F2 Face Detector Onnx
Lightweight face detector (f2.onnx) used to localize faces in the PULAO vision pipeline (faces feed the ArcFace embedding model).
Modellquelle
- Art
- Other
- Dateigröße
- 2,26 MB
- Version
- vRevision 71bda65
- Aktualisiert
- 10. Okt. 2026
- Downloads
- 8
- Quelle
- Hugging Face
Quellenbeschreibung
f2 — Face Detector (ONNX)
Lightweight face detector (f2.onnx) used to localize faces in the PULAO vision pipeline (faces feed the ArcFace embedding model).
⚠️ Provenance / license — UNVERIFIED. The origin of this model is unknown. It is a 2.4 MB detector exported to ONNX from PyTorch; the exact architecture, training data, and license could not be determined from the file. This repository is kept private until provenance is confirmed. Do not redistribute publicly without first establishing the license.
Files
f2.onnx— 2.4 MB- SHA-256:
15bcd6208f8959b28d07fd8488ec011368d666421eda9674d248f1d48d869ada
Inputs / outputs
- Input
input: float32[1, 3, 320, 320](letterboxed square, scaled1/255, RGB in this pipeline). - Output: face-detection tensor; the pipeline reads
[:, :4]boxes (xywh) and[:, 4]scores, then applies NMS.
Usage (onnxruntime)
import cv2, onnxruntime as ort
sess = ort.InferenceSession("f2.onnx", providers=["CPUExecutionProvider"])
blob = cv2.dnn.blobFromImage(img, 1/255, (320, 320), swapRB=True, crop=False)
out = sess.run(None, {"input": blob})[0]
Intended use
Face localization feeding ArcFace embedding. Research / prototype only.
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 10. Okt.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- license: unknown library_name: onnxruntime pipeline_tag: object-detection tags: - onnx - face-detection --- # f2 — Face Detector (ONNX) Lightweight face detector (`f2.onnx`) used to localize faces in the PULAO vision pipeline (faces feed the ArcFace embedding model). > ⚠️ **Provenance / license — UNVERIFIED.** The origin of this model is unknown. It is a 2.4 MB detector exported to ONNX from PyTorch; the exact architecture, training data, and license could **not** be determined from the file. This repository is kept **private** until provenance is confirmed. Do not redistribute publicly without first establishing the license. ## Files - `f2.onnx` — 2.4 MB - SHA-256: `15bcd6208f8959b28d07fd8488ec011368d666421eda9674d248f1d48d869ada` ## Inputs / outputs - **Input** `input`: float32 `[1, 3, 320, 320]` (letterboxed square, scaled `1/255`, RGB in this pipeline). - **Output**: face-detection tensor; the pipeline reads `[:, :4]` boxes (xywh) and `[:, 4]` scores, then applies NMS. ## Usage (onnxruntime) ```python import cv2, onnxruntime as ort sess = ort.InferenceSession("f2.onnx", providers=["CPUExecutionProvider"]) blob = cv2.dnn.blobFromImage(img, 1/255, (320, 320), swapRB=True, crop=False) out = sess.run(None, {"input": blob})[0] ``` ## Intended use Face localization feeding ArcFace embedding. Research / prototype only.
Source context: 8 downloads · 0 likes · Pipeline object-detection · Library onnxruntime · Repo HammadNaseer/f2-face-detector-onnx
Source context: 24 downloads · 0 likes · Pipeline object-detection · Library onnxruntime · Repo HammadNaseer/f2-face-detector-onnx
