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import sys
sys.path.append("E:/dataFiles/github/PaddleRS")
import paddlers as pdrs
from paddlers import transforms as T
# 下载aistudio的数据到当前文件夹并解压、整理
# https://aistudio.baidu.com/aistudio/datasetdetail/53795
# 定义训练和验证时的transforms
# API说明:https://github.com/PaddlePaddle/paddlers/blob/develop/docs/apis/transforms/transforms.md
train_transforms = T.Compose([
T.Resize(target_size=512),
T.RandomHorizontalFlip(),
T.Normalize(
mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]),
])
eval_transforms = T.Compose([
T.Resize(target_size=512),
T.Normalize(
mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]),
])
# 定义训练和验证所用的数据集
# API说明:https://github.com/PaddlePaddle/paddlers/blob/develop/docs/apis/datasets.md
train_dataset = pdrs.datasets.CDDataset(
data_dir='E:/dataFiles/github/PaddleRS/tutorials/train/change_detection/DataSet',
file_list='tutorials/train/change_detection/DataSet/train.txt',
label_list='tutorials/train/change_detection/DataSet/labels.txt',
transforms=train_transforms,
num_workers=0,
shuffle=True)
eval_dataset = pdrs.datasets.CDDataset(
data_dir='E:/dataFiles/github/PaddleRS/tutorials/train/change_detection/DataSet',
file_list='tutorials/train/change_detection/DataSet/val.txt',
label_list='tutorials/train/change_detection/DataSet/labels.txt',
transforms=eval_transforms,
num_workers=0,
shuffle=False)
# 初始化模型,并进行训练
# 可使用VisualDL查看训练指标,参考https://github.com/PaddlePaddle/paddlers/blob/develop/docs/visualdl.md
num_classes = len(train_dataset.labels)
model = pdrs.tasks.CDNet(num_classes=num_classes, in_channels=6)
# API说明:https://github.com/PaddlePaddle/paddlers/blob/develop/docs/apis/models/semantic_segmentation.md
# 各参数介绍与调整说明:https://github.com/PaddlePaddle/paddlers/blob/develop/docs/parameters.md
model.train(
num_epochs=1,
train_dataset=train_dataset,
train_batch_size=4,
eval_dataset=eval_dataset,
learning_rate=0.01,
pretrain_weights=None,
save_dir='output/cdnet')