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yolov10/docs/reference/nn.md
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Release 8.0.5 PR (#279) 
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Izam Mohammed <106471909+izam-mohammed@users.noreply.github.com>
Co-authored-by: Yue WANG 王跃 <92371174+yuewangg@users.noreply.github.com>
Co-authored-by: Thibaut Lucas <thibautlucas13@gmail.com>
2023-01-12 17:09:26 +01:00

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nn Module

Ultralytics nn module contains 3 main components:

  1. AutoBackend: A module that can run inference on all popular model formats
  2. BaseModel: BaseModel class defines the operations supported by tasks like Detection and Segmentation
  3. modules: Optimized and reusable neural network blocks built on PyTorch.

AutoBackend

:::ultralytics.nn.autobackend.AutoBackend

BaseModel

:::ultralytics.nn.tasks.BaseModel

Modules

TODO