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Merge branch 'pipeline-setup' of https://dagshub.com/OperationSavta/SavtaDepth into pipeline-setup
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README.md
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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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* 🐶
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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
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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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+
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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
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| 122 |
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- [ ] Testing various datasets as basis for training
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| 123 |
+
- [ ] Testing various models for the data
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| 124 |
+
- [ ] Adding qualitative tests for model performance (visually comparing 3d image outputs)
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