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