Update README.md

README.md

@@ -26,9 +26,9 @@ DenseNet的核心组件为“Dense Block”，如图所示，由Dense connectivi
 git clone --recursive http://developer.hpccube.com/codes/modelzoo/densenet121_mmcv.git
 docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:1.10.0-centos7.6-dtk-22.10.1-py37-latest
 # <your IMAGE ID>用以上拉取的docker的镜像ID替换
-docker run --shm-size 10g --network=host --name=nit-pytorch --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/Densenet121-mmcv:/home/Densenet121-mmcv -it <your IMAGE ID> bash
+docker run --shm-size 32g --network=host --name=densenet121 --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/densenet121_mmcv:/home/densenet121_mmcv -it <your IMAGE ID> bash
 
-cd Densenet121-mmcv/mmclassification-mmcv
+cd densenet121_mmcv/mmclassification-mmcv
 pip install -r requirements.txt
 ```
 
@@ -70,12 +70,12 @@ pip install -r requirements.txt
 
 ### 热点行业
 
-制造，能源，交通，网安
+制造,能源,交通,网安
 
-### 源码仓库及问题反馈
+## 源码仓库及问题反馈
 
 http://developer.hpccube.com/codes/modelzoo/densenet121_mmcv.git
 
-### 参考
+## 参考资料
 
 https://github.com/open-mmlab/mmpretrain