OSNet / README.md

v0.61.0

c0d592f verified 7 days ago

11.3 kB

	---
	library_name: pytorch
	license: mit
	tags:
	- backbone
	- real_time
	- android
	pipeline_tag: video-object-tracking

	---

	![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/web-assets/model_demo.png)

	# OSNet: Optimized for Qualcomm Devices

	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.

	This is based on the implementation of OSNet found [here](https://github.com/KaiyangZhou/deep-person-reid).
	This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/osnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

	Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.

	## Getting Started
	There are two ways to deploy this model on your device:

	### Option 1: Download Pre-Exported Models

	Below are pre-exported model assets ready for deployment.

	\| Runtime \| Precision \| Chipset \| SDK Versions \| Download \|
	\|---\|---\|---\|---\|---\|
	\| ONNX \| float \| Universal \| QAIRT 2.45, ONNX Runtime 1.27.1 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-onnx-float.zip)
	\| QNN_DLC \| float \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-qnn_dlc-float.zip)
	\| QNN_DLC \| w8a8 \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-qnn_dlc-w8a8.zip)
	\| TFLITE \| float \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-tflite-float.zip)
	\| TFLITE \| w8a8 \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-tflite-w8a8.zip)

	For more device-specific assets and performance metrics, visit [OSNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/osnet).


	### Option 2: Export with Custom Configurations

	Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/osnet) Python library to compile and export the model with your own:
	- Custom weights (e.g., fine-tuned checkpoints)
	- Custom input shapes
	- Target device and runtime configurations

	This option is ideal if you need to customize the model beyond the default configuration provided here.

	See our repository for [OSNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/osnet) for usage instructions.

