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c6abe34 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | from ultralytics import YOLO
import os
def train_player_referee_model():
print("--- Training Player/Referee Model (YOLOv11) - CPU MODE ---")
model = YOLO("yolo11n.pt")
model.train(
data="datasets/nbl_dataset/data.yaml",
epochs=30, # Reduced epochs for CPU
imgsz=320, # Smaller image size is MUCH faster on CPU
batch=4, # Smaller batch avoids memory overload
device='cpu', # Force CPU
workers=2, # Limit background threads
name="nbl_player_referee"
)
print("Player/Referee Training Complete!")
def train_ball_model():
print("--- Training Ball Model (YOLOv10) - CPU MODE ---")
model = YOLO("yolov10n.pt")
model.train(
data="datasets/nbl_dataset/data.yaml",
epochs=30,
imgsz=320,
batch=4,
device='cpu',
workers=2,
name="nbl_ball_model"
)
print("Ball Training Complete!")
if __name__ == "__main__":
# You can choose which one to run, or run both
# For now, let's run both and then we can update the config to use the best weights
train_player_referee_model()
train_ball_model()
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