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training.py
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training.py
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"""
For model training
"""
import ultralytics
# n for nano, s for small, m for medium, l for large
# Use nano or small for now
MODEL_START = "yolov8n.yaml"
# Change path to last.pt in runs/ to resume
MODEL_RESUME_PATH = "path/to/last.pt"
# Path to configuration that describes the dataset directory structure
DATASET_PATH = "2023_pad.yaml"
# Model hyperparameters
# Configurations: https://docs.ultralytics.com/usage/cfg/
IMAGE_DIMENSION = 720
SAVE_EVERY_NTH_EPOCH = 10
DEVICE = 0 # CPU or CUDA device
WORKER_COUNT = 4 # Worker threads
def main() -> int:
"""
Main function
"""
# Load model
# Start with MODEL_START or resume with MODEL_RESUME_PATH
model = ultralytics.YOLO(MODEL_START)
# Train
model.train(
data=DATASET_PATH,
imgsz=IMAGE_DIMENSION,
save=True,
save_period=SAVE_EVERY_NTH_EPOCH,
device=DEVICE,
workers=WORKER_COUNT,
verbose=True,
resume=True, # Ignored if model is not initialized with an existing .pt model
)
return 0
if __name__ == "__main__":
result_main = main()
if result_main < 0:
print(f"ERROR: Status code: {result_main}")
print("Done!")