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34 lines
976 B
34 lines
976 B
[](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml) |
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### Install |
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```bash |
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pip install ultralytics |
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``` |
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Development |
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``` |
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git clone https://github.com/ultralytics/ultralytics |
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cd ultralytics |
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pip install -e . |
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``` |
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## Usage |
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### 1. CLI |
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To simply use the latest Ultralytics YOLO models |
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```bash |
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yolo task=detect mode=train model=s.yaml ... |
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classify infer s-cls.yaml |
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segment val s-seg.yaml |
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``` |
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### 2. Python SDK |
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To use pythonic interface of Ultralytics YOLO model |
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```python |
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import ultralytics |
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from ultralytics import YOLO |
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model = YOLO() |
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model.new("s-seg.yaml") # automatically detects task type |
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model.load("s-seg.pt") # load checkpoint |
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model.train(data="coco128-segments", epochs=1, lr0=0.01, ...) |
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``` |
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If you're looking to modify YOLO for R&D or to build on top of it, refer to [Using Trainer]() Guide on our docs.
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