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 IoT 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 IoT Devices
- Arduino VENTUNO Q
- Dragonwing IQ-8275 EVK
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® Dragonwing™ Q-6690
- Qualcomm® QCS5121
- Qualcomm® Dragonwing™ QCS6490
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ Q-7790
- Qualcomm® Dragonwing™ IQ-8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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