	## Model Details

	Model Type: Model_use_case.video_object_tracking

	Model Stats:
	- 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

	## Performance Summary
	\| Model \| Runtime \| Precision \| Chipset \| Inference Time (ms) \| Peak Memory Range (MB) \| Primary Compute Unit
	\|---\|---\|---\|---\|---\|---\|---
	\| OSNet \| ONNX \| float \| Snapdragon® X2 Elite \| 0.497 ms \| 1 - 1 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® X Elite \| 0.934 ms \| 0 - 0 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® 8 Gen 3 Mobile \| 0.617 ms \| 0 - 71 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® 8 Gen 1 Mobile \| 1.598 ms \| 0 - 68 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 1.406 ms \| 0 - 4 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 0.89 ms \| 0 - 95 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® QCS8450 \| 1.598 ms \| 0 - 68 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ IQ-9075 \| 1.395 ms \| 0 - 3 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ IQ-X7181 \| 0.934 ms \| 0 - 0 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ Q-8750 \| 0.49 ms \| 0 - 53 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® 8 Elite Mobile \| 0.49 ms \| 0 - 53 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.456 ms \| 0 - 54 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® X2 Elite \| 0.643 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® X Elite \| 1.243 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® 8 Gen 3 Mobile \| 0.705 ms \| 0 - 58 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® 8 Gen 1 Mobile \| 2.022 ms \| 0 - 62 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 1.441 ms \| 0 - 3 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 4.564 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 1.052 ms \| 0 - 10 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA8775P \| 1.68 ms \| 0 - 47 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA8650P \| 1.68 ms \| 0 - 47 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA8255P \| 1.68 ms \| 0 - 47 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® QCS8450 \| 2.022 ms \| 0 - 62 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ IQ-9075 \| 1.482 ms \| 0 - 2 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ IQ-X7181 \| 1.243 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ Q-8750 \| 0.533 ms \| 0 - 49 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA7255P \| 4.564 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA8295P \| 2.187 ms \| 0 - 40 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® 8 Elite Mobile \| 0.533 ms \| 0 - 49 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.428 ms \| 0 - 47 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® X2 Elite \| 0.351 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® X Elite \| 0.662 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 8 Gen 3 Mobile \| 0.371 ms \| 0 - 56 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 8 Gen 1 Mobile \| 0.671 ms \| 0 - 62 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ QCS6490 \| 1.494 ms \| 0 - 2 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ IQ-8275 \| 0.548 ms \| 0 - 3 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ IQ-8275 \| 1.264 ms \| 0 - 44 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 0.533 ms \| 0 - 2 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA8775P \| 0.747 ms \| 0 - 48 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA8650P \| 0.747 ms \| 0 - 48 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA8255P \| 0.747 ms \| 0 - 48 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® QCS8450 \| 0.671 ms \| 0 - 62 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ IQ-9075 \| 0.62 ms \| 0 - 2 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ IQ-X7181 \| 0.662 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ Q-6690 \| 2.803 ms \| 0 - 41 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ Q-7790 \| 0.538 ms \| 0 - 44 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ Q-8750 \| 0.282 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA7255P \| 1.264 ms \| 0 - 44 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA8295P \| 1.016 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 8 Elite Mobile \| 0.282 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.23 ms \| 0 - 45 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 7 Gen 4 Mobile \| 0.538 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| float \| Snapdragon® 8 Gen 3 Mobile \| 0.722 ms \| 0 - 59 MB \| NPU
	\| OSNet \| TFLITE \| float \| Snapdragon® 8 Gen 1 Mobile \| 2.034 ms \| 0 - 63 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 1.468 ms \| 0 - 8 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 4.587 ms \| 0 - 45 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 1.105 ms \| 0 - 2 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA8775P \| 1.757 ms \| 0 - 48 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA8650P \| 1.757 ms \| 0 - 48 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA8255P \| 1.757 ms \| 0 - 48 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® QCS8450 \| 2.034 ms \| 0 - 63 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ IQ-9075 \| 1.57 ms \| 0 - 7 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ Q-8750 \| 0.537 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA7255P \| 4.587 ms \| 0 - 45 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA8295P \| 2.263 ms \| 0 - 39 MB \| NPU
	\| OSNet \| TFLITE \| float \| Snapdragon® 8 Elite Mobile \| 0.537 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.443 ms \| 0 - 45 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 8 Gen 3 Mobile \| 0.315 ms \| 0 - 52 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 8 Gen 1 Mobile \| 0.588 ms \| 0 - 59 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ QCS6490 \| 2.429 ms \| 0 - 12 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ IQ-8275 \| 0.492 ms \| 0 - 5 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ IQ-8275 \| 1.142 ms \| 0 - 41 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 0.442 ms \| 0 - 73 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA8775P \| 0.691 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA8650P \| 0.691 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA8255P \| 0.691 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® QCS8450 \| 0.588 ms \| 0 - 59 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ IQ-9075 \| 0.551 ms \| 0 - 5 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ Q-6690 \| 3.546 ms \| 0 - 40 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ Q-7790 \| 0.914 ms \| 0 - 42 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ Q-8750 \| 0.257 ms \| 0 - 40 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA7255P \| 1.142 ms \| 0 - 41 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA8295P \| 0.922 ms \| 0 - 40 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 8 Elite Mobile \| 0.257 ms \| 0 - 40 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.215 ms \| 0 - 43 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 7 Gen 4 Mobile \| 0.914 ms \| 0 - 42 MB \| NPU

	## License
	* The license for the original implementation of OSNet can be found
	[here](https://github.com/KaiyangZhou/deep-person-reid/blob/master/LICENSE).

	## References
	* [Omni-Scale Feature Learning for Person Re-Identification](https://arxiv.org/abs/1905.00953)
	* [Source Model Implementation](https://github.com/KaiyangZhou/deep-person-reid)

	## Community
	* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
	* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).

	---
	library_name: pytorch
	license: mit
	tags:
	- backbone
	- real_time
	- android
	pipeline_tag: video-object-tracking

	---

	![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/web-assets/model_demo.png)

	# OSNet: Optimized for Qualcomm Devices

	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.

