Monocular Depth Estimation - Running multiple pre-trained models and looking at the average

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  • AdaBins

    Official implementation of Adabins: Depth Estimation using adaptive bins

  • I was curious what would happen if I ran a few of these models on the same input and calculated the average. So, I ran (1) [AdaBins](https://github.com/shariqfarooq123/AdaBins) (NYU + KITTI models), (2) [DiverseDepth](https://github.com/YvanYin/DiverseDepth), (3) [MiDaS](https://github.com/intel-isl/MiDaS), and (4) [SGDepth](https://github.com/ifnspaml/SGDepth), and calculated a weighted-average depth prediction.

  • merged_depth

    Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

  • Project Link: https://github.com/p-ranav/merged_depth

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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