use ansi escape sequence vt100 ESC[H ESC[J to clear screen in a portable way (win10+ supported!) (#8834)

src/art.c

@@ -40,8 +40,7 @@ void demo_art(char *cfgfile, char *weightfile, int cam_index)
 
         float *p = network_predict(net, in_s.data);
 
-        printf("\033[2J");
+        printf("\033[H\033[J");
-        printf("\033[1;1H");
 
         float score = 0;
         for(i = 0; i < n; ++i){

src/classifier.c

@@ -1129,11 +1129,8 @@ void threat_classifier(char *datacfg, char *cfgfile, char *weightfile, int cam_i
         sprintf(buff, "tmp/threat_%06d", count);
         //save_image(out, buff);
 
-#ifndef _WIN32
+        printf("\033[H\033[J");
-        printf("\033[2J");
+        printf("\nFPS:%.0f\n", fps);
-        printf("\033[1;1H");
-#endif
-        printf("\nFPS:%.0f\n",fps);
 
         for(i = 0; i < top; ++i){
             int index = indexes[i];
@@ -1208,8 +1205,7 @@ void gun_classifier(char *datacfg, char *cfgfile, char *weightfile, int cam_inde
         float *predictions = network_predict(net, in_s.data);
         top_predictions(net, top, indexes);
 
-        printf("\033[2J");
+        printf("\033[H\033[J");
-        printf("\033[1;1H");
 
         int threat = 0;
         for(i = 0; i < sizeof(bad_cats)/sizeof(bad_cats[0]); ++i){
@@ -1308,11 +1304,7 @@ void demo_classifier(char *datacfg, char *cfgfile, char *weightfile, int cam_ind
         if(net.hierarchy) hierarchy_predictions(predictions, net.outputs, net.hierarchy, 1);
         top_predictions(net, top, indexes);
 
-#ifndef _WIN32
+        printf("\033[H\033[J");
-        printf("\033[2J");
-        printf("\033[1;1H");
-#endif
-
 
         if (!benchmark) {
             printf("\rFPS: %.2f  (use -benchmark command line flag for correct measurement)\n", fps);

src/demo.c

@@ -280,8 +280,7 @@ void demo(char *cfgfile, char *weightfile, float thresh, float hier_thresh, int
 
             if (l.embedding_size) set_track_id(local_dets, local_nboxes, demo_thresh, l.sim_thresh, l.track_ciou_norm, l.track_history_size, l.dets_for_track, l.dets_for_show);
 
-            //printf("\033[2J");
+            printf("\033[H\033[J");
-            //printf("\033[1;1H");
             //printf("\nFPS:%.1f\n", fps);
             printf("Objects:\n\n");
 

src/detector.c

@@ -314,14 +314,13 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
             if (mean_average_precision > 0) printf("\n Last accuracy mAP@%0.2f = %2.2f %%, best = %2.2f %% ", iou_thresh, mean_average_precision * 100, best_map * 100);
         }
 
-        #ifndef WIN32
+        printf("\033[H\033[J");
         if (mean_average_precision > 0.0) {
-            printf("\033]2;%d/%d: loss=%0.1f map=%0.2f best=%0.2f hours left=%0.1f\007", iteration, net.max_batches, loss, mean_average_precision, best_map, avg_time);
+            printf("%d/%d: loss=%0.1f map=%0.2f best=%0.2f hours left=%0.1f\007", iteration, net.max_batches, loss, mean_average_precision, best_map, avg_time);
         }
         else {
-            printf("\033]2;%d/%d: loss=%0.1f hours left=%0.1f\007", iteration, net.max_batches, loss, avg_time);
+            printf("%d/%d: loss=%0.1f hours left=%0.1f\007", iteration, net.max_batches, loss, avg_time);
         }
-        #endif
 
         if (net.cudnn_half) {
             if (iteration < net.burn_in * 3) fprintf(stderr, "\n Tensor Cores are disabled until the first %d iterations are reached.\n", 3 * net.burn_in);