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-rw-r--r--externals/gridflow/optional/opencv.c380
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diff --git a/externals/gridflow/optional/opencv.c b/externals/gridflow/optional/opencv.c
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--- a/externals/gridflow/optional/opencv.c
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@@ -1,380 +0,0 @@
-/*
- $Id: opencv.c 3977 2008-07-04 20:15:08Z matju $
-
- GridFlow
- Copyright (c) 2001-2008 by Mathieu Bouchard
-
- This program is free software; you can redistribute it and/or
- modify it under the terms of the GNU General Public License
- as published by the Free Software Foundation; either version 2
- of the License, or (at your option) any later version.
-
- See file ../COPYING for further informations on licensing terms.
-
- This program is distributed in the hope that it will be useful,
- but WITHOUT ANY WARRANTY; without even the implied warranty of
- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
- GNU General Public License for more details.
-
- You should have received a copy of the GNU General Public License
- along with this program; if not, write to the Free Software
- Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
-*/
-
-#include "../gridflow.h.fcs"
-#include <opencv/cv.h>
-#include <errno.h>
-
-int ipl_eltype(NumberTypeE e) {
- switch (e) {
- case uint8_e: return IPL_DEPTH_8U;
- // IPL_DEPTH_8S not supported
- // IPL_DEPTH_16U not supported
- case int16_e: return IPL_DEPTH_16S;
- case int32_e: return IPL_DEPTH_32S;
- case float32_e: return IPL_DEPTH_32F;
- case float64_e: return IPL_DEPTH_64F;
- default: RAISE("unsupported type %s",number_type_table[e].name);
- }
-}
-
-NumberTypeE gf_ipltype(int e) {
- switch (e) {
- case IPL_DEPTH_8U: return uint8_e;
- // IPL_DEPTH_8S not supported
- // IPL_DEPTH_16U not supported
- case IPL_DEPTH_16S: return int16_e;
- case IPL_DEPTH_32S: return int32_e;
- case IPL_DEPTH_32F: return float32_e;
- case IPL_DEPTH_64F: return float64_e;
- default: RAISE("unsupported IPL type %d",e);
- }
-}
-
-int cv_eltype(NumberTypeE e) {
- switch (e) {
- case uint8_e: return CV_8U;
- // CV_8S not supported
- // CV_16U not supported
- case int16_e: return CV_16S;
- case int32_e: return CV_32S;
- case float32_e: return CV_32F;
- case float64_e: return CV_64F;
- default: RAISE("unsupported type %s",number_type_table[e].name);
- }
-}
-
-NumberTypeE gf_cveltype(int e) {
- switch (e) {
- case CV_8U: return uint8_e;
- // CV_8S not supported
- // CV_16U not supported
- case CV_16S: return int16_e;
- case CV_32S: return int32_e;
- case CV_32F: return float32_e;
- case CV_64F: return float64_e;
- default: RAISE("unsupported CV type %d",e);
- }
-}
-
-enum CvMode {
- cv_mode_auto,
- cv_mode_channels,
- cv_mode_nochannels,
-};
-
-CvMode convert (const t_atom2 &x, CvMode *foo) {
- if (x==gensym("auto")) return cv_mode_auto;
- if (x==gensym("channels")) return cv_mode_channels;
- if (x==gensym("nochannels")) return cv_mode_nochannels;
- RAISE("invalid CvMode");
-}
-
-CvArr *cvGrid(PtrGrid g, CvMode mode, int reqdims=-1) {
- P<Dim> d = g->dim;
- int channels=1;
- int dims=g->dim->n;
- //post("mode=%d",(int)mode);
- if (mode==cv_mode_channels && g->dim->n==0) RAISE("CV: channels dimension required for 'mode channels'");
- if ((mode==cv_mode_auto && g->dim->n>=3) || mode==cv_mode_channels) channels=g->dim->v[--dims];
- if (channels>64) RAISE("CV: too many channels. max 64, got %d",channels);
