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https://github.com/opencv/opencv_contrib.git
synced 2025-10-17 15:26:00 +08:00
Upgrades to benchmark
Now algorithm names are overlayed with image and number of frames assessed can be given via command line (e.g. -a=100 to assess first 100 frames).
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@@ -8,7 +8,7 @@
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#include <climits>
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const int CMDLINEMAX = 30;
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const int ASSESS_TILL = INT_MAX;
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int ASSESS_TILL = INT_MAX;
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const int LINEMAX = 40;
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using namespace std;
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@@ -62,6 +62,10 @@ static void help(){
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"./tracker [<keys and args>] <video_name> <ground_truth> <algorithm1> <init_box1> <algorithm2> <init_box2> ...\n"
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<< endl;
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cout << "\n\nConsole keys: \n"
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"\t-s - save images\n"
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"\t-l=100 - assess only, say, first 100 frames\n";
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cout << "\n\nHot keys: \n"
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"\tq - quit the program\n"
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"\tp - pause video\n";
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@@ -74,8 +78,13 @@ static void parseCommandLineArgs(int argc, char** argv,char* videos[],char* gts[
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for(int i=1;i<argc;i++){
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if(argv[i][0]=='-'){
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for(int j=0;j<CMDLINEMAX;j++){
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if(!strcmp(argv[i],keys[j])){
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keys[j][0]='\0';
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char* ptr = strchr(argv[i], '=');
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if( !strncmp(argv[i], keys[j], (ptr == NULL) ? strlen(argv[i]) : (ptr-argv[i]) ) )
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{
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if( ptr == NULL )
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keys[j][0]='\0';
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else
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strcpy(keys[j], ptr+1);
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}
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}
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continue;
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@@ -293,6 +302,7 @@ static AssessmentRes assessment(char* video,char* gt_str, char* algorithms[],cha
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exit(EXIT_FAILURE);
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}
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rectangle( image, boundingBox,palette[0], 2, 1 );
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putText(image, "GROUND TRUTH", Point(1,16 + 0*14), FONT_HERSHEY_SIMPLEX, 0.5, palette[0],2);
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frameCounter++;
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for(int i=0;i<(int)trackers.size();i++){
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@@ -301,10 +311,14 @@ static AssessmentRes assessment(char* video,char* gt_str, char* algorithms[],cha
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trackerRes=trackers[i]->update( frame, initBoxes[i] );
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start=clock()-start;
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averageMillisPerFrame[i]+=1000.0*start/CLOCKS_PER_SEC;
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if(trackerRes==false){
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if( trackerRes == false )
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{
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initBoxes[i].height=initBoxes[i].width=-1.0;
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}else{
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}
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else
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{
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rectangle( image, initBoxes[i], palette[i+1], 2, 1 );
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putText(image, algorithms[i], Point(1,16 + (i+1)*14), FONT_HERSHEY_SIMPLEX, 0.5, palette[i+1],2);
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}
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for(int j=0;j<(int)res.results[i].size();j++)
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res.results[i][j]->assess(boundingBox,initBoxes[i]);
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@@ -340,15 +354,23 @@ static AssessmentRes assessment(char* video,char* gt_str, char* algorithms[],cha
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}
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int main( int argc, char** argv ){
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palette.push_back(Scalar(255,0,0));//BGR
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palette.push_back(Scalar(0,0,255));
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palette.push_back(Scalar(0,255,255));
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palette.push_back(Scalar(255,0,0));//BGR, blue
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palette.push_back(Scalar(0,0,255));//red
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palette.push_back(Scalar(0,255,255));//yellow
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palette.push_back(Scalar(255,255,0));//orange
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int vcount=0,acount=0;
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char* videos[CMDLINEMAX],*gts[CMDLINEMAX],*algorithms[CMDLINEMAX],*initBoxes[CMDLINEMAX][CMDLINEMAX];
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char keys[CMDLINEMAX][LINEMAX];
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strcpy(keys[0],"-s");
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strcpy(keys[1],"-a");
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parseCommandLineArgs(argc,argv,videos,gts,&vcount,algorithms,initBoxes,&acount,keys);
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saveImageKey=(keys[0][0]=='\0');
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if( strcmp(keys[1],"-a") != 0 )
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ASSESS_TILL = atoi(keys[1]);
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else
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ASSESS_TILL = INT_MAX;
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CV_Assert(acount<CMDLINEMAX && vcount<CMDLINEMAX);
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printf("videos and gts\n");
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@@ -365,9 +387,8 @@ int main( int argc, char** argv ){
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}
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std::vector<AssessmentRes> results;
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for(int i=0;i<vcount;i++){
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for(int i=0;i<vcount;i++)
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results.push_back(assessment(videos[i],gts[i],algorithms,((char**)initBoxes)+i,acount));
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}
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CV_Assert( (int)results[0].results[0].size() < CMDLINEMAX );
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printf("\n\n");
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@@ -379,10 +400,10 @@ int main( int argc, char** argv ){
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resultStrings[i].push_back(buf+i*CMDLINEMAX*LINEMAX + j*40);
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}
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}
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for(int i=0;i<(int)results[0].results[0].size();i++){
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for(int i=0;i<(int)results[0].results[0].size();i++)
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nameStrings.push_back(buf2+LINEMAX*i);
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}
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for(int tableCount=0;tableCount<(int)results[0].results[0].size();tableCount++){
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for(int tableCount=0;tableCount<(int)results[0].results[0].size();tableCount++)
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{
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CV_Assert(results[0].results[0][tableCount]->printName(nameStrings[tableCount])<LINEMAX);
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for(int videoCount=0;videoCount<(int)results.size();videoCount++)
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for(int algoCount=0;algoCount<(int)results[0].results.size();algoCount++){
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