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Savta Depth is a collaborative Open Source Data Science project for monocular depth estimation.
Here you will find the code for the project, but also the data, models, pipelines and experiments. This means that the project is easily reproducible on any machine, but also that you can contribute to it as a data scientist.
Have a great idea for how to improve the model? Want to add data and metrics to make it more explainable/fair? We'd love to get your help.
Here we'll list things we want to work on in the project as well as ways to start contributing. If you'd like to take part, please follow the guide.
$ git clone https://dagshub.com/<your-dagshub-username>/SavtaDepth.git
$ dvc checkout #use this to get the data, models etc
$ chmod +x run_dev_env.sh
$ ./run_dev_env.sh
[] Web UI [] Testing various datasets as basis for training [] Testing various models for the data [] Adding qualitative tests for model performance (visually comparing 3d image outputs)
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Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?