1、下载软件!pip install paddlex -i https://mirror.baidu.com/pypi/simple

2、定义数据集

train_dataset = pdx.datasets.VOCDetection( data_dir='insect_det', file_list='insect_det/train_list.txt', label_list='insect_det/labels.txt', transforms=train_transforms, shuffle=True) eval_dataset = pdx.datasets.VOCDetection( data_dir='insect_det', file_list='insect_det/val_list.txt', label_list='insect_det/labels.txt', transforms=eval_transforms)

3、选择模型并训练

num_classes = len(train_dataset.labels) model = pdx.det.YOLOv3(num_classes=num_classes, backbone='DarkNet53') model.train( num_epochs=270, train_dataset=train_dataset, train_batch_size=8, eval_dataset=eval_dataset, learning_rate=0.000125, lr_decay_epochs=[210, 240], save_interval_epochs=20, save_dir='output/yolov3_darknet53', use_vdl=True)

4、参数调优

5、预测模型