OSNet
Omni‑scale person re‑identification network for robust identity embeddings.
OSNet is a compact convolutional architecture for person re‑identification. It extracts discriminative embeddings that can be compared with cosine similarity for person matching across camera views.
Not supported
This model is currently not supported on any Compute chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input resolution:256x128
Model checkpoint:osnet_x1_0_market_256x128_amsgrad_ep150_stp60_lr0.0015_b64_fb10_softmax_labelsmooth_flip.pth
Model size (float):8.69 MB
Model size (w8a8):3.57 MB
Number of parameters:2.68M
Applicable Scenarios
- Multi-camera person tracking
- Retail analytics
- Building access and security monitoring
License
Model:MIT
Tags
- backbone
- real-time
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers