#N canvas 47 6 902 541 12;
#X obj 444 -2 about_fid_abs;
#N canvas 215 149 475 181 TuioClient 0;
#X text 17 26 1) Launch computer vision engine (ReacTiVision or CCV).
;
#X text 16 66 2) In Pure Data \, retrieve informations using TuioClient
external;
#X restore 44 247 pd TuioClient;
#N canvas 346 22 517 180 pix_fiducialtrack 0;
#X obj 314 22 pix_fiducialtrack;
#X obj 313 44 fid_tracker;
#X text 22 70 pix_fiducialtrack needs access to a topology description
file \, by default : all.trees;
#X text 19 115 You can connect pix_fiducialtrack to fid_preprocess
using fid_tracker object;
#X text 14 24 Look at help file for following objects;
#X restore 43 287 pd pix_fiducialtrack;
#N canvas 207 105 859 522 fid_table 0;
#X obj 17 125 fid_table;
#X text 33 100 fid_table;
#X obj 249 159 fid_tuio_simulator;
#X text 414 160 Remark : fid_tuio_simulator loads a fid_table3 abstraction
with predefined parameters;
#X text 27 10 As with java application TuioSimulator \, you can use
fid_table and fid_table3 (or fid_tuio_simulator) to simulate tuioclient
when you don't have any webcam;
#X text 4 345 You have to use them "as is".;
#X text 8 286 REMARK;
#X text 5 308 fid_table and fid_table3 are 'quick and dirty' GOP-abstractions
\, and are not documented.;
#X restore 43 327 pd fid_table;
#X obj 15 6 cnv 15 300 30 empty empty TuioClient 5 12 0 20 -211601
-66577 0;
#X obj 41 158 tuio_clients;
#X text 20 127 1) Overview;
#X text 15 213 2) instructions;
#X text 24 52 You can either use a true computervision tracking system
(like ReacTiVision / CCV) \, either use TUIO simulators;
#X obj 40 180 print fid_preprocess_inlet;
#X text 143 158 <- click here;
#X connect 5 0 9 0;
