PayamFard123/dermaintel-face-parsing
By PayamFard123 · ↓ 0 · ♥ 0 · Updated 2026-01-26
What's in this repo
This page lists the files in PayamFard123/dermaintel-face-parsing, including resnet18.onnx.
- 1 ONNX models (.onnx files)
- 3 files, including 1 .md, 1 .onnx
- Last updated 2026-01-26
ONNX files
| File | Size | Download |
|---|---|---|
| resnet18.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
BiSeNet Face Parsing Model (Hair Segmentation)
This is a BiSeNet-based face parsing model trained on CelebAMask-HQ dataset. Used for accurate hair segmentation in the DermaIntel application.
Model Details
- Architecture: BiSeNet with ResNet-18 backbone
- Format: ONNX
- Input Size: 512x512 RGB
- Classes: 19 facial components
Class Labels
| Index | Label |
|---|---|
| 0 | background |
| 1 | skin |
| 2 | l_brow |
| 3 | r_brow |
| 4 | l_eye |
| 5 | r_eye |
| 6 | eye_g (glasses) |
| 7 | l_ear |
| 8 | r_ear |
| 9 | ear_r (earring) |
| 10 | nose |
| 11 | mouth |
| 12 | u_lip |
| 13 | l_lip |
| 14 | neck |
| 15 | neck_l |
| 16 | cloth |
| 17 | hair |
| 18 | hat |
Usage
from huggingface_hub import hf_hub_download
import onnxruntime as ort
# Download model
model_path = hf_hub_download(
repo_id="PayamFard123/dermaintel-face-parsing",
filename="resnet18.onnx"
)
# Load model
session = ort.InferenceSession(model_path)
Original Source
Model weights from: https://github.com/yakhyo/face-parsing
Model info
Created: 2026-01-26
Updated: 2026-01-26
View on Hugging FaceFiles (3)
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