);
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cap1.set(CV_CAP_PROP_FRAME_WIDTH, resolution->Item1);
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cap1.set(CV_CAP_PROP_FRAME_HEIGHT, resolution->Item2);
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// Add only valid resolutions as API sometimes provides wrong ones
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int set_width = cap1.get(CV_CAP_PROP_FRAME_WIDTH);
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int set_height = cap1.get(CV_CAP_PROP_FRAME_HEIGHT);
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resolution = gcnew System::Tuple<int, int>(set_width, set_height);
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if(!resolutions->Contains(resolution))
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{
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resolutions->Add(resolution);
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}
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}
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managed_camera_list_initial[name_managed] = resolutions;
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}
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cv::Mat sample_img;
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OpenCVWrappers::RawImage^ sample_img_managed = gcnew OpenCVWrappers::RawImage();
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// Now that the resolutions have been identified, pick a camera and create a thumbnail
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if(resolutions->Count > 0)
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{
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int resolution_ind = resolutions->Count / 2;
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if(resolution_ind >= resolutions->Count)
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resolution_ind = resolutions->Count - 1;
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auto resolution = resolutions[resolution_ind];
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cap1.set(CV_CAP_PROP_FRAME_WIDTH, resolution->Item1);
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cap1.set(CV_CAP_PROP_FRAME_HEIGHT, resolution->Item2);
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for (int k = 0; k < 5; ++k)
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cap1.read(sample_img);
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// Flip horizontally
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cv::flip(sample_img, sample_img, 1);
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}
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cap1.~VideoCapture();
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sample_img.copyTo(sample_img_managed->Mat);
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managed_camera_list->Add(gcnew System::Tuple<System::String^, System::Collections::Generic::List<System::Tuple<int,int>^>^, OpenCVWrappers::RawImage^>(gcnew System::String(name.c_str()), resolutions, sample_img_managed));
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}
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WriteCameraListingToFile(managed_camera_list_initial, root_directory + "camera_list.xml");
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return managed_camera_list;
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}
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OpenCVWrappers::RawImage^ GetNextFrame(bool mirror)
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{
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frame_num++;
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if(vc != nullptr)
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{
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bool success = vc->read(latestFrame->Mat);
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if (!success)
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{
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// Indicate lack of success by returning an empty image
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cv::Mat empty_mat = cv::Mat();
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empty_mat.copyTo(latestFrame->Mat);
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return latestFrame;
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}
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}
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else if(is_image_seq)
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{
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if(image_files->empty())
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{
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// Indicate lack of success by returning an empty image
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cv::Mat empty_mat = cv::Mat();
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empty_mat.copyTo(latestFrame->Mat);
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return latestFrame;
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}
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cv::Mat img = cv::imread(image_files->at(0), -1);
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img.copyTo(latestFrame->Mat);
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// Remove the first frame
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image_files->erase(image_files->begin(), image_files->begin() + 1);
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}
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if (grayFrame == nullptr) {
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if (latestFrame->Width > 0) {
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grayFrame = gcnew OpenCVWrappers::RawImage(latestFrame->Width, latestFrame->Height, CV_8UC1);
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}
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}
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if(mirror)
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{
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flip(latestFrame->Mat, latestFrame->Mat, 1);
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}
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if (grayFrame != nullptr) {
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cvtColor(latestFrame->Mat, grayFrame->Mat, CV_BGR2GRAY);
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}
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return latestFrame;
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}
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double GetProgress()
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{
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if(vc != nullptr && is_webcam)
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{
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return - 1.0;
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}
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else
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{
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return (double)frame_num / (double)vid_length;
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}
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}
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bool isOpened()
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{
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if(vc != nullptr)
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return vc->isOpened();
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else
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{
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if(is_image_seq && image_files->size() > 0)
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return true;
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else
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return false;
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}
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}
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OpenCVWrappers::RawImage^ GetCurrentFrameGray() {
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return grayFrame;
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}
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double GetFPS() {
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return fps;
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}
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// Finalizer. Definitely called before Garbage Collection,
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// but not automatically called on explicit Dispose().
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// May be called multiple times.
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!Capture()
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{
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// Automatically closes capture object before freeing memory.
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if(vc != nullptr)
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{
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vc->~VideoCapture();
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}
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if(image_files != nullptr)
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delete image_files;
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}
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// Destructor. Called on explicit Dispose() only.
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~Capture()
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{
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this->!Capture();
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}
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};
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}
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