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Browsing Tag

YOLO

4 posts
Photo by Sam Hojati on Unsplash
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  • 2.0K views
  • 5 minute read
  • Android
  • Deep Learning
  • Vision Models

Executing YOLOv8 Models on Android Using ONNX Runtime

  • ByWayne
  • 19/06/2024
Open Neural Network Exchange (ONNX) is a model format defined by several major manufacturers. ONNX Runtime is a library that can execute ONNX models. It was developed by Microsoft. It supports multiple platforms, including Android.
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Photo by Євгенія Височина on Unsplash
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  • 1.3K views
  • 4 minute read
  • Android
  • Deep Learning
  • Vision Models

Executing YOLOv8 Models on Android Using PyTorch

  • ByWayne
  • 19/06/2024
PyTorch is a machine learning library developed by Meta. YOLOv8 also uses Pytorch internally. In addition to Python environments, we can now use PyTorch in non-Python environments.
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Photo by Danielle Barnes on Unsplash
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  • 1.4K views
  • 4 minute read
  • Deep Learning
  • Vision Models

Non Maximum Suppression (NMS)

  • ByWayne
  • 29/05/2024
Non maximum suppression is a technique used in object detection to filter bounding boxes generated by object detection algorithms. If we don’t use NMS, we will get an image with dense frames.
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Photo by Paul Carroll on Unsplash
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  • 1.2K views
  • 5 minute read
  • Deep Learning
  • Vision Models

YOLOv8 Object Detection Tutorial

  • ByWayne
  • 23/05/2024
YOLO (You Only Look Once) is a popular object detection model. Its high performance and high accuracy made it popular quickly. This article will introduce how to use YOLOv8 for object detection.
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