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.