Can any one share the information on compatibility of NCS2 stick with Raspberry Pi 4? I am looking to start a new prototyping with Raspberry Pi 4.
Thanks for reaching out! The Intel Neural Compute Stick 2 has only been validated on the Raspberry Pi 3. We are currently working on adding support for the Raspberry Pi 4 but I don't have an ETA.
However, take a look at the following discussion where a user has instructions for using the Intel NCS 2 with the Raspberry Pi 4. I've not test this myself so it may or may not work.
Hope this helps!
Any progress on the NCS2 , Pi 4 validation?
Yes, we actually posted instructions to setup the Raspberry Pi 4 with the Intel Neural Compute Stick 2. Give it a try!
So far no go. From a fresh install after waiting hours for a compile for the first part OpenCV failed to make and install correctly. The test failed.
And did you notice this was for Arm7 ? Pi 4 is Arm8 https://software.intel.com/en-us/articles/ARM-sbc-and-NCS2
hoping for an update soon.
The instructions I provided above are for building the open-sourced version of the OpenVINO toolkit and should work on both the Raspberry Pi 3 and 4. The instructions are for Armv7, however, Raspbian is built for Armv7 to maintain compatibility. I will go though the built process with my Raspberry Pi 4 today and get back to you.
By the way, the OpenVINO toolkit also has a Raspbian OS package that was pre-built with 2019 R2. If you don't want to build from source, you can download the package below and follow the Install OpenVINO™ toolkit for Raspbian* OS documentation.
Hi Jesus - Do you have any performance benchmarks for the RPi4 and NCS2? We are running a portable object counting solution (counting pigs) using an Atomic Pi and NCS2 and SSD model. Ideally we'd like to run an R-CNN for better accuracy but the fps have been far too low with the Atomic Pi. Any insights would be great.
Thanks - Jim
You should be able to run the benchmark app included in the OpenVINO toolkit with your model. Take a look at the the benchmark app documentation: https://docs.openvinotoolkit.org/latest/_inference_engine_samples_benchm...