Mastering Ultralytics YOLOv8: CLI & Python Usage and Live Inference | Episode 14

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Step up your AI game with Episode 14 of our Ultralytics YOLO series! 🚀 Master the art of using Ultralytics as we guide you through both Command Line Interface (CLI) and Python approaches. Perfect your training, validation, and prediction processes with our in-depth explanations.

What you'll learn:
✅ CLI Usage: Get comfortable with CLI to streamline your machine learning tasks.
✅ Python Proficiency: Discover the flexibility of Python for running code, leveraging callbacks, and tweaking configurations to your liking.
✅ Live Inference & Predictions: See how to make predictions and perform live inference, even using your webcam as a source.

Whether you're a beginner or looking to refine your skills, this episode is your gateway to becoming an Ultralytics pro! Don't forget to check out the Ultralytics documentation for all the details you need. 🚀

🌟YOLO Vision 2024 (YV24), our annual hybrid Vision AI event is just days away! Happening on 27th September 2024 at Google for Startups Campus, Madrid.! Watch live on:

Dive deeper with our resources:

Join us in shaping a smarter, more sustainable future with the power of visual AI. Like, subscribe, and explore more below!

#UltralyticsYOLO #MachineLearning #AIDevelopment #ComputerVision #YOLOv8 #Python #CLI #LiveInference
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Loving the series so far! Quick question: for those of us working on real-time applications, how well does YOLOv8 handle lower-resource environments (like Raspberry Pi)? Also, any tips on keeping performance smooth without too many trade-offs?

Smitthy-kd
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Why it shows that results has been saved to runs/detect/predict? In my installation it doesn't save any results anywhere on disk. Have you reconfigured something or what? I don't see you specify any extra command line keys for yolo CLI, but for some reasons it DOES save annotated images.

Also, why CLI doesn't have a key to choose output format from human-readable to something computer-friendly (like JSON)?

toxanbi
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Fascinating tutorial! I’m curious about the live inference via webcam—how might privacy concerns or ethical considerations come into play when using YOLOv8 in real-time environments? Does the tech provide any built-in safeguards or best practices for responsibly managing this kind of data?

LunaStargazer-vs
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Entre a batida do CLI e o solo do Python, qual a melhor ferramenta pra quem quer ir além do básico e tocar de ouvido com live inference? Será que a combinação com webcam tem a música certa para aplicativos de segurança prática ou estamos apenas dançando conforme a hype?

Meloia
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Could Ultralytics YOLOv8 handle real-time video analytics for unexpected scenarios, like detecting something bizarre or out of place, say a cat wearing a hat? How would you handle potential false positives in such unusual cases?

m
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I am wondering in which directory can I put the test.py doc you mentioned in the video? thanks

jacquelineli
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There is one big thing missing, how do you install the CLI tool? It says I do not need Python to use it, so how do I install the CLI tool?. Thanks in advance :)

AndrewTSq
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My live inference via rtsp is a bit laggy. Any way I can fix the bit rate?

bladedance
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way too fast, too shallow, pretty much useless video

pgrvloik
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Yeah wayyy too fast, saying a lot of words I don't understand and never heard before, no examples

NolenFelten
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I'm sorry, but I can't watch the rest of this video, the way you keep talking is unbearable.

davidbrooks