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Modify docker image address of unstructured lifelong learning in Readme

Signed-off-by: SiqiLuo <1587295470@qq.com>
tags/v0.6.0
SiqiLuo 2 years ago
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commit
9b4bfcc260
1 changed files with 6 additions and 6 deletions
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      examples/lifelong_learning/cityscapes/README.md

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examples/lifelong_learning/cityscapes/README.md View File

@@ -15,15 +15,15 @@ Follow the [Sedna installation document](/docs/setup/install.md) to install Sedn


#### Prepare Images #### Prepare Images
This example uses the following images: This example uses the following images:
- Training worker: docker.io/luosiqi/sedna-robo:v0.1.2
- Evaluation worker: docker.io/luosiqi/sedna-robo:v0.1.2
- Inference worker: docker.io/luosiqi/sedna-robo:v0.1.2
- Training worker: kubeedge/sedna-example-lifelong-learning-cityscapes-segmentation:v0.6.0
- Evaluation worker: kubeedge/sedna-example-lifelong-learning-cityscapes-segmentation:v0.6.0
- Inference worker: kubeedge/sedna-example-lifelong-learning-cityscapes-segmentation:v0.6.0


These images are generated by the script [build_images.sh](/examples/build_image.sh). These images are generated by the script [build_images.sh](/examples/build_image.sh).


Users can also generate customized images for different workers and config them in yaml which will be presented in the following steps. Users can also generate customized images for different workers and config them in yaml which will be presented in the following steps.


#### Configure user nodes.
#### Prepare user nodes
``` ```
WORKER_NODE=sedna-mini-control-plane WORKER_NODE=sedna-mini-control-plane


@@ -58,8 +58,8 @@ unzip test_data.zip
After finishing the above preparations, execute the following commands to config. After finishing the above preparations, execute the following commands to config.
``` ```
local_prefix=/data local_prefix=/data
cloud_image=docker.io/luosiqi/sedna-robo:v0.1.2
edge_image=docker.io/luosiqi/sedna-robo:v0.1.2
cloud_image=kubeedge/sedna-example-lifelong-learning-cityscapes-segmentation:v0.6.0
edge_image=kubeedge/sedna-example-lifelong-learning-cityscapes-segmentation:v0.6.0
data_url=$local_prefix/segmentation_data/data.txt data_url=$local_prefix/segmentation_data/data.txt
OUTPUT=$local_prefix/lifelonglearningjob/output OUTPUT=$local_prefix/lifelonglearningjob/output
job_name=robo-demo job_name=robo-demo


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