How to implement instance segmentation using YOLOv8 neural network

• yolov8_onnx_python

  2 11 4.0 Python

  YOLOv8 inference using Python

Most of the code will be reused from the previous project, that you can find in GitHub.

• yolov8_segmentation_python

  1 19 5.3 Jupyter Notebook

  YOLOv8 image segmentation through ONNX in Python

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• ultralytics

  27 23,223 9.8 Python

  NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

  

If you compare the produced masks from Ultralytics API and from ONNX API, you'll probably find that ONNX example returns masks with lower quality. This is because we used only basic input image processing, before passing it to the neural network. The Ultralytics .predict function implements much more image preprocessing steps. As an additional practice, you can open and learn the source code of the "predict" function to understand, which filters and transformations it applies to the input image. Then you can try to implement them on your own for ONNX inference and see the difference.

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