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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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+# 下载和解压昆虫检测数据集
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+dataset = 'https://bj.bcebos.com/paddlex/datasets/insect_det.tar.gz'
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+pdx.utils.download_and_decompress(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/release/2.0-rc/paddlex/cv/transforms/operators.py
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+train_transforms = T.Compose([
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+ T.RandomResizeByShort(
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+ short_sizes=[640, 672, 704, 736, 768, 800],
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+ max_size=1333,
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+ interp='CUBIC'), T.RandomHorizontalFlip(), T.Normalize(
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+ mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
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+])
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+
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+eval_transforms = T.Compose([
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+ T.ResizeByShort(
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+ short_size=800, max_size=1333, interp='CUBIC'), T.Normalize(
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+ mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
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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/dygraph/paddlex/cv/datasets/coco.py#L26
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+train_dataset = pdx.datasets.CocoDetection(
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+ data_dir='xiaoduxiong_ins_det/JPEGImages',
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+ ann_file='xiaoduxiong_ins_det/train.json',
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+ transforms=train_transforms,
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+ shuffle=True)
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+eval_dataset = pdx.datasets.CocoDetection(
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+ data_dir='xiaoduxiong_ins_det/JPEGImages',
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+ ann_file='xiaoduxiong_ins_det/val.json',
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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/tree/release/2.0-rc/tutorials/train#visualdl可视化训练指标
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+num_classes = len(train_dataset.labels)
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+model = pdx.models.MaskRCNN(
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+ num_classes=num_classes, backbone='ResNet50', with_fpn=True)
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+
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+# API说明:https://github.com/PaddlePaddle/PaddleX/blob/release/2.0-rc/paddlex/cv/models/detector.py#L155
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+# 各参数介绍与调整说明:https://paddlex.readthedocs.io/zh_CN/develop/appendix/parameters.html
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+model.train(
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+ num_epochs=12,
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+ train_dataset=train_dataset,
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+ train_batch_size=1,
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+ eval_dataset=eval_dataset,
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+ learning_rate=0.00125,
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+ lr_decay_epochs=[8, 11],
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+ warmup_steps=10,
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+ warmup_start_lr=0.0,
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+ save_dir='output/mask_rcnn_r50_fpn',
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+ use_vdl=True)
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