Object Detection with Pre-trained Ultralytics YOLOv8 Model | Episode 1
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- Опубликовано: 11 июл 2023
- Welcome to the exciting world of Ultralytics YOLOv8!
In the first video of our new series, you'll join Nicolai Nielsen, as he uncovers the immense potential of the pre-trained YOLOv8 model.
In this episode, we'll introduce you to the core concepts of object detection and provide a detailed overview of the model architecture and training pipeline. You'll witness the capabilities of YOLOv8 in action as Nicolai demonstrates how it can detect and classify a wide variety of objects in real-time.
Throughout the video, we'll highlight the unique features and benefits of YOLOv8, including its accuracy, speed, and flexibility. You'll discover how this technology can help you revolutionize your data analysis and decision-making processes across a range of industries.
For more information, please visit:
Ultralytics ⚡resources
- About Us - ultralytics.com/about
- Join Our Team - ultralytics.com/work
- Ultralytics License - ultralytics.com/license
- Contact Us - ultralytics.com/contact
- Discord - ultralytics.com/discord
YOLOv8 🚀 resources
- GitHub - github.com/ultralytics/ultral...
- Docs - docs.ultralytics.com/
Hello, I just tried the exact same command in this video, however the post process time is 800ms, why does this happen? The inference time is a little longer at 85ms and pre processing time is 1.6ms
It is weird. I am testing YOLOv8 on some security camera's and am not getting a lot of results. They are still images, and not the best quality. But for instance I have a picture with a lot of bikes on it, but it is not detecting them. Only if there is a person on the image it is detected.
When I run the code I keep getting cv.2 error. The code runs for a few seconds then automatically shuts down and the pop up screen showing what my camera sees doesn't show
How to open webcam?
Hello Ultralytics in detection it's only showing the image while it's processing and after that the open cv window closes . I want to view the result of detection in an image not only while processing but after processing aswell. How can I do that
@Ultralytics What is the difference between predict and detect?
Sir we could not able to install ultralytics in visual studio code pls help
I can't install. It is so complicated.
Great video thank you! Two questions regarding using Yolov8n for object detection: 1. how are you getting different classes of objects to appear with their own bounding box color? and 2. I cannot get my Detection Threshold slider to allow me to only see high confidence objects to works on my Dash app but not Tkinter. How do I do that?
help me figure out if I decide to use YOLOv8 with pre-trained weights at work to solve computer vision problems in commercial projects, will I have to buy a commercial license from ultralitic? will I be able to use an open license without revealing the source codes of my software? My software uses a model to identify cars and pedestrians on the image in order to find traffic violations.
Thanks for the great video, dude
addition to this code what should i write to get the coordinates (without opencv )of the bounding box and print them in the terminal for live detection
great video, keep it up!
Thanks for this video series, i tried running the same code after git clone ultralytics.. and pip install ultralytics, for me it didnt show any bounding box with label and confidence, in your video you are able to see all the labels and bounding box with only 3 lines of code, can you please tell my why this is the case?
Hello Ultralytics can you tell me how can I return class probability for a object detection task.
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great stuff from ultralytics, but could you please do a video on setting up an up to date local dev env? the latest Tensorflow versions are no longer supported, so you can't follow along in a windows native shell, you have to set up a dev env in WSL2, to get gpu support
:face-blue-wide-eyes:
what is conf which u have mentioned as conf = 0.4?
The explanation was pretty good 🙂. Can I know which library ( like pytorch (or) OpenCV ) has used in VS Code for detecting objects using webcam.