What kinds of framerates are people seeing on the Raspberry Pi 4 with the object detection model (MobileNetV2-SSD FPN)? I trained it to look for my dog, his tug toy, and a ball. I’m getting ~1.8 FPS. Is this similar to what other folks are getting without any sort of acceleration (e.g. Google Coral)?
I have seen others approach 4 FPS using a quantized (TFLite) MobileNetV1-SSD (https://youtu.be/aimSGOAUI8Y?t=24) Is a MobileNetV2 backbone that much slower, or are there other settings I can configure to speed things up on the Pi?