Train Yolov9 object detection custom data in the cloud GPU in EC2 AWS | Computer vision tutorial

  Рет қаралды 1,950

Computer vision engineer

2 ай бұрын

Code: github.com/computervisioneng/train-yolov9-object-detection-ec2-gpu
🎬 Timestamps ⏱️
0:00 Intro
0:36 Yolov9 repository and my fork
1:25 Launch EC2 instance
11:52 Train model
19:56 Results
26:29 Outro
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#computervision #yolo #yolov9 #python #objectdetection

Пікірлер: 16
@ComputerVisionEngineer
@ComputerVisionEngineer 2 ай бұрын
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@karimmerchaoui9736
@karimmerchaoui9736 2 ай бұрын
Great video !
@nithinpb7042
@nithinpb7042 Ай бұрын
After training a model how can we extract data from a result?? Like i want to extract the "class names" from my result. In yolov8, they had documentations about these, but i couldn't find these for Yolo v9. Im a college student it would be great if u could help.
@kierantaylor__
@kierantaylor__ 2 ай бұрын
Hey Felipe! I love your videos. Have you considered making a video about integrating a yolo model with a front end UI?
@ComputerVisionEngineer
@ComputerVisionEngineer 2 ай бұрын
Hey thank you for your support! Do you mean applying a yolo model to a video stream that is displayed live on a web ui?
@kierantaylor__
@kierantaylor__ 2 ай бұрын
That would be interesting to see, or the UI imports video/image files that are ran through the model and displayed.
@kingsblognetwork731
@kingsblognetwork731 2 ай бұрын
Hi Felipe ,Great videos you have here. I am a fan. Can you create a detailed video on real time number plate detection using Yolo ?
@ComputerVisionEngineer
@ComputerVisionEngineer 2 ай бұрын
Hi, I made a couple of videos about license plate detection using yolov8, I could make other similar tutorials in the future. What aspect of the real time number plate detection would you like to see in greater detail?
@luismiguelpinangogutierrez9342
@luismiguelpinangogutierrez9342 2 ай бұрын
Hey, Felipe, great video! Is it possible to send a video streaming from a camera directly to EC2 to be processed and detect the objects? I am working in a raspberry pi project, but considering YOLO will consume a lot of resources I am not sure if it will handle the detection properly, so I was thinking on rely the processing on EC2.
@ComputerVisionEngineer
@ComputerVisionEngineer Ай бұрын
Hi, yes can use opencv from an EC2 instance to receive the video stream, alternatively you can stream and receive the video stream using kinesis video streams.
@user-cw5ky8po4f
@user-cw5ky8po4f 2 ай бұрын
Hello felipe, i just want to say thank you for your amazing tutorials. I am currently taking a school project about computer vision. I just want to hear your thoughts. I want to try to create a project about detecting motorcyclists' posture and classify whether he or she is indeed riding a motorcycle. Then, after classifying the rider, it will detect whether he or she is wearing a helmet. What tools do you think i should be using? Thank you for answering.
@ComputerVisionEngineer
@ComputerVisionEngineer 2 ай бұрын
You could use yolov8 pose for the pose detection and train a custom object detector to detect helmets.
@user-cw5ky8po4f
@user-cw5ky8po4f 2 ай бұрын
​@@ComputerVisionEngineeri was wondering, after classifying a rider posture using yolov8 pose estimator, can i use the output of the pose estimator module as an input for yolov8 helmet detection? Im really sorry if i may sound dumb, im new to computer vision. Anyway, thank you so much for your feedback and continue to be awesome!!!
@pivot3india
@pivot3india 2 ай бұрын
is there any automated way to label the data ?
@ComputerVisionEngineer
@ComputerVisionEngineer 2 ай бұрын
There are 'automated ways' to label the data, but it depends on your project and the categories you would like to detect. What objects are your trying to detect?
@jordanchung4902
@jordanchung4902 2 ай бұрын
Hello Felipe! I just wanted to let you know your a cutie
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