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.
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This model is currently not supported on any Automotive chipset.
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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 Automotive Devices
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P
- Qualcomm® SA8295P
- Qualcomm® SA8650P
- Qualcomm® SA8775P
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