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classification's Introduction

高级python程序设计大作业

文件说明

文件 说明
train.py 训练
predict.py 预测
test.py 用于测试，实际文件没有用
config.py 配置文件，设置配置参数
utils/utils.py 其他代码
log/*.txt 保存实验结果
pre_pth 预训练模型
checkpoint 训练好的模型

实验结果

Method Pretrained val_acc test_acc precision recall macro-F1
AlexNet √ 0.669 0.641 0.675 0.632 0.642
AlexNet 0.584 0.526 0.564 0.519 0.529
VGG11 √ 0.723 0.687 0.693 0.684 0.68
VGG11 0.602 0.576 0.586 0.569 0.57
VGG13 √ 0.729 0.693 0.74 0.68 0.691
VGG13 0.601 0.544 0.568 0.532 0.529
VGG16 √ 0.734 0.707 0.748 0.692 0.702
VGG16 0.596 0.559 0.585 0.55 0.552
VGG19 √ 0.731 0.708 0.722 0.7 0.702
VGG19 0.587 0.547 0.567 0.538 0.541
ResNet18 √ 0.714 0.686 0.691 0.683 0.687
ResNet18 0.609 0.576 0.598 0.568 0.576
ResNet34 √ 0.75 0.729 0.74 0.719 0.72
ResNet34 0.617 0.571 0.59 0.563 0.567
ResNet50 √ 0.733 0.707 0.715 0.698 0.701
ResNet50 0.588 0.567 0.583 0.561 0.567
ResNet101 √ 0.723 0.708 0.719 0.706 0.71
ResNet101 0.584 0.553 0.581 0.538 0.542
MobileNetV2 √ 0.729 0.722 0.733 0.717 0.72
MobileNetV2 0.534 0.495 0.518 0.491 0.5
MobileNetV3 √ 0.711 0.667 0.68 0.658 0.664
MobileNetV3 0.504 0.474 0.482 0.464 0.468
MobileNetV3-large √ 0.735 0.720 0.734 0.713 0.718

Downloading

  • Code

    • Clone this repository in the directory (Root/classification):

      git clone https://github.com/iOPEN-Yang/classification.git

  • Pretrained and Fine-tuned pth-file downloading (Scan through WeChat)

image-20220615151933929

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