DeepLabv3+水稻稻穗语义分割模型在Pytorch当中的实现
DeepLabv3+水稻稻穗语义分割模型在Pytorch当中的实现
### 目录
1. [性能情况 Performance](#性能情况)
2. [所需环境 Environment](#所需环境)
3. [注意事项 Attention](#注意事项)
4. [文件下载 Download](#文件下载)
5. [训练步骤 How2train](#训练步骤)
6. [预测步骤 How2predict](#预测步骤)
7. [评估步骤 miou](#评估步骤)
8. [参考资料 Reference](#Reference)
### 所需环境
torch==1.2.0
### 注意事项
代码中的deeplab_mobilenetv2.pth和deeplab_xception.pth是基于VOC拓展数据集训练的。训练和预测时注意修改backbone。
### 训练步骤
#### a、训练voc数据集
1、将我提供的voc数据集放入VOCdevkit中（无需运行voc_annotation.py）。
有问题请关注私聊，包此代码的答疑服务，基本秒回，不满意加球球包退款，可接受定制服务
文件下载
资源详情
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