Comments (4)
No GPU based library available on Raspberry Pi 3 for now, so it's CPU only.
One frame would cost 4-8s.
from raspberrypi-facedetection-mtcnn-caffe-with-motion.
您好,请问在树莓派上边运行速度怎么提高?我目前遇到了这方面的问题,想请教一下您?
from raspberrypi-facedetection-mtcnn-caffe-with-motion.
@aureosun If you are using Tensorflow, you can try to quantize the module. A how to
from raspberrypi-facedetection-mtcnn-caffe-with-motion.
@solderzzc
4-8s based on which image resolution?
is it possible to use GPU of Raspberry Pi?
I looked into Model Quantization, but couldn't manage to implement it on this current code.
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