LloydAI/DepthAnything_v2-Small-CoreML
In this repo you can find: The notebook which was used to convert depth-anything/Depth-Anything-V2-Small into a CoreML package. Both mlpackage files which can be opened in Xcode and used for Preview (of both images and videos) and development of macOS and iOS Apps Performence and compute unit mapping report for these models as meassured on an iPhone 16 Pro Max One model uses internal resolutio
pip install mlforge-sdk && mlforge pull LloydAI/DepthAnything_v2-Small-CoreML
Model details
About LloydAI/DepthAnything_v2-Small-CoreML
In this repo you can find: The notebook which was used to convert depth-anything/Depth-Anything-V2-Small into a CoreML package. Both mlpackage files which can be opened in Xcode and used for Preview (of both images and videos) and development of macOS and iOS Apps Performence and compute unit mapping report for these models as meassured on an iPhone 16 Pro Max One model uses internal resolution of 518x518 ("Box") and the other 518x392 ("Landscape"). The "Landscape" is much faster than "Box" but will also give more "juggy" edges, due to the patch I applied to avoid bicubing upsampling (.diff file is also present in this repo)