yolov8_test/docs/quickstart.md

Installation

!!! note "Latest Stable Release" pip install ultralytics ??? tip "Development and Contributing" git clone https://github.com/ultralytics/ultralytics cd ultralytics pip install -e '.[dev]' See contributing section to know more about contributing to the project

CLI

The command line YOLO interface let's you simply train, validate or infer models on various tasks and versions. CLI requires no customization or code. You can simply run all tasks from the terminal !!! tip === "Syntax" bash yolo task=detect mode=train model=s.yaml epochs=1 ... ... ... ... segment infer s-cls.pt classify val s-seg.pt

=== "Example training"
    ```bash
    yolo task=detect mode=train model=s.yaml 
    ```
    TODO:  add terminal screen/gif
=== "Example training DDP"
    ```bash
    yolo task=detect mode=train model=s.yaml device=\'0,1,2,3\'
    ```

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Python API

Ultralytics YOLO comes with pythonic Model and Trainer interface. !!! tip ```python import ultralytics from ultralytics import YOLO

model = YOLO()
model.new("s-seg.yaml") # automatically detects task type
model.load("s-seg.pt") # load checkpoint
model.train(data="coco128-segments", epochs=1, lr0=0.01, ...)
model.train(data="coco128-segments", epochs=1, lr0=0.01, device="0,1,2,3") # DDP mode
```

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