	This is based on the implementation of OSNet found [here](https://github.com/KaiyangZhou/deep-person-reid).
	This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/osnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

	Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.

	## Getting Started
	There are two ways to deploy this model on your device:

	### Option 1: Download Pre-Exported Models

	Below are pre-exported model assets ready for deployment.

	\| Runtime \| Precision \| Chipset \| SDK Versions \| Download \|
	\|---\|---\|---\|---\|---\|
	\| ONNX \| float \| Universal \| QAIRT 2.45, ONNX Runtime 1.27.1 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-onnx-float.zip)
	\| QNN_DLC \| float \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-qnn_dlc-float.zip)
	\| QNN_DLC \| w8a8 \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-qnn_dlc-w8a8.zip)
	\| TFLITE \| float \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-tflite-float.zip)
	\| TFLITE \| w8a8 \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/osnet/releases/v0.61.0/osnet-tflite-w8a8.zip)

	For more device-specific assets and performance metrics, visit [OSNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/osnet).


	### Option 2: Export with Custom Configurations

	Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/osnet) Python library to compile and export the model with your own:
	- Custom weights (e.g., fine-tuned checkpoints)
	- Custom input shapes
	- Target device and runtime configurations

	This option is ideal if you need to customize the model beyond the default configuration provided here.

	See our repository for [OSNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/osnet) for usage instructions.

