GENX320 maximum streaming frequency

[dec]

Hi,
I’m using a GENX320 event camera sensor and a RT1062 board. I got some questions and want to get some comments:
(1) I set the frame rate to be 200fps - sensor.set_framerate(200), but the real fps is around 160fps - print(clock.fps()). And setting framerate to higher numbers won’t further increase the real frame rate.
I used the firmware shared in this topic

USB streaming frequency of RT1062 with Genx320 event camera

Thanks for the nice products. What I am using is the Genx320 event camera with RT1062 board. From the IDE, I can set the frequency to 200FPS, and I saw the streaming frequency for USB is about 18FPS from the downright corner of IDE. When I run pyopenmv_fb.py in my linux PC, the receiving frequency if also 18FPS which should be correct. However, this is contrary to our purpose of using the event camera: we would rather use the high refresh rate feature of the event frame. I know this is limited …

(2) Can I get higher fps using other boards?
(3) I modified the firmware to fetch the event raw data by setting "OMV_GENX320_EHC_ENABLE " to be “0”. I’m wondering what is the integral time for each pixel? Which saving file type should I choose after recording in the IDE if I want to get the event value (x,y,t)?
Many thanks

[kwagyeman]

Hi, yes, the H7 Plus can go higher than the RT1062 at the moment.

(3) I modified the firmware to fetch the event raw data by setting "OMV_GENX320_EHC_ENABLE " to be “0”. I’m wondering what is the integral time for each pixel? Which saving file type should I choose after recording in the IDE if I want to get the event value (x,y,t)?

When you turn off OMV_GENX320_EHC_ENABLE then there’s no integral time for a pixel. You are just getting events as they come from the camera. Any increase or decrease in charge generates an event.

We purposely don’t use this mode as it is very difficult to handle the shear number of events. Histogram mode with a fixed integration time is much more usable. You get a fixed 320x320 image that is captured via hardware and is ready to use with very little processor overhead.