- //post("channels=%d dims=%d nt=%d",channels,dims,g->nt);
- //post("bits=%d",number_type_table[g->nt].size);
- //if (dims==2) return cvMat(g->dim->v[0],g->dim->v[1],cv_eltype(g->nt),g->data);
- if (reqdims>=0 && reqdims!=dims) RAISE("CV: wrong number of dimensions. expected %d, got %d", reqdims, dims);
- if (dims==2) {
- CvMat *a = cvCreateMatHeader(g->dim->v[0],g->dim->v[1],CV_MAKETYPE(cv_eltype(g->nt),channels));
- cvSetData(a,g->data,g->dim->prod(1)*(number_type_table[g->nt].size/8));
- return a;
- }
- RAISE("unsupported number of dimensions (got %d)",g->dim->n);
- //return 0;
-}
-
-IplImage *cvImageGrid(PtrGrid g /*, CvMode mode */) {
- P<Dim> d = g->dim;
- if (d->n!=3) RAISE("expected 3 dimensions, got %s",d->to_s());
- int channels=g->dim->v[2];
- if (channels>64) RAISE("too many channels. max 64, got %d",channels);
- CvSize size = {d->v[1],d->v[0]};
- IplImage *a = cvCreateImageHeader(size,ipl_eltype(g->nt),channels);
- cvSetData(a,g->data,g->dim->prod(1)*(number_type_table[g->nt].size/8));
- return a;
-}
-
-\class CvOp1 : FObject {
- \attr CvMode mode;
- \constructor () {mode = cv_mode_auto;}
- /* has no default \grin 0 handler so far. */
-};
-\end class {}
-
-\class CvOp2 : CvOp1 {
- PtrGrid r;
- \constructor (Grid *r=0) {this->r = r?r:new Grid(new Dim(),int32_e,true);}
- virtual void func(CvArr *l, CvArr *r, CvArr *o) {/* rien */}
- \grin 0
- \grin 1
-};
-GRID_INLET(CvOp2,0) {
- SAME_TYPE(in,r);
- if (!in->dim->equal(r->dim)) RAISE("dimension mismatch: left:%s right:%s",in->dim->to_s(),r->dim->to_s());
- in->set_chunk(0);
-} GRID_FLOW {
- PtrGrid l = new Grid(in->dim,(T *)data);
- PtrGrid o = new Grid(in->dim,in->nt);
- CvArr *a = cvGrid(l,mode);
- CvArr *b = cvGrid(r,mode);
- CvArr *c = cvGrid(o,mode);
- func(a,b,c);
- cvReleaseMat((CvMat **)&a);
- cvReleaseMat((CvMat **)&b);
- cvReleaseMat((CvMat **)&c);
- out = new GridOutlet(this,0,in->dim,in->nt);
- out->send(o->dim->prod(),(T *)o->data);
-} GRID_END
-GRID_INPUT2(CvOp2,1,r) {} GRID_END
-\end class {}
-
-#define FUNC(CLASS) CLASS(BFObject *bself, MESSAGE):CvOp2(bself,MESSAGE2) {} virtual void func(CvArr *l, CvArr *r, CvArr *o)
-
-\class CvAdd : CvOp2 {FUNC(CvAdd) {cvAdd(l,r,o,0);}};
-\end class {install("cv.Add",2,1);}
-\class CvSub : CvOp2 {FUNC(CvSub) {cvSub(l,r,o,0);}};
-\end class {install("cv.Sub",2,1);}
-\class CvMul : CvOp2 {FUNC(CvMul) {cvMul(l,r,o,1);}};
-\end class {install("cv.Mul",2,1);}
-\class CvDiv : CvOp2 {FUNC(CvDiv) {cvDiv(l,r,o,1);}};
-\end class {install("cv.Div",2,1);}
-\class CvAnd : CvOp2 {FUNC(CvAnd) {cvAnd(l,r,o,0);}};
-\end class {install("cv.And",2,1);}
-\class CvOr : CvOp2 {FUNC(CvOr ) {cvOr( l,r,o,0);}};
-\end class {install("cv.Or" ,2,1);}
-\class CvXor : CvOp2 {FUNC(CvXor) {cvXor(l,r,o,0);}};
-\end class {install("cv.Xor",2,1);}
-
-\class CvInvert : CvOp1 {
- \constructor () {}
- \grin 0
-};
-GRID_INLET(CvInvert,0) {
- if (in->dim->n!=2) RAISE("should have 2 dimensions");
- if (in->dim->v[0] != in->dim->v[1]) RAISE("matrix should be square");
- in->set_chunk(0);
-} GRID_FLOW {
- //post("l=%p, r=%p", &*l, &*r);
- PtrGrid l = new Grid(in->dim,(T *)data);
- PtrGrid o = new Grid(in->dim,in->nt);
- CvArr *a = cvGrid(l,mode);
- CvArr *c = cvGrid(o,mode);
- //post("a=%p, b=%p", a, b);
- cvInvert(a,c);
- cvReleaseMat((CvMat **)&a);
- cvReleaseMat((CvMat **)&c);
- out = new GridOutlet(this,0,in->dim,in->nt);
- out->send(o->dim->prod(),(T *)o->data);
-} GRID_END
-\end class {install("cv.Invert",1,1);}
-
