pp4.cpp
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#include <QThreadPool>
#include <pittpatt_errors.h>
#include <pittpatt_nc_sdk.h>
#include <pittpatt_raw_image_io.h>
#include <pittpatt_license.h>
#include <mm_plugin.h>
#define TRY(CC) \
{ \
if ((CC) != PPR_SUCCESS) qFatal("%d error (%s, %d): %s.", CC, __FILE__, __LINE__, ppr_error_message(CC)); \
}
#define TRY_VIDEO(CC) \
{ \
if ((CC) != PPR_VIDEO_IO_SUCCESS) qFatal("%d error (%s, %d): %s.", CC, __FILE__, __LINE__, ppr_video_io_error_message(CC)); \
}
#define TRY_RAW_IMAGE(CC) \
{ \
if ((CC) != PPR_RAW_IMAGE_SUCCESS) qFatal("%d error (%s, %d): %s.", CC, __FILE__, __LINE__, ppr_raw_image_error_message(CC)); \
}
using namespace mm;
/*!
* \brief PittPatt 4 context
* \author Josh Klontz \cite jklontz
* \warning Needs a maintainer.
*/
struct PP4Context
{
static ppr_context_type context;
static void createRawImage(const cv::Mat &src, ppr_raw_image_type &dst)
{
ppr_raw_image_create(&dst, src.cols, src.rows, PPR_RAW_IMAGE_BGR24);
assert((src.type() == CV_8UC3) && src.isContinuous());
memcpy(dst.data, src.data, 3*src.rows*src.cols);
}
static void createMat(const ppr_template_type &src, cv::Mat &dst)
{
ppr_flat_template_type flat_template;
TRY(ppr_flatten_template(context,src,&flat_template))
dst = cv::Mat(1, flat_template.num_bytes, CV_8UC1, flat_template.data).clone();
ppr_free_flat_template(flat_template);
}
static void createTemplate(const cv::Mat &src, ppr_template_type *dst)
{
ppr_flat_template_type flat_template;
flat_template.num_bytes = src.cols;
flat_template.data = src.data;
TRY(ppr_unflatten_template(context, flat_template, dst))
}
static QString toString(const ppr_landmark_category_type &category)
{
switch (category) {
case PPR_LANDMARK_LEFT_EYE:
return "Left_Eye";
case PPR_LANDMARK_RIGHT_EYE:
return "Right_Eye";
case PPR_LANDMARK_NOSE_BASE:
return "Nose_Base";
case PPR_LANDMARK_NOSE_BRIDGE:
return "Nose_Bridge";
case PPR_LANDMARK_NOSE_TIP:
return "Nose_Tip";
case PPR_LANDMARK_NOSE_TOP:
return "Nose_Top";
case PPR_LANDMARK_EYE_NOSE:
return "Eye_Nose";
case PPR_LANDMARK_MOUTH:
return "Mouth";
}
return "Unknown";
}
static File toMetadata(const ppr_object_type &object)
{
File metadata;
metadata.insert("PP4_Object_X", object.position.x - object.dimensions.width/2);
metadata.insert("PP4_Object_Y", object.position.y - object.dimensions.height/2);
metadata.insert("PP4_Object_Width", object.dimensions.width);
metadata.insert("PP4_Object_Height", object.dimensions.height);
metadata.insert("PP4_Object_Confidence", object.confidence);
metadata.insert("PP4_Object_Roll", object.rotation.roll);
metadata.insert("PP4_Object_Pitch", object.rotation.pitch);
metadata.insert("PP4_Object_Yaw", object.rotation.yaw);
metadata.insert("PP4_Object_Precision", object.rotation.precision);
metadata.insert("PP4_Object_ModelID", object.model_id);
metadata.insert("PP4_Object_NumLandmarks", object.num_landmarks);
metadata.insert("PP4_Object_Size", object.size);
QList<ppr_landmark_category_type> categories;
categories << PPR_LANDMARK_RIGHT_EYE
<< PPR_LANDMARK_LEFT_EYE
<< PPR_LANDMARK_NOSE_BASE
<< PPR_LANDMARK_NOSE_BRIDGE
<< PPR_LANDMARK_NOSE_TIP
<< PPR_LANDMARK_NOSE_TOP
<< PPR_LANDMARK_EYE_NOSE
<< PPR_LANDMARK_MOUTH;
for (int i=0; i<categories.size(); i++) {
ppr_landmark_category_type category = categories[i];
QString metadataString = QString("PP4_Landmark%1_%2").arg(QString::number(i), toString(category));
bool found = false;
for (int j=0; j<object.num_landmarks; j++) {
ppr_landmark_type &landmark = object.landmarks[j];
if (landmark.category != category) continue;
metadata.insert(metadataString+"_X", landmark.position.x);
metadata.insert(metadataString+"_Y", landmark.position.y);
metadata.insert(metadataString+"_Category", landmark.category);
