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zonghuia 04c14cd9c6 | 1 year ago | |
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README.md | 1 year ago | |
load_data.py | 1 year ago | |
main.py | 1 year ago | |
model.py | 1 year ago | |
tools.py | 1 year ago | |
train.ipynb | 1 year ago | |
utils.py | 1 year ago |
这个项目是一个图像分类任务,数据集使用 CIFAR10 数据集,共有十个类别,训练集中每个类别下有 5000 张图片,测试集中每个类别下有 1000 张图片。
模型使用 ResNet50 作为分类任务模型
load_data.py 加载数据集的程序文件,里边包含了加载数据集的类
main.py 训练程序文件,程序的入口,并且在里边配置训练参数
model.py 2D ResNet 模型文件,包含了残差网络模型,并且可选残差网络的深度
tools.py 根据数据集生成包含数据集路径和标签的 txt 文件
train.ipynb 测试程序的 jupyter 文件
utils.py 包含准确率和召回率的计算程序
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