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Merge branch 'pipeline-setup' of https://dagshub.com/OperationSavta/SavtaDepth into pipeline-setup

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  1. README.md +5 -4
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@@ -12,6 +12,7 @@ If you'd like to take part, please follow the guide.
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  ### Setting up your environment to contribute
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  * To get started, fork the repository on DAGsHub
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  * Now, you have 3 way to set up your environment: Google Colab, local or docker. If you're not sure which one to go with, we recommend using Colab.
 
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  #### Google Colab
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  Google Colab can be looked at as your web connected, GPU powered IDE. Below is a link to a well-documented Colab notebook, that will load the code and data from this repository, enabling you to modify the code and re-run training. Notice that you still need to modify the code within the `src/code/` folder, adding cells should be used only for testing things out.
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@@ -117,7 +118,7 @@ This notebook is also a part of this project, in case it needs modification, in
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  * 🐶
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  ### TODO:
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- [ ] Web UI
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- [ ] Testing various datasets as basis for training
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- [ ] Testing various models for the data
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- [ ] Adding qualitative tests for model performance (visually comparing 3d image outputs)
 
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  ### Setting up your environment to contribute
13
  * To get started, fork the repository on DAGsHub
14
  * Now, you have 3 way to set up your environment: Google Colab, local or docker. If you're not sure which one to go with, we recommend using Colab.
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+
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  #### Google Colab
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  Google Colab can be looked at as your web connected, GPU powered IDE. Below is a link to a well-documented Colab notebook, that will load the code and data from this repository, enabling you to modify the code and re-run training. Notice that you still need to modify the code within the `src/code/` folder, adding cells should be used only for testing things out.
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  * 🐶
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  ### TODO:
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+ - [ ] Web UI
122
+ - [ ] Testing various datasets as basis for training
123
+ - [ ] Testing various models for the data
124
+ - [ ] Adding qualitative tests for model performance (visually comparing 3d image outputs)