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Working on a new image interface.

This commit is contained in:
Tadas Baltrusaitis 2017-11-14 19:59:08 +00:00
parent dfdebd1e60
commit 8947395ca5
3 changed files with 98 additions and 63 deletions
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95
exe/FaceLandmarkImg/FaceLandmarkImg.cpp
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@ -54,6 +54,13 @@
#include <FaceAnalyser.h>
#include <GazeEstimation.h>
#include <ImageCapture.h>
#include <Visualizer.h>
#include <VisualizationUtils.h>
#include <RecorderOpenFace.h>
#include <RecorderOpenFaceParameters.h>
#ifndef CONFIG_DIR
#define CONFIG_DIR "~"
#endif
@ -141,84 +148,52 @@ int main (int argc, char **argv)
//Convert arguments to more convenient vector form
vector<string> arguments = get_arguments(argc, argv);
// Some initial parameters that can be overriden from command line
vector<string> files, output_images, output_landmark_locations, output_pose_locations;
// Prepare for image reading
Utilities::ImageCapture image_reader;
// Bounding boxes for a face in each image (optional)
vector<cv::Rect_<double> > bounding_boxes;
LandmarkDetector::get_image_input_output_params(files, output_landmark_locations, output_pose_locations, output_images, bounding_boxes, arguments);
LandmarkDetector::FaceModelParameters det_parameters(arguments);
// A utility for visualizing the results
Utilities::Visualizer visualizer(arguments);
// The sequence reader chooses what to open based on command line arguments provided
if (!image_reader.Open(arguments))
{
cout << "Could not open any images" << endl;
return 1;
}
// Load the models if images found
LandmarkDetector::FaceModelParameters det_parameters(arguments);
// No need to validate detections, as we're not doing tracking
det_parameters.validate_detections = false;
// Grab camera parameters if provided (only used for pose and eye gaze and are quite important for accurate estimates)
float fx = 0, fy = 0, cx = 0, cy = 0;
int device = -1;
LandmarkDetector::get_camera_params(device, fx, fy, cx, cy, arguments);
// If cx (optical axis centre) is undefined will use the image size/2 as an estimate
bool cx_undefined = false;
bool fx_undefined = false;
if (cx == 0 || cy == 0)
{
cx_undefined = true;
}
if (fx == 0 || fy == 0)
{
fx_undefined = true;
}
// The modules that are being used for tracking
cout << "Loading the model" << endl;
LandmarkDetector::CLNF clnf_model(det_parameters.model_location);
LandmarkDetector::CLNF face_model(det_parameters.model_location);
cout << "Model loaded" << endl;
cv::CascadeClassifier classifier(det_parameters.face_detector_location);
dlib::frontal_face_detector face_detector_hog = dlib::get_frontal_face_detector();
// Load facial feature extractor and AU analyser (make sure it is static)
FaceAnalysis::FaceAnalyserParameters face_analysis_params(arguments);
face_analysis_params.OptimizeForImages();
FaceAnalysis::FaceAnalyser face_analyser(face_analysis_params);
bool visualise = !det_parameters.quiet_mode;
// Do some image loading
for(size_t i = 0; i < files.size(); i++)
// If bounding boxes not provided, use a face detector
cv::CascadeClassifier classifier(det_parameters.face_detector_location);
dlib::frontal_face_detector face_detector_hog = dlib::get_frontal_face_detector();
cv::Mat captured_image;
captured_image = image_reader.GetNextImage();
cout << "Starting tracking" << endl;
while (!captured_image.empty())
{
string file = files.at(i);
// Loading image
cv::Mat read_image = cv::imread(file, -1);
Utilities::RecorderOpenFaceParameters recording_params(arguments, false);
Utilities::RecorderOpenFace open_face_rec(image_reader.name, recording_params, arguments);
if (read_image.empty())
{
cout << "Could not read the input image" << endl;
return 1;
}
// Making sure the image is in uchar grayscale
cv::Mat_<uchar> grayscale_image;
convert_to_grayscale(read_image, grayscale_image);
// If optical centers are not defined just use center of image
if (cx_undefined)
{
cx = grayscale_image.cols / 2.0f;
cy = grayscale_image.rows / 2.0f;
}
// Use a rough guess-timate of focal length
if (fx_undefined)
{
fx = 500 * (grayscale_image.cols / 640.0);
fy = 500 * (grayscale_image.rows / 480.0);
fx = (fx + fy) / 2.0;
fy = fx;
}
cv::Mat_<uchar> grayscale_image = image_reader.GetGrayFrame();
// if no pose defined we just use a face detector
if(bounding_boxes.empty())

