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Pool Ball Detector
基於 YOLOv8 的撞球檢測模型。
安裝
pip install ultralytics
使用方法
- 載入模型:
from ultralytics import YOLO
model = YOLO('pool-ball-detector.pt')
- 進行預測:
results = model.predict('path/to/image.jpg')
訓練
from ultralytics import YOLO
# 載入模型
model = YOLO('yolov8n.pt')
# 訓練
model.train(
data='data/dataset.yaml',
epochs=120,
imgsz=640,
batch=128,
device='0'
)
數據集結構
data/
├── dataset.yaml
├── images/
│ ├── train/
│ └── val/
└── labels/
├── train/
└── val/
模型性能
- mAP50: 0.931
- mAP50-95: 0.581
授權
MIT License
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