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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>
19 lines
459 B
Markdown
19 lines
459 B
Markdown
# nn Module
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Ultralytics nn module contains 3 main components:
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1. **AutoBackend**: A module that can run inference on all popular model formats
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2. **BaseModel**: `BaseModel` class defines the operations supported by tasks like Detection and Segmentation
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3. **modules**: Optimized and reusable neural network blocks built on PyTorch.
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## AutoBackend
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:::ultralytics.nn.autobackend.AutoBackend
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## BaseModel
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:::ultralytics.nn.tasks.BaseModel
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## Modules
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TODO |