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👋 Hello @Rjaat, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.
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Introducing YOLOv8 🚀
We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!
Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.
Check out our YOLOv8 Docs for details and get started with:
Hello! YOLOv5 primarily supports image formats that are natively handled by the PIL library, such as JPEG, PNG, BMP, and others. The JP2 (JPEG 2000) format isn't directly supported out-of-the-box.
However, you can easily convert JP2 images to a supported format like JPEG or PNG using libraries such as OpenCV or PIL before feeding them into the model. Here’s a quick example using PIL:
fromPILimportImage# Load JP2 imageimg=Image.open('image.jp2')
# Convert to JPEGimg.save('image.jpeg', 'JPEG')
After converting, you can then proceed with using the saved JPEG image for detection with YOLOv5. Hope this helps! 😊
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Question
I want to perform object detection on jp2 images.
Does YOLO support object detection on the said image format?
Additional
No response
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