Running Yolo on Jetson Nano and Raspberry Pi Camera

Показать описание

in this video ill demonstrate the performance of the object detection demo application in darknet running both YoloV3 220x220 and Tiny-Yolo, the video also shows an unboxing of the nvidia jetson nano developer kit and guides you how to startup jetson nano with raspberry pi camera connected to it and run darknet demos through the rpi camera.

below useful links to address some of the troubles that you may go through when doing the first time setup following this video guide

nvcc not found error:
desktop sharing/vnc server error:

also below github repository will be updated to have all useful commands for jetson nano:

Thanks for watching this video!

Рекомендации по теме

Комментарии

Nice demo, I just tried to play with my Jetson nano. Thank you for the video it allows me to understand why I couldn't make it work with Yolo3

winnieaswin

Really helpful guide, subbed!
Hoping to see some more interesting tutorials for Jetson Nano.

alidollar

Hey thanks a ton man. You saved me. Thanks a lot. Great video.

krishnar

Hey, I get the error "Video-stream stopped!" when trying to run the command, is there any solution to that?

mov

Great video. It helped me to set up the Nano perfectly. Can you tell me where I can find a complete list of parameters accepted by the darknet detector?

alemazzuca

Is it possible to connect two RPI cameras to Jetspn Nano?

ukaszUngier

Hey, can i please have any way to communicate with you. I have some questions and we can talk about them. Thank you

qaisjoker

Thanks for the video. Can you use vnc whit Yolo now?

oooo

It running YoloV3 will result low fps... recommend to use tiny Yolo instead

kenli

hello, I need help, when I start the command from @t my Jetson Nano ubuntu crushing down

hameedh

Hi,

When I try a simple "./darknet detector demo" with yolov3-tiny, I get 3 warnings telling me about cap_gstreamer.cpp :
-module v4l2src0 reported : internalt data stream error
-unable to start pipeline
-pipelin have not been created

then a million lines of :
VIDIOC_QBUF: Invalid argument.

I tried your command line but it doesn't work either, I get that the stream stopped, like it was not connected.

Can you help me?

Is there something I have to look for or change in the code of darknet?

Sincerely,

yolo-lacacahuete

So slow I though the jetson nano would do better than 2 to 4 FPS on yolo

TheNikolaschoulakis

Running Yolo on Jetson Nano and Raspberry Pi Camera

YOLO V3 – Install and run Yolo on Nvidia Jetson Nano (with GPU)

Object Detection with Yolov8 using Jetson Nano

Running Yolo on Jetson Nano and Raspberry Pi Camera

YOLOv8 on Jetson Nano Using DeepStream

Running YoloV5 with TensorRT Engine on Jetson Nano | Rocket Systems

Running Custom YoloV5 TensorRT engine on Jetson Nano | Rocket Systems

Object tracking with YOLOv8 using Jetson Nano

YOLOv9 on Jetson Nano

YOLOv7 Object Detection on Jetson Nano

Object Recognition with Jetson Orin Nano using YOLOv8 and RealSense

R1mini Jetson nano runs YOLO

Object detection with Jetson Nano using YOLOv7 and RealSense

YoloV7 TensorRT on Jetson Nano | Rocket Systems

Real-Time Object Detection in 10 Lines of Python Code on Jetson Nano

Comparing YOLOv8 on a Raspberry Pi 3, Raspberry Pi 4, and a Jetson Nano (CPU)

Object Detection YoloV5 TensorRT on Jetson Nano | Rocket Systems

Deploying Tiny YOLOv2 ONNX model on Jetson Nano using DeepStream

Jetson Orin Nano: Demo of detecting objects from a video

L-5 YOLOv5 on Jetson Nano | PyTorch & TorchVision Installation on Jetson Nano

YOLOv8 Comparison with Latest YOLO models

ODHUB Tutorial: Deploying Object Detection Model To Jetson Nano Device

【AI Computer】【Deep Learning】YOLOv5n Inference with TensorRT on Jetson Nano

Ultralytics Live Session 6: Deploy YOLOv8 on NVIDIA Jetson Edge Device

Multi object tracking with Jetson Nano using YOLOv5 and RealSense