yolov10/README.md
Ayush Chaurasia 512a225ce8
Cli support (#50)
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>
2022-11-23 11:37:27 +01:00

976 B

Ultralytics CI

Install

pip install ultralytics

Development

git clone https://github.com/ultralytics/ultralytics
cd ultralytics
pip install -e .

Usage

1. CLI

To simply use the latest Ultralytics YOLO models

yolo task=detect    mode=train  model=s.yaml ...
          classify       infer        s-cls.yaml
          segment        val          s-seg.yaml

2. Python SDK

To use pythonic interface of Ultralytics YOLO model

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, ...)

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.