# CF-Net

**Repository Path**: crazy_zx/CF-Net

## Basic Information

- **Project Name**: CF-Net
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-01-09
- **Last Updated**: 2024-01-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CF-Net
Code of "Cross Fusion Net: A Fast Semantic Segmentation Network for Small-scale Semantic Information Capturing in Aerial Scenes"
To train the network you can

CUDA_VISIBLE_DEVICES=0 python -m torch.distributed.launch --nproc_per_node=1 train.py

To test the network you can

CUDA_VISIBLE_DEVICES=0 python evaluate.py

To test the metrics and generate training and testing images, you can use the code provided in https://github.com/zhu-xlab/A-Relation-Augmented-Fully-Convolutional-Network-for-Semantic-Segmentation-in-Aerial-Scenes