metadata.insert(metadataString+"_ModelID", landmark.model_id);
metadata.insert(metadataString+"_Index", j);
found = true;
break;
}
if (!found) {
metadata.insert(metadataString+"_X", -1);
metadata.insert(metadataString+"_Y", -1);
metadata.insert(metadataString+"_Category", -1);
metadata.insert(metadataString+"_ModelID", -1);
metadata.insert(metadataString+"_Index", -1);
}
}
return metadata;
}
static ppr_object_type fromMetadata(const File &metadata)
{
ppr_object_type object;
object.position.x = metadata.value("PP4_Object_X").toFloat() + metadata.value("PP4_Object_Width").toFloat()/2;
object.position.y = metadata.value("PP4_Object_Y").toFloat() + metadata.value("PP4_Object_Height").toFloat()/2;
object.dimensions.width = metadata.value("PP4_Object_Width").toFloat();
object.dimensions.height = metadata.value("PP4_Object_Height").toFloat();
object.confidence = metadata.value("PP4_Object_Confidence").toFloat();
object.rotation.roll = metadata.value("PP4_Object_Roll").toFloat();
object.rotation.pitch = metadata.value("PP4_Object_Pitch").toFloat();
object.rotation.yaw = metadata.value("PP4_Object_Yaw").toFloat();
object.rotation.precision = (ppr_precision_type) metadata.value("PP4_Object_Precision").toFloat();
object.model_id = metadata.value("PP4_Object_ModelID").toInt();
object.num_landmarks = metadata.value("PP4_Object_NumLandmarks").toInt();
object.size = metadata.value("PP4_Object_Size").toFloat();
QStringList landmarkNames = QStringList(metadata.keys()).filter(QRegExp("(.*)_Category")).replaceInStrings("_Category", "");
object.landmarks = new ppr_landmark_type[object.num_landmarks];
for (int j=0; j<landmarkNames.size(); j++) {
int landmarkIndex = metadata.value(landmarkNames[j]+"_Index").toInt();
if (landmarkIndex == -1) continue;
object.landmarks[landmarkIndex].position.x = metadata.value(landmarkNames[j]+"_X").toFloat();
object.landmarks[landmarkIndex].position.y = metadata.value(landmarkNames[j]+"_Y").toFloat();
object.landmarks[landmarkIndex].category = (ppr_landmark_category_type)metadata.value(landmarkNames[j]+"_Category").toInt();
object.landmarks[landmarkIndex].model_id = metadata.value(landmarkNames[j]+"_ModelID").toInt();
landmarkIndex++;
}
return object;
}
static void freeObject(ppr_object_type &object)
{
delete[] object.landmarks;
object.landmarks = NULL;
object.num_landmarks = 0;
}
};
ppr_context_type PP4Context::context;
/*!
* \ingroup initializers
* \brief Initialize PittPatt 4
* \author Josh Klontz \cite jklontz
* \warning Needs a maintainer.
*/
class PP4Initializer : public Initializer
, public PP4Context
{
Q_OBJECT
void initialize() const
{
context = ppr_get_context();
TRY(ppr_enable_recognition(context))
TRY(ppr_set_license(context, my_license_id, my_license_key))
TRY(ppr_set_models_path(context, qPrintable(Globals->SDKPath + "/models/pp4")))
TRY(ppr_set_num_recognition_threads(context, QThreadPool::globalInstance()->maxThreadCount()))
TRY(ppr_set_num_detection_threads(context, 1))
TRY(ppr_set_detection_precision(context, PPR_FINE_PRECISION))
TRY(ppr_set_landmark_detector_type(context, PPR_DUAL_MULTI_POSE_LANDMARK_DETECTOR, PPR_AUTOMATIC_LANDMARKS))
TRY(ppr_set_min_size(context, 4))
TRY(ppr_set_frontal_yaw_constraint(context, PPR_FRONTAL_YAW_CONSTRAINT_PERMISSIVE))
TRY(ppr_set_template_extraction_type(context, PPR_EXTRACT_DOUBLE))
TRY(ppr_initialize_context(context))
Globals->Abbreviations.insert("PP4", "Open+PP4Detect!PP4Enroll:PP4Compare");
}
void finalize() const
{
TRY(ppr_release_context(context))
ppr_finalize_sdk();
}
};
MM_REGISTER(Initializer, PP4Initializer, "")
/*!
* \ingroup transforms
* \brief Detect a face in PittPatt 4
* \author Josh Klontz \cite jklontz
* \warning Needs a maintainer.
