The fastest way to build any computer vision project

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Pysource

Pysource

Күн бұрын

Пікірлер: 13
@mouhsinebenmbarek1978
@mouhsinebenmbarek1978 14 күн бұрын
Your videos are awesome man! I would love to see how you go through the steps of using a YOLO model and train it woth your own data. Cheers!
@mutzelmann
@mutzelmann Ай бұрын
I like your videos so much. I wish a video from you to show a Project, how can we train a model with little thing like table tennis balls. They are little and move fast. Which technics is the best for this kind of types?
@pysource-com
@pysource-com Ай бұрын
Noted for future videos. There are a few factors to take into account: the camera, algorithms and techniques to handle small objects.
@jetsonrocket
@jetsonrocket Ай бұрын
Hi Sergio, are you teaching how to optimize models for hardwares (jetson, rasperry..) in your academy ?
@pysource-com
@pysource-com 25 күн бұрын
Hi, not yet at the moment. We are focusing mostly on the build of AI vision projects from scratch.
@francycharuto
@francycharuto Ай бұрын
Cool content!
@pysource-com
@pysource-com Ай бұрын
Thank you
@kochi_58_saketbhavsar54
@kochi_58_saketbhavsar54 Ай бұрын
like ur videos, & yes let's do 1 video for object detection tracking and prediction ❤
@tahiboi6741
@tahiboi6741 Ай бұрын
can u do a whole project?? like a whole outline. not a complex project but yes it will be very appreciated if u could 😁
@pysource-com
@pysource-com Ай бұрын
I'm planning to do and show some entire project. Have you got any specific idea in mind?
@hugoleonardo1394
@hugoleonardo1394 Ай бұрын
Hello, how are you? Congratulations on the videos, I would like to know if you will teach how to do the image training from the beginning, I would like to thank you in advance. Please teach from the beginning to the end, thank you in advance for a hug from BRAZIL.
@pysource-com
@pysource-com Ай бұрын
Thank you for the feedback. I have courses to train from the beginning to the end inside the Academy. on KZbin I share mostly simple computer vision coding exercises or concepts explanation. I will share more about it in following KZbin videos but I can't go too much in depth (as it requires multiple lessons and a structure)
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