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- import os
- os.environ['CUDA_VISIBLE_DEVICES'] = '0'
- import paddlex as pdx
- model = pdx.load_model('output/unet/best_model')
- eval_dataset = pdx.datasets.SegDataset(
- data_dir='optic_disc_seg',
- file_list='optic_disc_seg/val_list.txt',
- label_list='optic_disc_seg/labels.txt',
- transforms=model.eval_transforms)
- pdx.slim.prune.analysis(
- model, dataset=eval_dataset, batch_size=4, save_file='unet.sensi.data')
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