*/
class PP4Detect : public UntrainableMetaFeature
, public PP4Context
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
dst.file = src.file;
foreach (const cv::Mat &matrix, src) {
ppr_raw_image_type raw_image;
createRawImage(matrix, raw_image);
ppr_image_type image;
TRY(ppr_create_image(raw_image, &image))
ppr_object_list_type object_list;
TRY(ppr_detect_objects(context, image, &object_list))
QList<ppr_object_type> objects;
if (src.file.getBool("ForceEnrollment")) objects = getBestObject(object_list);
else objects = getAllObjects(object_list);
foreach (const ppr_object_type &object, objects) {
dst.file.append(toMetadata(object));
dst += matrix;
}
ppr_free_object_list(object_list);
ppr_free_image(image);
ppr_raw_image_free(raw_image);
}
if (src.file.getBool("ForceEnrollment") && dst.isEmpty()) dst += cv::Mat();
}
private:
QList<ppr_object_type> getBestObject(ppr_object_list_type object_list) const
{
int best_index = -1;
float best_confidence = 0;
for (int i=0; i<object_list.num_objects; i++) {
ppr_object_type object = object_list.objects[i];
ppr_object_suitability_type suitability;
TRY(ppr_is_object_suitable_for_recognition(context, object, &suitability))
if (suitability != PPR_OBJECT_SUITABLE_FOR_RECOGNITION) continue;
if ((object.confidence > best_confidence) ||
(best_index == -1)) {
best_confidence = object.confidence;
best_index = i;
}
}
QList<ppr_object_type> objects;
if (best_index != -1) objects.append(object_list.objects[best_index]);
return objects;
}
QList<ppr_object_type> getAllObjects(ppr_object_list_type object_list) const
{
QList<ppr_object_type> objects;
for (int i=0; i<object_list.num_objects; i++)
objects.append(object_list.objects[i]);
return objects;
}
};
MM_REGISTER(Feature, PP4Detect, "")
/*!
* \ingroup transforms
* \brief Enroll face in PittPatt 4
* \author Josh Klontz \cite jklontz
* \warning Needs a maintainer.
*/
class PP4Enroll : public UntrainableMetaFeature
, public PP4Context
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
if (!src.m().data) {
dst += cv::Mat();
return;
}
ppr_raw_image_type raw_image;
createRawImage(src, raw_image);
ppr_image_type image;
TRY(ppr_create_image(raw_image, &image))
ppr_object_type object = fromMetadata(src.file);
ppr_template_type curr_template;
TRY(ppr_extract_template_from_object(context, image, object, &curr_template))
freeObject(object);
cv::Mat m;
createMat(curr_template, m);
dst += m;
ppr_free_template(curr_template);
ppr_free_image(image);
ppr_raw_image_free(raw_image);
}
};
MM_REGISTER(Feature, PP4Enroll, "")
class PP4Compare : public Comparer,
public PP4Context
{
Q_OBJECT
void compare(const TemplateList &target, const TemplateList &query, Output *output) const
{
const float DefaultNonMatchScore = -1.5;
ppr_gallery_type target_gallery, query_gallery;
ppr_create_gallery(context, &target_gallery);
ppr_create_gallery(context, &query_gallery);
QList<int> target_template_ids, query_template_ids;
enroll(target, &target_gallery, target_template_ids);
enroll(query, &query_gallery, query_template_ids);
ppr_similarity_matrix_type similarity_matrix;
TRY(ppr_compare_galleries(context, query_gallery, target_gallery, &similarity_matrix))
for (int i=0; i<query_template_ids.size(); i++) {
int query_template_id = query_template_ids[i];
for (int j=0; j<target_template_ids.size(); j++) {
int target_template_id = target_template_ids[j];
float score = DefaultNonMatchScore;
if ((query_template_id != -1) && (target_template_id != -1)) {
TRY(ppr_get_similarity_matrix_element(context, similarity_matrix, query_template_id, target_template_id, &score))
}
output->setData(score, i, j);
}
}
ppr_free_similarity_matrix(similarity_matrix);
ppr_free_gallery(target_gallery);
ppr_free_gallery(query_gallery);
}
void enroll(const TemplateList &templates, ppr_gallery_type *gallery, QList<int> &template_ids) const
{
foreach (const Template &t, templates) {
if (t.m().data) {
ppr_template_type u;
createTemplate(t.m(), &u);
int template_id;
TRY(ppr_copy_template_to_gallery(context, gallery, u, &template_id))
template_ids.append(template_id);
ppr_free_template(u);
} else {
template_ids.append(-1);
}
}
}
};
MM_REGISTER(Comparer, PP4Compare, "")
#include "plugins/pp4.moc"