ultralytics 8.0.97 confusion matrix, windows, docs updates (#2511)
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com> Co-authored-by: Dowon <ks2515@naver.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
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---
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comments: true
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description: Install and use YOLOv8 via CLI or Python. Run single-line commands or integrate with Python projects for object detection, segmentation, and classification.
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---
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## Install
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@ -32,13 +33,11 @@ See the `ultralytics` [requirements.txt](https://github.com/ultralytics/ultralyt
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<img width="800" alt="PyTorch Installation Instructions" src="https://user-images.githubusercontent.com/26833433/228650108-ab0ec98a-b328-4f40-a40d-95355e8a84e3.png">
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</a>
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## Use with CLI
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The YOLO command line interface (CLI) allows for simple single-line commands without the need for a Python environment.
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CLI requires no customization or Python code. You can simply run all tasks from the terminal with the `yolo` command. Check out the [CLI Guide](usage/cli.md) to learn more about using YOLOv8 from the command line.
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!!! example
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=== "Syntax"
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@ -93,7 +92,6 @@ CLI requires no customization or Python code. You can simply run all tasks from
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yolo cfg
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```
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!!! warning "Warning"
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Arguments must be passed as `arg=val` pairs, split by an equals `=` sign and delimited by spaces ` ` between pairs. Do not use `--` argument prefixes or commas `,` between arguments.
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@ -134,4 +132,4 @@ For example, users can load a model, train it, evaluate its performance on a val
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success = model.export(format='onnx')
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```
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[Python Guide](usage/python.md){.md-button .md-button--primary}
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[Python Guide](usage/python.md){.md-button .md-button--primary}
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