Semantic Segmentation
Collection
4 items • Updated
This repository hosts the selfie-segmentation models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream model: selfie segmentation
| Path | Backend | Precision |
|---|---|---|
coreml/selfie_segmentation_coreml_fp16.pte |
coreml | fp16 |
coreml/selfie_segmentation_landscape_coreml_fp16.pte |
coreml | fp16 |
xnnpack/selfie_segmentation_xnnpack_fp32.pte |
xnnpack | fp32 |
xnnpack/selfie_segmentation_landscape_xnnpack_fp32.pte |
xnnpack | fp32 |
A backend directory carrying a NOTES.md and no .pte was exported and
not published. Its note records what went wrong.
mlx (why)config.json 41 B
coreml/config.json 1.4 kB
coreml/selfie_segmentation_coreml_fp16.pte 601 kB
coreml/selfie_segmentation_landscape_coreml_fp16.pte 601 kB
mlx/NOTES.md 2.4 kB
xnnpack/config.json 1.4 kB
xnnpack/selfie_segmentation_landscape_xnnpack_fp32.pte 463 kB
xnnpack/selfie_segmentation_xnnpack_fp32.pte 486 kB
These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.
To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.
To load these files in your own ExecuTorch runtime, read the compatibility note first.