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insightface-opencv
Face recognition using OpenCV Zoo weights: YuNet detector + SFace
128-d recognizer (fp32). APACHE 2.0 — safe for commercial use.
Lower accuracy than insightface packs, no demographic head
(`/v1/face/analyze` returns detection regions only).
Weights are downloaded on install via LocalAI's gallery mechanism
(~40MB).
Repository: localaiLicense: apache-2.0
insightface-opencv-int8
Int8-quantized OpenCV Zoo face pair (YuNet int8 + SFace int8, ~12MB).
Roughly 3x smaller and noticeably faster on CPU than the fp32 variant
at comparable accuracy for face tasks. APACHE 2.0 — commercial-safe.
Weights are downloaded on install via LocalAI's gallery mechanism.
Repository: localaiLicense: apache-2.0
speechbrain-ecapa-tdnn
Speaker (voice) recognition with SpeechBrain's ECAPA-TDNN trained
on VoxCeleb. 192-d L2-normalised embeddings, ~1.9% Equal Error
Rate on VoxCeleb1-O. APACHE 2.0 — commercial-safe.
The checkpoint is auto-downloaded from HuggingFace on first
LoadModel (no separate weight file in gallery `files:`). Points at
the upstream SpeechBrain HF repo directly — same bytes every
deployment.
Repository: localaiLicense: apache-2.0
wespeaker-resnet34
Speaker recognition with WeSpeaker's ResNet34 trained on VoxCeleb,
exported to ONNX. 256-d embeddings, CPU-friendly — avoids the
PyTorch runtime entirely (onnxruntime only). APACHE 2.0.
Pair with the `speaker-recognition` backend's OnnxDirectEngine.
Use when ECAPA-TDNN's torch dependency is undesirable (small
images, edge deployments).
Repository: localaiLicense: apache-2.0