D
LloydAI/DepthAnything_v2-Large-CoreML
Depth Estimation·LloydAI· 2
coreml
cc-by-nc-4.0
Depth Estimation
arxiv:2406.09414base_model:depth-anything/Depth-Anything-V2-Largebase_model:finetune:depth-anything/Depth-Anything-V2-Largelicense:cc-by-nc-4.0region:us
In this repo you can find: The notebook which was used to convert depth-anything/Depth-Anything-V2-Large into a CoreML package. The mlpackage which can be opened in Xcode and used for Preview and development of macOS and iOS Apps Performence and compute unit mapping report for this model as meassured on an iPhone 16 Pro Max and a MacBook Pro (With Apple M3 Pro)
# pull & run locally
pip install mlforge-sdk && mlforge pull LloydAI/DepthAnything_v2-Large-CoreML
pip install mlforge-sdk && mlforge pull LloydAI/DepthAnything_v2-Large-CoreML
Model details
Task
Depth Estimation
Provider
LloydAI
Framework
coreml
Size
593 MB
License
cc-by-nc-4.0
Likes
2
Paper
arXiv:2406.09414
Updated
2025-03-17
About LloydAI/DepthAnything_v2-Large-CoreML
In this repo you can find: The notebook which was used to convert depth-anything/Depth-Anything-V2-Large into a CoreML package. The mlpackage which can be opened in Xcode and used for Preview and development of macOS and iOS Apps Performence and compute unit mapping report for this model as meassured on an iPhone 16 Pro Max and a MacBook Pro (With Apple M3 Pro)
Related Depth Estimation
D
depth-anything/Depth-Anything-V2-Small-hf
1.7M 38
🤗 HF
D
depth-anything/DA3METRIC-LARGE
771.6K 19
🤗 HF
D
LiheYoung/depth-anything-large-hf
388.9K 65
🤗 HF
D
Intel/dpt-hybrid-midas
225.1K 112
🤗 HF
D
depth-anything/DA3NESTED-GIANT-LARGE-1.1
199.9K 27
🤗 HF
D
depth-anything/Depth-Anything-V2-Large-hf
199.1K 32
🤗 HF