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fixed val and saving weights

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nielseni6 2024-10-21 13:56:29 -04:00
parent 411157c18a
commit 2ccec65edc
1 changed files with 3 additions and 3 deletions
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6
run_pgt_train.py
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@ -14,7 +14,7 @@ def main(args):
# model = YOLOv10.from_pretrained('jameslahm/yolov10{n/s/m/b/l/x}') # model = YOLOv10.from_pretrained('jameslahm/yolov10{n/s/m/b/l/x}')
# or # or
# wget https://github.com/THU-MIG/yolov10/releases/download/v1.1/yolov10{n/s/m/b/l/x}.pt # wget https://github.com/THU-MIG/yolov10/releases/download/v1.1/yolov10{n/s/m/b/l/x}.pt
model = YOLOv10('yolov10n.pt', task='segment') # model = YOLOv10('yolov10n.pt', task='segment')
args = dict(model='yolov10n.pt', data=args.data_yaml, args = dict(model='yolov10n.pt', data=args.data_yaml,
epochs=args.epochs, batch=args.batch_size, epochs=args.epochs, batch=args.batch_size,
@ -35,10 +35,10 @@ def main(args):
current_time = datetime.now().strftime('%Y%m%d_%H%M%S') current_time = datetime.now().strftime('%Y%m%d_%H%M%S')
data_yaml_base = os.path.splitext(os.path.basename(args.data_yaml))[0] data_yaml_base = os.path.splitext(os.path.basename(args.data_yaml))[0]
model_save_path = os.path.join(model_weights_dir, f'yolov10_{data_yaml_base}_trained_{current_time}.pt') model_save_path = os.path.join(model_weights_dir, f'yolov10_{data_yaml_base}_trained_{current_time}.pt')
model.save(model_save_path) trainer.save(model_save_path)
# Evaluate the model on the validation set # Evaluate the model on the validation set
results = model.val(data='coco.yaml') results = trainer.val(data=args.data_yaml)
# Print the evaluation results # Print the evaluation results
print(results) print(results)