fcn_pytorch's Introduction

Fully Convolutional Networks for Semantic Segmentation

Data

Pascal VOC数据集数据组织形式：　 /home/my_name/data/VOC/VOCdevkit/VOC2012/JPEGImages

工具

pytorch 0.4.1 tensorboardX (可视化工具)

注意事项

如果你参考别的项目,遇到训练很多次没有效果,可能是他的loss实现的有问题.你可以换他其他的loss函数重新训练,也可以参考本项目的loss. 交叉熵loss亲测有效.

使用说明

train

python train.py

evaluate

python evaluate.py

predict

python predict.py

可视化查看

cd FCN_pytorch
tensorboard --logdir ./runs

图片保存:

运行python predict.py,图片保存在指定文件夹中,方便自己查看.

结果:

训练200epoch的结果：

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zhangzhaobinzzz / fcn_pytorch Goto Github PK