-\class CvSVD : CvOp1 {
- \grin 0
- \constructor () {}
-};
-GRID_INLET(CvSVD,0) {
- if (in->dim->n!=2) RAISE("should have 2 dimensions");
- if (in->dim->v[0] != in->dim->v[1]) RAISE("matrix should be square");
- in->set_chunk(0);
-} GRID_FLOW {
- PtrGrid l = new Grid(in->dim,(T *)data);
- PtrGrid o0 = new Grid(in->dim,in->nt);
- PtrGrid o1 = new Grid(in->dim,in->nt);
- PtrGrid o2 = new Grid(in->dim,in->nt);
- CvArr *a = cvGrid(l,mode);
- CvArr *c0 = cvGrid(o0,mode);
- CvArr *c1 = cvGrid(o1,mode);
- CvArr *c2 = cvGrid(o2,mode);
- cvSVD(a,c0,c1,c2);
- cvReleaseMat((CvMat **)&a);
- cvReleaseMat((CvMat **)&c0);
- cvReleaseMat((CvMat **)&c1);
- cvReleaseMat((CvMat **)&c2);
- out = new GridOutlet(this,2,in->dim,in->nt); out->send(o2->dim->prod(),(T *)o2->data);
- out = new GridOutlet(this,1,in->dim,in->nt); out->send(o1->dim->prod(),(T *)o1->data);
- out = new GridOutlet(this,0,in->dim,in->nt); out->send(o0->dim->prod(),(T *)o0->data);
-} GRID_END
-\end class {install("cv.SVD",1,3);}
-
-\class CvSplit : CvOp1 {
- int channels;
- \constructor (int channels) {
- if (channels<0 || channels>64) RAISE("channels=%d is not in 1..64",channels);
- this->channels = channels;
- bself->noutlets_set(channels);
- }
-};
-\end class {}
-
-\class CvHaarDetectObjects : FObject {
- \attr double scale_factor; /*=1.1*/
- \attr int min_neighbors; /*=3*/
- \attr int flags; /*=0*/
- \constructor () {
- scale_factor=1.1;
- min_neighbors=3;
- flags=0;
- //cascade = cvLoadHaarClassifierCascade("<default_face_cascade>",cvSize(24,24));
- const char *filename = OPENCV_SHARE_PATH "/haarcascades/haarcascade_frontalface_alt2.xml";
- FILE *f = fopen(filename,"r");
- if (!f) RAISE("error opening %s: %s",filename,strerror(errno));
- fclose(f);
- cascade = (CvHaarClassifierCascade *)cvLoad(filename,0,0,0);
- int s = cvGetErrStatus();
- post("cascade=%p, cvGetErrStatus=%d cvErrorStr=%s",cascade,s,cvErrorStr(s));
- //cascade = cvLoadHaarClassifierCascade(OPENCV_SHARE_PATH "/data/haarcascades/haarcascade_frontalface_alt2.xml",cvSize(24,24));
- storage = cvCreateMemStorage(0);
- }
- CvHaarClassifierCascade *cascade;
- CvMemStorage *storage;
- \grin 0
-};
-GRID_INLET(CvHaarDetectObjects,0) {
- in->set_chunk(0);
-} GRID_FLOW {
- PtrGrid l = new Grid(in->dim,(T *)data);
- IplImage *img = cvImageGrid(l);
- CvSeq *ret = cvHaarDetectObjects(img,cascade,storage,scale_factor,min_neighbors,flags);
- int n = ret ? ret->total : 0;
- out = new GridOutlet(this,0,new Dim(n,2,2));
- for (int i=0; i<n; i++) {
- CvRect *r = (CvRect *)cvGetSeqElem(ret,i);
- int32 duh[] = {r->y,r->x,r->y+r->height,r->x+r->width};
- out->send(4,duh);
- }
-} GRID_END
-\end class {install("cv.HaarDetectObjects",2,1);}
-
-\class CvKalmanWrapper : CvOp1 {
- CvKalman *kal;
- \constructor (int dynam_params, int measure_params, int control_params=0) {
- kal = cvCreateKalman(dynam_params,measure_params,control_params);
- }
- ~CvKalmanWrapper () {if (kal) cvReleaseKalman(&kal);}
- \decl void _0_bang ();
- \grin 0
- \grin 1
-};
-
-void cvMatSend(const CvMat *self, FObject *obj, int outno) {
- int m = self->rows;
- int n = self->cols;
- int e = CV_MAT_TYPE(cvGetElemType(self));
- int c = CV_MAT_CN( cvGetElemType(self));
- GridOutlet *out = new GridOutlet(obj,0,new Dim(m,n));
- for (int i=0; i<m; i++) {
- uchar *meuh = cvPtr2D(self,i,0,0);
- switch (e) {
- case CV_8U: out->send(c*n, (uint8 *)meuh); break;
- case CV_16S: out->send(c*n, (int16 *)meuh); break;
- case CV_32S: out->send(c*n, (int32 *)meuh); break;