10
lib/local/Utilities/include/ImageCapture.h
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@ -65,7 +65,7 @@ namespace Utilities
// Direct opening
// Image sequence in the directory
bool OpenDirectory(std::string directory, float fx = -1, float fy = -1, float cx = -1, float cy = -1);
bool OpenDirectory(std::string directory, std::string bbox_directory="", float fx = -1, float fy = -1, float cx = -1, float cy = -1);
// Video file
bool OpenImageFiles(const std::vector<std::string>& image_files, float fx = -1, float fy = -1, float cx = -1, float cy = -1);
@ -76,6 +76,9 @@ namespace Utilities
// Getting the most recent grayscale frame (need to call GetNextImage first)
cv::Mat_<uchar> GetGrayFrame();
// Return bounding boxes associated with the image (if defined)
std::vector<cv::Rect_<double> > GetBoundingBoxes();
// Parameters describing the sequence and it's progress (what's the proportion of images opened)
double GetProgress();
@ -87,6 +90,8 @@ namespace Utilities
// Name of the video file, image directory, or the webcam
std::string name;
bool has_bounding_boxes;
private:
// Storing the latest captures
@ -97,6 +102,9 @@ namespace Utilities
size_t frame_num;
std::vector<std::string> image_files;
// Could optionally read the bounding box locations from files (each image could have multiple bounding boxes)
std::vector<std::vector<cv::Rect_<double> > > bounding_boxes;
void SetCameraIntrinsics(float fx, float fy, float cx, float cy);
// TODO make sure that can set fx, fy externally

56
lib/local/Utilities/src/ImageCapture.cpp
View File

@ -88,8 +88,10 @@ bool ImageCapture::Open(std::vector<std::string>& arguments)
}
std::string input_directory;
std::string bbox_directory;
bool directory_found = false;
has_bounding_boxes = false;
std::vector<std::string> input_image_files;
@ -117,6 +119,14 @@ bool ImageCapture::Open(std::vector<std::string>& arguments)
directory_found = true;
}
}
else if (arguments[i].compare("-bboxdir") == 0)
{
bbox_directory = (input_root + arguments[i + 1]);
valid[i] = false;
valid[i + 1] = false;
has_bounding_boxes = true;
i++;
}
else if (arguments[i].compare("-fx") == 0)
{
std::stringstream data(arguments[i + 1]);
@ -158,7 +168,7 @@ bool ImageCapture::Open(std::vector<std::string>& arguments)
}
if (!input_directory.empty())
{
return OpenDirectory(input_directory, fx, fy, cx, cy);
return OpenDirectory(input_directory, bbox_directory, fx, fy, cx, cy);
}
// If no input found return false and set a flag for it
@ -192,7 +202,7 @@ bool ImageCapture::OpenImageFiles(const std::vector<std::string>& image_files, f
}
bool ImageCapture::OpenDirectory(std::string directory, float fx, float fy, float cx, float cy)
bool ImageCapture::OpenDirectory(std::string directory, std::string bbox_directory, float fx, float fy, float cx, float cy)
{
INFO_STREAM("Attempting to read from directory: " << directory);
@ -215,6 +225,36 @@ bool ImageCapture::OpenDirectory(std::string directory, float fx, float fy, floa
if (file_iterator->extension().string().compare(".jpg") == 0 || file_iterator->extension().string().compare(".jpeg") == 0 || file_iterator->extension().string().compare(".png") == 0 || file_iterator->extension().string().compare(".bmp") == 0)
{
curr_dir_files.push_back(file_iterator->string());
// If bounding box directory is specified, read the bounding boxes from it
if (!bbox_directory.empty())
{
boost::filesystem::path current_file = *file_iterator;
boost::filesystem::path bbox_file = current_file.replace_extension("txt");
// If there is a bounding box file push it to the list of bounding boxes
if (boost::filesystem::exists(bbox_file))
{
std::ifstream in_bbox(bbox_file.string().c_str(), std::ios_base::in);
std::vector<cv::Rect_<double> > bboxes_image;
while (!in_bbox.eof())
{
double min_x, min_y, max_x, max_y;
in_bbox >> min_x >> min_y >> max_x >> max_y;
bboxes_image.push_back(cv::Rect_<double>(min_x, min_y, max_x - min_x, max_y - min_y));
}
in_bbox.close();
bounding_boxes.push_back(bboxes_image);
}
}
else
{
ERROR_STREAM("Could not find the corresponding bounding box for file:" + file_iterator->string());
}
}
}
@ -344,6 +384,18 @@ cv::Mat ImageCapture::GetNextImage()
return latest_frame;
}
std::vector<cv::Rect_<double> > ImageCapture::GetBoundingBoxes()
{
if (!bounding_boxes.empty())
{
return bounding_boxes[frame_num - 1];
}
else
{
return std::vector<cv::Rect_<double> >();
}
}
double ImageCapture::GetProgress()
{
return (double)frame_num / (double)image_files.size();