I konw the opencv API have the flag .
such as --> retval, boundingBox = cv.Tracker.update( image )
the flag is retval to find the object wehter lost .
-->Problem ONE :
but the API has a big disadvantages that it cant re-init the Tracker(in other word ,we cant init a tracker 2 times ).
And I need the function (re-init ),so i must use the kcf (joaofaro/KCFcpp),this code has the function ,we can init the Tracker many times.
-->Problem TWO :
so can you give me some advice for how to use the peak_value (just like use the flag in opencv API )?
-->Problem THREE :
uoip/KCFcpp-py-wrapper
I use the python kcf wrappered from c++ kcf ( joao .f).
do you have any good ideas about how can I find the target wether lost?
I konw the opencv API have the flag . such as --> retval, boundingBox = cv.Tracker.update( image ) the flag is retval to find the object wehter lost .
-->Problem ONE : but the API has a big disadvantages that it cant re-init the Tracker(in other word ,we cant init a tracker 2 times ). And I need the function (re-init ),so i must use the kcf (joaofaro/KCFcpp),this code has the function ,we can init the Tracker many times.
-->Problem TWO : so can you give me some advice for how to use the peak_value (just like use the flag in opencv API )?
-->Problem THREE : uoip/KCFcpp-py-wrapper I use the python kcf wrappered from c++ kcf ( joao .f). do you have any good ideas about how can I find the target wether lost?