วีดีโอ

On which device you are doing this experiment. and how much fps can I get if I run it on a embedded device like raspberry pi 4B.

Great work! I have finally got my OV7670 to work. Thank you.

😂😂😂😂😂😂😂

project source, implementations , can we see them ?

hi, I use the STM32f030nucleo card I do not have the DCMI interface in my card, I use your code, I did not know how I am going to replace the two StartCap and STOP cap functions (I thought that maybe I'm going to send a command but I don't know) do you have an idea how I'm going to do these two functions?

insane

Great project. Can you share which pins are soldered directly to the MCU to use USART2 directly.

Disappointing, I thought you are using micropython since most people with PICOs use micropython, but thanks for sharing the code.

Can you provide the detailed schematic to connect STM32 and OV7670, ILI9341

bro i need that code

Peak engineering humor here

This project is great. Congratulations! This is very interesting.

Could you please explain how to connect a mic to raspberry-pi

hello there, have you tried to capture images or video with two cameras at the same time with the stm32? I am trying to make a stereographic vision project and I would like to know if I can preprocess the images to reduce the load on the main processor, greetings, and your project is great.

相当な、実力。

if image data could be stored in the STM32's RAM AND there is enough memory for that, what would JPEG encoding be like for still image capture?

from where i can get the code?

どのTensorrtのバージョンで動作するのでしょうか？　windows10・GeForce RTX 3060 Ti　visual studio 2019を使用しております。createNetworkV2でERRORがでます。

thats ....fast ...like i mean the fms looks good ... great work btw man

I'm new to both Raspberry & ML 1. Where you running the ML model (like locally on pico OR on any Server) 2.which programming did you used for the model (like python OR micro-python itself) 3. I've no idea about Tiny-ML, will i able to make model on images dataset

How to connect in android?

Ok GOOGLE in female voice.... 😂🤣😂🤣😂

display model?

Wow ~! this is very cool:)

全く認識出来ていません。

Excellent work. May i some question for you?

please make the android version, just like what you did with hybridnets

Could you please check your code for releasing tensorrt resource? After ImageProcessor::Finalize(), there is some error or exception in your code.Thank you for your good code.

Thank you very much ....

Which model is this?

Is this the fastest available cnn?

That prediction time is insane

You project is awesome!!! Congratulations!!!

Great job i am student can you help me in object detection

失礼します、私は林遠といいます。 TH-camで動画を拝見させていただきました。 当社の製品「raspberry pi 4b」を使って、ビデオを制作してほしい。 こちらで無料サンプルを提供させていただきます。 御返事お待ちしております。詳しく説明させていただきます。 どうぞよろしくお願いします

実力は、計り知れない！

0:08 I died

相当の、実力

Have y compared speed of tflite with pytorch ? I run v5 with pytorch, its speed is x2 than onnx (cuda) with opencv :(

Nice! Did you write this yourself or is it a library that one can use?

😭😭😭😭when he used the voice

What device is this being run on?

Great Video....I could finally get the camera working thanks to you.....but LIBJPEG crashes.....any idea about that?' is FREERTOS mandatory for libjpeg?

Very good job !

Hello, thank you very much for your sharing. Would you please tell me - what is a trick in implementation for SCCB at 26:53 when using I2C?

Cool, what processor is this running on?

実力は、計り知れない！

のびのびした姿、素晴らしい♪大勢集まって猫パラダイス！

かなりの、実力？

which device is running it?