VigIA β€” Model Weights

Centralized model weights for VigIA forensic video analysis system.

Why This Repo Exists

VigIA uses multiple ML models from different sources (Google Drive, PyTorch Hub, insightface). Many of these sources are unreliable for automated downloads (captchas, rate limits, broken URLs). This repo consolidates all weights in one CDN-backed location for reliable deployment.

Models Included

Subfolder Model Task Original Source License
osnet-ain/ OSNet-AIN x1.0 Person Re-ID torchreid (Google Drive) MIT
solider-swin-s/ SOLIDER Swin-S Person Re-ID backbone tinyvision (Google Drive) Apache 2.0
solider-swin-b/ SOLIDER Swin-B Person Re-ID backbone tinyvision (Google Drive) Apache 2.0
transreid-vehicle/ TransReID ViT Vehicle Re-ID damo-cv (Google Drive) MIT
resnet50-ibn/ ResNet50-IBN Vehicle Re-ID backbone torchvision (PyTorch Hub) BSD-3
scrfd-2.5g/ SCRFD-2.5GF Face Detection insightface (buffalo_l.zip) MIT
scrfd-10g/ SCRFD-10GF Face Detection insightface (buffalo_l.zip) MIT
scrfd-34g/ SCRFD-34GF Face Detection insightface (OneDrive) MIT

Usage

from huggingface_hub import snapshot_download

# Download a specific model subfolder
snapshot_download(
    repo_id='rotivrotiv/model-weights',
    allow_patterns='solider-swin-b/**',
    local_dir='./models/',
)

License

Each model retains its original license (see table above). All models are commercially compatible (Apache 2.0, MIT, BSD-3). No model in this repo uses GPL, AGPL, or non-commercial licenses.

Credits

  • SOLIDER β€” tinyvision, ICCV 2023
  • TransReID β€” DAMO Academy, ICCV 2021
  • OSNet β€” torchreid, MIT
  • SCRFD β€” insightface, MIT
  • ResNet50 β€” torchvision, BSD-3
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