3 ms·
TensorFlow Lite with SSDLite-MobileNet gets you around 4 fps on a Raspberry Pi 4 (23 fps with a Coral USB Accelerator): https://github.com/EdjeElectronics/Tenso
by reichardt 6y ago
TensorFlow Lite with SSDLite-MobileNet gets you around 4 fps on a Raspberry Pi 4 (23 fps with a Coral USB Accelerator): https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md https://github.com/EdjeElectronics/TensorFlow-Lite-Object-De...
- scottlamb 6y agoYou should be able to do a lot better than that if you're careful with the software. As I mentioned in another comment, the Coral USB Accelerator can do at least 100 fps. I haven't looked closely at that link, but likely they're doing H.264 decoding in software using one thread, then downsampling in software using one thread, then waiting for the Coral USB accelerator, and repeating. Maybe they also have the accelerator plugged into a USB 2.0 port rather than a USB 3.0 port. The better approach is to use threading to keep all the Pi's cores busy and the USB accelerator busy at the same time, and to use hardware acceleration.