中秋节的广西甘蔗——智蔗见智·向新而生（从obs容器到Baseline示例演示跑模型）

import moxing as mox

# 拷贝obs数据到notebook环境中
mox.file.copy('obs://mytestbosqwe8403000/data/train.zip', './train.zip')
# 拷贝notebook环境中数据到obs
mox.file.copy('./train.zip', 'obs://mytestbosqwe8403000/data/train.zip')

!unzip train.zip &> /dev/null
# copy_parallel用于copy文件夹
mox.file.copy_parallel('./train', 'obs://mytestbosqwe8403000/data/train/')

import moxing as mox
mox.file.copy_parallel('obs://ma-competitions-bj4/guangxi_remote_sense_segmentation/code/', 'obs://mytestbosqwe8403000/data/baseline/')

import moxing as mox
mox.file.copy_parallel('obs://mytestbosqwe8403000/data/baseline/', './baseline')

|-- inference-for-mmseg           （推理代码）mmsegmentation 适配 ModelArts 中AI应用的演示代码
    |-- model
    |   `-- README.md             演示代码说明文件
    |   `-- otherfiles...             
|-- inference-for-pl              （推理代码）pytorch-lightning-unet 适配 ModelArts 中AI应用的演示代码
	|-- model
    |   `-- README.md             演示代码说明文件
    |   `-- otherfiles...
|-- mmsegmentation                mmsegmentation适配于比赛数据的修改版本
|   `-- README.md                 安装说明和convnext-upernet相关训练指令说明
|   `-- otherfiles...
|-- pytorch-lightning-unet        基于pytorch-lightning的unet实现
|   `-- README.md                 安装说明和unet相关训练指令说明
    `-- otherfiles...

import moxing as mox
mox.file.copy_parallel('obs://ma-competitions-bj4/guangxi_remote_sense_segmentation/code/', './baseline')

mox.file.copy_parallel('obs://mytestbosqwe8403000/data/train.zip', './train.zip')

pip install torchvision==0.12.0 --upgrade

unzip train.zip

pip install opencv-python
pip install matplotlib
pip install pytorch-lightning==1.6.5
pip install torchmetrics

cp -r ./train ./baseline/pytorch-lightning-unet/dataset/train
cp -r ./train ./baseline/pytorch-lightning-unet/dataset/split_imgs

cd ./baseline/pytorch-lightning-unet/
python train.py