[Raspberry Pi] Install TensorFlow Lite on Raspberry Pi 4

Build TensorFlow Lite Static Library on Raspberry Pi 4

I found a very useful resource about installing TensorFlow Lite 2.* on Raspberry Pi 4 as follows: https://qengineering.eu/install-tensorflow-2-lite-on-raspberry-pi-4.html

It's about to build TensorFlow Lite static library in version 2.4 :

# the tools needed

[Raspberry Pi] Install TensorFlow 2.2 and OpenCV 4.4.0 on Raspberry Pi 4 and use Neural Compute Stick 2

So far as we have known that Raspberry Pi 4, which is based on ARMv7 Processor rev 3 (v7l), has much more CPU computing power than previous generations. Neural Compute Stick 2(NCS 2) is a Plug and Play Development Kit for AI Inferencing via USB. Fortunately, I have both of them. Because of that, I was just wondering how to use them at the same time. The first idea coming to my mind is about AI inferencing. If we can have Tensorflow installed on it and do inferencing using NCS 2, that will be great. 

[Raspberry Pi] Use Wireless and Ethernet together

The following content is my Raspberry Pi 3's setting in /etc/network/interface as follows. In my case, I both use wireless and ethernet device at the same time.

# Include files from /etc/network/interfaces.d:
source-directory /etc/network/interfaces.d

auto lo
iface lo inet loopback

auto wlan0
allow-hotplug wlan0
iface wlan0 inet manual
    Wpa-conf /etc/wpa_supplicant/wpa_supplicant.conf

allow-hotplug eth0
iface eth0 inet static
    address 140.96.29.224
    netmask 255.255.255.0
    up ip route add 100.85.0.0/24 via 140.96.29.254 dev eth0
    up ip route add 140.96.29.0/24 via 140.96.29.254 dev eth0
    up ip route add 140.96.98.0/24 via 140.96.29.254 dev eth0

[Raspberry Pi] What job do I use my Pi to do?

I bought my Raspberry Pi last year and didn't use it often. The main reason is that I didn't figure out what job I use my Pi to do. Until several months ago, I finally made the decision: My Pi will become a torrent server...Nice.

There is a very good advantage to use Pi to act as torrent server: "low power consumption"
So, here is the steps to do:
http://www.takobear.tw/2014/12/07/rpiraspberry-pibt-2/
http://www.takobear.tw/2014/03/20/rpiraspberry-pibt/

P.S: This web site also has a lot of tutorials for Raspberry Pi, check it out: http://www.takobear.tw/category/tutorial/rpi/