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86 lines
3.1 KiB
86 lines
3.1 KiB
If you want to train, validate or run inference on models and don't need to make any modifications to the code, using
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YOLO command line interface is the easiest way to get started.
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!!! tip "Syntax"
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```bash
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yolo task=detect mode=train model=yolov8n.yaml args...
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classify predict yolov8n-cls.yaml args...
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segment val yolov8n-seg.yaml args...
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export yolov8n.pt format=onnx args...
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```
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The default arguments can be overridden directly by passing custom `arg=val` covered in the next section. You can run
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any supported task by setting `task` and `mode` in CLI.
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=== "Training"
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| | `task` | snippet |
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|------------------|------------|------------------------------------------------------------|
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| Detection | `detect` | <pre><code>yolo detect train </code></pre> |
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| Instance Segment | `segment` | <pre><code>yolo segment train </code></pre> |
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| Classification | `classify` | <pre><code>yolo classify train </code></pre> |
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=== "Prediction"
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| | `task` | snippet |
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|------------------|------------|--------------------------------------------------------------|
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| Detection | `detect` | <pre><code>yolo detect predict </code></pre> |
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| Instance Segment | `segment` | <pre><code>yolo segment predict </code></pre> |
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| Classification | `classify` | <pre><code>yolo classify predict </code></pre> |
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=== "Validation"
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| | `task` | snippet |
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|------------------|------------|-----------------------------------------------------------|
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| Detection | `detect` | <pre><code>yolo detect val </code></pre> |
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| Instance Segment | `segment` | <pre><code>yolo segment val </code></pre> |
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| Classification | `classify` | <pre><code>yolo classify val </code></pre> |
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!!! note ""
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<b>Note:</b> The arguments don't require `'--'` prefix. These are reserved for special commands covered later
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---
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## Overriding default config arguments
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Default arguments can be overriden by simply passing them as arguments in the CLI.
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!!! tip ""
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=== "Syntax"
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```bash
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yolo task mode arg=val...
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```
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=== "Example"
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Perform detection training for `10 epochs` with `learning_rate` of `0.01`
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```bash
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yolo detect train epochs=10 lr0=0.01
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```
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---
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## Overriding default config file
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You can override config file entirely by passing a new file. You can create a copy of default config file in your
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current working dir as follows:
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```bash
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yolo copy-config
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```
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You can then use `cfg=default_copy.yaml` command to pass the new config file along with any addition args:
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```bash
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yolo cfg=default_copy.yaml args...
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```
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??? example
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=== "Command"
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```bash
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yolo copy-config
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yolo cfg=default_copy.yaml args...
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```
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