How to run neural networks on RockChip in 2025 (rknn-toolkit, rknn model zoo, rkllm).

[@andreyl2705]

awesome)

[@AlexanderDhoore]

Anton, living in the future :)

[@AntonMaltsev]

:D

[@teodorchaly184]

Interesting video! I watch almost every video on your chanel. I wanted to ask for some advice: I’m planning to create a UA-cam channel and wanted to know how to create timestamps for videos. Is it done manually or is there a way to automate the process?

[@AntonMaltsev]

Hi, Teodor!
I am doing this myself, but I think Gemini can easily do this - cloud.google.com/vertex-ai/generative-ai/docs/samples/generativeaionvertexai-gemini-video-with-audio

[@teodorchaly184]

@@AntonMaltsev O, thank you. You really helped me) But i think gemini summarize video in general, but didn t make timestempts:(

[@AntonMaltsev]

@@teodorchaly184 it definitely can. We once tested this in one project.

[@Alexnirvan77]

Anton, have you tried to run inference on different NPU cores? (Im having an issue with it, inference works only while using core 0). Also, is there an option to run inference on all 3 cores?

[@AntonMaltsev]

On Friendly Elec 3588, Mekotronics 3576, Orange 3588 and Rock 3588 I tested it. It was sucessfully worked.

[@littleyogi3341]

what challanges we can achive with rk3588??

[@AntonMaltsev]

all of them!

[@vivekranjan2947]

Hi Anton. I tried running my converted RKNN model on my rk3588 board but am getting an error that the .RKNN model is either formatted wrong or is or corrupt. Can you plz send me your converted model ' yolov8n.rknn' so that I can check my inference.

[@AntonMaltsev]

You need convert on corresponding version of RKNPU SDK, rknn-toolkit + export for correct architecture. A random model will not help you.