Learning YOLOv8

YOLOv8是发布YOLOv5的组织发布的

https://github.com/ultralytics/yolov5

https://docs.ultralytics.com/

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安装

pip install ultralytics

使用预训练的模型（会自动下载）

预训练模型分为10档

from ultralytics import YOLO

model = YOLO("yolov8n.pt")

预测

inputs = [img, img] # list of np arrays
results = model(inputs) # List of Results objects
for result in results:
    boxes = result.boxes # Boxes object for bbox outputs
    masks = result.masks # Masks object for segmenation masks outputs
    probs = result.probs # Class probabilities for classification outputs
    ...

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中文readme：https://github.com/ultralytics/yolov5/blob/master/README.zh-CN.md

组织首页：https://ultralytics.com/