Hello!
Thank you for providing the code, I am in the midst of trying to recreate the algorithm on matlab to test it since I do not have an NVIDIA gpu. My question is what is the expected range of value of the map function M? is it a probability function where it is 0 to 1 ?
$M(v) = \frac{O(v)}{N(v)}$
I observed that the values of $M(v)$ that I obtained from recreating the algorithm are not in the range of 0 to 1. Instead it has an erratic range of 0 to ~ 3 depending on the current event packet. Is this correct? since $O(v)$ is just keep tracks the number of events in that pixel and $N(v)$ is simply a normalizing function thus $O(v)$ divide by $N(v)$ should not give a range of 0 to 1 .
Hello!
Thank you for providing the code, I am in the midst of trying to recreate the algorithm on matlab to test it since I do not have an NVIDIA gpu. My question is what is the expected range of value of the map function M? is it a probability function where it is 0 to 1 ?
$M(v) = \frac{O(v)}{N(v)}$ $M(v)$ that I obtained from recreating the algorithm are not in the range of 0 to 1. Instead it has an erratic range of 0 to ~ 3 depending on the current event packet. Is this correct? since $O(v)$ is just keep tracks the number of events in that pixel and $N(v)$ is simply a normalizing function thus $O(v)$ divide by $N(v)$ should not give a range of 0 to 1 .
I observed that the values of