Сhoosing the right NN model (speed / performance)
Object Detection on Raspberry Pi with 5-10FPS is highly unrealistic.
You can have a look at YOLO or SSD, for example YOLO has also a smaller implementation which can run on RPI but you will be happy with 1FPS.
Im beginner and this is my first steps.
Im already learning about different Neural Network architecture and i have a question:
Which model i should choice for Rasberry PI / android?
Im already tried "ResNet" with 98x98 resolution of images and that model requires almost full power of my PC. Exactly:
Model takes 2 GB of video card memory, 1.4~2 GB of RAM.
This model is not suitable for the android / Rasberry (low power).
Which model i should choice for my task?
P.S I expect at least 5~10 FPS on Rasberry and 10~15 on Android.