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From 35ed870a3b4e7977119272d3232aaa947bea22ac Mon Sep 17 00:00:00 2001
From: kwizart <kwizart@gmail.com>
Date: Mon, 30 Dec 2019 14:44:51 +0100
Subject: [PATCH] Update facebl0r to c++ api
Signed-off-by: kwizart <kwizart@gmail.com>
---
src/filter/facebl0r/facebl0r.cpp | 56 ++++++++++++++++++--------------
1 file changed, 32 insertions(+), 24 deletions(-)
diff --git a/src/filter/facebl0r/facebl0r.cpp b/src/filter/facebl0r/facebl0r.cpp
index 17446cc..ba146d0 100644
--- a/src/filter/facebl0r/facebl0r.cpp
+++ b/src/filter/facebl0r/facebl0r.cpp
@@ -18,7 +18,11 @@
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
-#include <opencv2/opencv.hpp>
+#include <opencv2/core.hpp>
+#include <opencv2/imgproc/imgproc_c.h>
+#include <opencv2/imgproc.hpp>
+#include <opencv2/objdetect.hpp>
+#include <opencv2/video/tracking.hpp>
#include "frei0r.hpp"
#include "frei0r_math.h"
@@ -30,7 +34,7 @@ typedef struct {
CvHistogram* hist; //histogram of hue in original face image
- CvRect prev_rect; //location of face in previous frame
+ cv::Rect prev_rect; //location of face in previous frame
CvBox2D curr_box; //current face location estimate
} TrackedObj;
@@ -53,7 +57,7 @@ class FaceBl0r: public frei0r::filter {
void update_hue_image (const IplImage* image, TrackedObj* imgs);
//trackface
- CvRect* detect_face (IplImage*, CvHaarClassifierCascade*, CvMemStorage*);
+ CvRect* detect_face (IplImage*, cv::CascadeClassifier&, CvMemStorage*);
TrackedObj* tracked_obj;
@@ -63,7 +67,7 @@ class FaceBl0r: public frei0r::filter {
//used by capture_video_frame, so we don't have to keep creating.
IplImage* image;
- CvHaarClassifierCascade* cascade;
+ cv::CascadeClassifier cascade;
CvMemStorage* storage;
// plugin parameters
@@ -96,7 +100,7 @@ FaceBl0r::FaceBl0r(int wdt, int hgt) {
tracked_obj = 0;
face_found = 0;
- cascade = 0;
+ //cascade = 0;
storage = 0;
classifier = "/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml";
@@ -124,7 +128,7 @@ FaceBl0r::~FaceBl0r() {
if(tracked_obj)
destroy_tracked_object(tracked_obj);
- if(cascade) cvReleaseHaarClassifierCascade(&cascade);
+ //if(cascade) cvReleaseHaarClassifierCascade(&cascade);
if(storage) cvReleaseMemStorage(&storage);
}
@@ -133,7 +137,7 @@ void FaceBl0r::update(double time,
uint32_t* out,
const uint32_t* in) {
- if (!cascade) {
+ if (cascade.empty()) {
cvSetNumThreads(cvRound(threads * 100));
if (classifier.length() > 0) {
if (classifier == old_classifier) {
@@ -142,8 +146,7 @@ void FaceBl0r::update(double time,
return;
} else old_classifier = classifier;
- cascade = (CvHaarClassifierCascade*) cvLoad(classifier.c_str(), 0, 0, 0 );
- if (!cascade) {
+ if (!cascade.load(classifier.c_str())) {
fprintf(stderr, "ERROR in filter facebl0r, classifier cascade not found:\n");
fprintf(stderr, " %s\n", classifier.c_str());
memcpy(out, in, size * 4);
@@ -234,30 +237,33 @@ void FaceBl0r::update(double time,
/* Given an image and a classider, detect and return region. */
CvRect* FaceBl0r::detect_face (IplImage* image,
- CvHaarClassifierCascade* cascade,
+ cv::CascadeClassifier &cascade,
CvMemStorage* storage) {
CvRect* rect = 0;
+ std::vector<cv::Rect> faces;
+ cv::Mat gray_mat;
- if (cascade && storage) {
+ if (!cascade.empty() && storage) {
//use an equalized gray image for better recognition
IplImage* gray = cvCreateImage(cvSize(image->width, image->height), 8, 1);
cvCvtColor(image, gray, CV_BGR2GRAY);
cvEqualizeHist(gray, gray);
cvClearMemStorage(storage);
+ gray_mat = cv::cvarrToMat(&gray);
//get a sequence of faces in image
int min = cvRound(smallest * 1000);
- CvSeq *faces = cvHaarDetectObjects(gray, cascade, storage,
+ cascade.detectMultiScale(gray_mat, faces,
search_scale * 10.0,
cvRound(neighbors * 100),
- CV_HAAR_FIND_BIGGEST_OBJECT|//since we track only the first, get the biggest
- CV_HAAR_DO_CANNY_PRUNING, //skip regions unlikely to contain a face
- cvSize(min, min));
+ cv::CASCADE_FIND_BIGGEST_OBJECT|//since we track only the first, get the biggest
+ cv::CASCADE_DO_CANNY_PRUNING, //skip regions unlikely to contain a face
+ cvSize(min,min));
//if one or more faces are detected, return the first one
- if(faces && faces->total)
- rect = (CvRect*) cvGetSeqElem(faces, 0);
+ if(faces.size() > 0)
+ rect = (CvRect*) &faces.front();
cvReleaseImage(&gray);
}
@@ -321,7 +327,7 @@ void FaceBl0r::destroy_tracked_object (TrackedObj* obj) {
/* Given an image and tracked object, return box position. */
CvBox2D FaceBl0r::camshift_track_face (IplImage* image, TrackedObj* obj) {
- CvConnectedComp components;
+ //CvConnectedComp components;
//create a new hue image
update_hue_image(image, obj);
@@ -330,16 +336,18 @@ CvBox2D FaceBl0r::camshift_track_face (IplImage* image, TrackedObj* obj) {
cvCalcBackProject(&obj->hue, obj->prob, obj->hist);
cvAnd(obj->prob, obj->mask, obj->prob, 0);
+ cv::Mat obj_prob_mat = cv::cvarrToMat(&obj->prob);
+
//use CamShift to find the center of the new face probability
- cvCamShift(obj->prob, obj->prev_rect,
- cvTermCriteria(CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1),
- &components, &obj->curr_box);
+ cv::RotatedRect rot_rect = cv::CamShift(obj_prob_mat, obj->prev_rect,
+ cvTermCriteria(CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1));
+ // &components, &obj->curr_box);
//update face location and angle
- obj->prev_rect = components.rect;
- obj->curr_box.angle = -obj->curr_box.angle;
+ //obj->prev_rect = components.rect;
+ //obj->curr_box.angle = -obj->curr_box.angle;
- return obj->curr_box;
+ return rot_rect;
}
void FaceBl0r::update_hue_image (const IplImage* image, TrackedObj* obj) {
|
