SOURCES.md

metadata

license: other
license_name: mixed-permissive
license_link: LICENSE.md
tags:
  - face-detection
  - face-recognition
  - source-archive
  - lightcella

Lightcella Face Pipeline — Source Archive

Preservation copies of the exact upstream artifacts the Lightcella ncnn face models were converted from — kept so the conversion stays reproducible and verifiable even if an upstream repo moves, is renamed, or is taken down. All three upstreams are permissively licensed (MIT / MIT / Apache-2.0), so redistribution here is explicitly allowed; upstream authors retain all credit.

Converted models: lightcella/face-pipeline-ncnn (the shippable ncnn weights). Conversion recipe: see that repo's CONVERSION.md.

These files are not needed to run the pipeline — the ncnn weights are self-contained. This archive exists only for re-verification / re-conversion / provenance.

Manifest

file	provenance	upstream	version	license	SHA-256
face_detection_yunet_2023mar.onnx	raw upstream	OpenCV Zoo	2023mar	MIT © 2020 Shiqi Yu	8f2383e4…52fa4
face_landmarker_2023-05-03.task	raw upstream (bundle; only face_landmarks_detector.tflite inside is used)	Google MediaPipe	2023-05-03 build	Apache-2.0 © Google	64184e22…0bc9ff
GhostFaceNet_W1.3_S2_ArcFace.h5	raw upstream	HamadYA/GhostFaceNets	W1.3 S2 ArcFace	MIT © 2022 HamadYA	9147e497…abb333
GhostFaceNet_W1.3_S2_ArcFace.onnx	derived (fp32 rebuild via tf2onnx + onnxsim from the .h5)	↑	—	MIT © 2022 HamadYA	86da1f57…bd3b4

Full SHA-256 in SHA256SUMS. Verify with sha256sum -c SHA256SUMS.

Notes

• The GhostFaceNet .h5 ships with per-layer mixed_float16 dtype policies (Keras returns NaN on out-of-fp16-range input). The .onnx here is the fp32-rebuilt export (the actual pnnx input), included so re-conversion needs no TF/Keras. The .h5 is the true upstream.
• YuNet .onnx and the MediaPipe .task are byte-for-byte upstream downloads.

Licenses

Same licenses as the artifacts they preserve — full texts in LICENSE.*; map in LICENSE.md.