- Network construction follows the PyTorch-like style
- Enable distributed GPU cluster processing for large remote sensing images
- Simplified compile working flow for LuoJiaNet, all at once.
- Support GDAL built from root for multi-source remote sensing processing
- Support data parallel / model parallel / hybrid-parallel
- Support the processing of ultra-large size remote sensing image distributed training
Thanks to these wonderful people from LuoJiaNet Group, Whuhan University & Huawei echnologies Co., Ltd:
Wuhan University:
- Zhang Mi
- Zhang Zhan
- Zhou Huan
- Yang Bingnan
- Zhang Zhili
- Jiang Liangcun
- Cao Zhipeng
- Liu Shuaiqi
- Wang Bin
- Du Zhuotong
- Teng Haotian
Huawei technologies Co., Ltd:
- Ying Jiangyong
- Zhang Guowen
- Liu Zhujun
- Zhang Fengwei
- Yang Zhenzhang
- Li Yong
- Cao Jian
- Fan Aoxiang
Contributions of any kind are welcome!