- case CV_32F: out->send(c*n,(float32 *)meuh); break;
- case CV_64F: out->send(c*n,(float64 *)meuh); break;
- }
- }
-}
-
-\def void _0_bang () {
- const CvMat *r = cvKalmanPredict(kal,0);
- cvMatSend(r,this,0);
-}
-
-GRID_INLET(CvKalmanWrapper,0) {
- in->set_chunk(0);
-} GRID_FLOW {
- PtrGrid l = new Grid(in->dim,(T *)data);
- CvMat *a = (CvMat *)cvGrid(l,mode,2);
- const CvMat *r = cvKalmanPredict(kal,a);
- cvMatSend(r,this,0);
-} GRID_END
-
-GRID_INLET(CvKalmanWrapper,1) {
- in->set_chunk(0);
-} GRID_FLOW {
- PtrGrid l = new Grid(in->dim,(T *)data);
- CvMat *a = (CvMat *)cvGrid(l,mode,2);
- const CvMat* r = cvKalmanCorrect(kal,a);
- cvMatSend(r,this,0);
-} GRID_END
-\end class {install("cv.Kalman",2,1);}
-
-//\class CvEllipse : FObject {
-// \grin 0
-//};
-//GRID_INLET(CvEllipse,0) {
-// in->set_chunk(0);
-//} GRID_FLOW {
-//} GRID_END
-//\end class {install("cv.Ellipse",1,1);}
-
-/*
-void cvEllipse( CvArr* img, CvPoint center, CvSize axes, double angle,
- double start_angle, double end_angle, CvScalar color,
- int thickness=1, int line_type=8, int shift=0 );
-CvSeq* cvApproxPoly( const void* src_seq, int header_size, CvMemStorage* storage,
- int method, double parameter, int parameter2=0 );
-void cvCalcOpticalFlowHS( const CvArr* prev, const CvArr* curr, int use_previous,
- CvArr* velx, CvArr* vely, double lambda,
- CvTermCriteria criteria );
-void cvCalcOpticalFlowLK( const CvArr* prev, const CvArr* curr, CvSize win_size,
- CvArr* velx, CvArr* vely );
-void cvCalcOpticalFlowBM( const CvArr* prev, const CvArr* curr, CvSize block_size,
- CvSize shift_size, CvSize max_range, int use_previous,
- CvArr* velx, CvArr* vely );
-void cvCalcOpticalFlowPyrLK( const CvArr* prev, const CvArr* curr, CvArr* prev_pyr, CvArr* curr_pyr,
- const CvPoint2D32f* prev_features, CvPoint2D32f* curr_features,
- int count, CvSize win_size, int level, char* status,
- float* track_error, CvTermCriteria criteria, int flags );
-void cvCalcBackProject( IplImage** image, CvArr* back_project, const CvHistogram* hist );
-void cvCalcHist( IplImage** image, CvHistogram* hist, int accumulate=0, const CvArr* mask=NULL );
-CvHistogram* cvCreateHist( int dims, int* sizes, int type, float** ranges=NULL, int uniform=1 );
-void cvSnakeImage( const IplImage* image, CvPoint* points, int length,
- float* alpha, float* beta, float* gamma, int coeff_usage,
- CvSize win, CvTermCriteria criteria, int calc_gradient=1 );
-int cvMeanShift( const CvArr* prob_image, CvRect window, CvTermCriteria criteria, CvConnectedComp* comp );
-int cvCamShift( const CvArr* prob_image, CvRect window, CvTermCriteria criteria, CvConnectedComp* comp, CvBox2D* box=NULL );
-*/
-
-/* **************************************************************** */
-
-static int erreur_handleur (int status, const char* func_name, const char* err_msg, const char* file_name, int line, void *userdata) {
- cvSetErrStatus(CV_StsOk);
- // we might be looking for trouble because we don't know whether OpenCV is throw-proof.
- RAISE("OpenCV error: status='%s' func_name=%s err_msg=\"%s\" file_name=%s line=%d",cvErrorStr(status),func_name,err_msg,file_name,line);
- // if this breaks OpenCV, then we will have to use post() or a custom hybrid of post() and RAISE() that does not cause a
- // longjmp when any OpenCV functions are on the stack.
- return 0;
-}
-
-void startup_opencv() {
- /* CvErrorCallback z = */ cvRedirectError(erreur_handleur);
- \startall
-}
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