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+import paddlex as pdx
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+from paddlex import transforms as T
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+
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+# 下载和解压蔬菜分类数据集
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+veg_dataset = 'https://bj.bcebos.com/paddlex/datasets/vegetables_cls.tar.gz'
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+pdx.utils.download_and_decompress(veg_dataset, path='./')
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+
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+# 定义训练和验证时的transforms
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+# API说明:https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/apis/transforms/transforms.md
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+train_transforms = T.Compose(
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+ [T.RandomCrop(crop_size=224), T.RandomHorizontalFlip(), T.Normalize()])
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+
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+eval_transforms = T.Compose([
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+ T.ResizeByShort(short_size=256), T.CenterCrop(crop_size=224), T.Normalize()
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+])
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+
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+# 定义训练和验证所用的数据集
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+# API说明:https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/apis/datasets.md
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+train_dataset = pdx.datasets.ImageNet(
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+ data_dir='vegetables_cls',
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+ file_list='vegetables_cls/train_list.txt',
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+ label_list='vegetables_cls/labels.txt',
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+ transforms=train_transforms,
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+ shuffle=True)
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+
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+eval_dataset = pdx.datasets.ImageNet(
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+ data_dir='vegetables_cls',
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+ file_list='vegetables_cls/val_list.txt',
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+ label_list='vegetables_cls/labels.txt',
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+ transforms=eval_transforms)
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+
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+# 初始化模型,并进行训练
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+# 可使用VisualDL查看训练指标,参考https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/visualdl.md
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+num_classes = len(train_dataset.labels)
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+model = pdx.cls.PPLCNet(num_classes=num_classes, scale=1)
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+
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+# API说明:https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/apis/models/classification.md
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+# 各参数介绍与调整说明:https://github.com/PaddlePaddle/PaddleX/tree/develop/docs/parameters.md
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+model.train(
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+ num_epochs=10,
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+ pretrain_weights='IMAGENET',
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+ train_dataset=train_dataset,
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+ train_batch_size=64,
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+ eval_dataset=eval_dataset,
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+ lr_decay_epochs=[4, 6, 8],
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+ learning_rate=0.1,
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+ save_dir='output/pplcnet',
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+ log_interval_steps=10,
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+ label_smoothing=.1,
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+ use_vdl=True)
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