	## Model Details

	Model Type: Model_use_case.video_object_tracking

	Model Stats:
	- 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

	## Performance Summary
	\| Model \| Runtime \| Precision \| Chipset \| Inference Time (ms) \| Peak Memory Range (MB) \| Primary Compute Unit
	\|---\|---\|---\|---\|---\|---\|---
	\| OSNet \| ONNX \| float \| Snapdragon® X2 Elite \| 0.497 ms \| 1 - 1 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® X Elite \| 0.934 ms \| 0 - 0 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® 8 Gen 3 Mobile \| 0.617 ms \| 0 - 71 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® 8 Gen 1 Mobile \| 1.598 ms \| 0 - 68 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 1.406 ms \| 0 - 4 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 0.89 ms \| 0 - 95 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® QCS8450 \| 1.598 ms \| 0 - 68 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ IQ-9075 \| 1.395 ms \| 0 - 3 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ IQ-X7181 \| 0.934 ms \| 0 - 0 MB \| NPU
	\| OSNet \| ONNX \| float \| Qualcomm® Dragonwing™ Q-8750 \| 0.49 ms \| 0 - 53 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® 8 Elite Mobile \| 0.49 ms \| 0 - 53 MB \| NPU
	\| OSNet \| ONNX \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.456 ms \| 0 - 54 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® X2 Elite \| 0.643 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® X Elite \| 1.243 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® 8 Gen 3 Mobile \| 0.705 ms \| 0 - 58 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® 8 Gen 1 Mobile \| 2.022 ms \| 0 - 62 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 1.441 ms \| 0 - 3 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 4.564 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 1.052 ms \| 0 - 10 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA8775P \| 1.68 ms \| 0 - 47 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA8650P \| 1.68 ms \| 0 - 47 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA8255P \| 1.68 ms \| 0 - 47 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® QCS8450 \| 2.022 ms \| 0 - 62 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ IQ-9075 \| 1.482 ms \| 0 - 2 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ IQ-X7181 \| 1.243 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® Dragonwing™ Q-8750 \| 0.533 ms \| 0 - 49 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA7255P \| 4.564 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Qualcomm® SA8295P \| 2.187 ms \| 0 - 40 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® 8 Elite Mobile \| 0.533 ms \| 0 - 49 MB \| NPU
	\| OSNet \| QNN_DLC \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.428 ms \| 0 - 47 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® X2 Elite \| 0.351 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® X Elite \| 0.662 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 8 Gen 3 Mobile \| 0.371 ms \| 0 - 56 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 8 Gen 1 Mobile \| 0.671 ms \| 0 - 62 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ QCS6490 \| 1.494 ms \| 0 - 2 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ IQ-8275 \| 0.548 ms \| 0 - 3 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ IQ-8275 \| 1.264 ms \| 0 - 44 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 0.533 ms \| 0 - 2 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA8775P \| 0.747 ms \| 0 - 48 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA8650P \| 0.747 ms \| 0 - 48 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA8255P \| 0.747 ms \| 0 - 48 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® QCS8450 \| 0.671 ms \| 0 - 62 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ IQ-9075 \| 0.62 ms \| 0 - 2 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ IQ-X7181 \| 0.662 ms \| 0 - 0 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ Q-6690 \| 2.803 ms \| 0 - 41 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ Q-7790 \| 0.538 ms \| 0 - 44 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® Dragonwing™ Q-8750 \| 0.282 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA7255P \| 1.264 ms \| 0 - 44 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Qualcomm® SA8295P \| 1.016 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 8 Elite Mobile \| 0.282 ms \| 0 - 43 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.23 ms \| 0 - 45 MB \| NPU
	\| OSNet \| QNN_DLC \| w8a8 \| Snapdragon® 7 Gen 4 Mobile \| 0.538 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| float \| Snapdragon® 8 Gen 3 Mobile \| 0.722 ms \| 0 - 59 MB \| NPU
	\| OSNet \| TFLITE \| float \| Snapdragon® 8 Gen 1 Mobile \| 2.034 ms \| 0 - 63 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 1.468 ms \| 0 - 8 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ IQ-8275 \| 4.587 ms \| 0 - 45 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 1.105 ms \| 0 - 2 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA8775P \| 1.757 ms \| 0 - 48 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA8650P \| 1.757 ms \| 0 - 48 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA8255P \| 1.757 ms \| 0 - 48 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® QCS8450 \| 2.034 ms \| 0 - 63 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ IQ-9075 \| 1.57 ms \| 0 - 7 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® Dragonwing™ Q-8750 \| 0.537 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA7255P \| 4.587 ms \| 0 - 45 MB \| NPU
	\| OSNet \| TFLITE \| float \| Qualcomm® SA8295P \| 2.263 ms \| 0 - 39 MB \| NPU
	\| OSNet \| TFLITE \| float \| Snapdragon® 8 Elite Mobile \| 0.537 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.443 ms \| 0 - 45 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 8 Gen 3 Mobile \| 0.315 ms \| 0 - 52 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 8 Gen 1 Mobile \| 0.588 ms \| 0 - 59 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ QCS6490 \| 2.429 ms \| 0 - 12 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ IQ-8275 \| 0.492 ms \| 0 - 5 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ IQ-8275 \| 1.142 ms \| 0 - 41 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ QCS8550 (Proxy) \| 0.442 ms \| 0 - 73 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA8775P \| 0.691 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA8650P \| 0.691 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA8255P \| 0.691 ms \| 0 - 44 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® QCS8450 \| 0.588 ms \| 0 - 59 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ IQ-9075 \| 0.551 ms \| 0 - 5 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ Q-6690 \| 3.546 ms \| 0 - 40 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ Q-7790 \| 0.914 ms \| 0 - 42 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® Dragonwing™ Q-8750 \| 0.257 ms \| 0 - 40 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA7255P \| 1.142 ms \| 0 - 41 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Qualcomm® SA8295P \| 0.922 ms \| 0 - 40 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 8 Elite Mobile \| 0.257 ms \| 0 - 40 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 8 Elite Gen 5 Mobile \| 0.215 ms \| 0 - 43 MB \| NPU
	\| OSNet \| TFLITE \| w8a8 \| Snapdragon® 7 Gen 4 Mobile \| 0.914 ms \| 0 - 42 MB \| NPU

	## License
	* The license for the original implementation of OSNet can be found
	[here](https://github.com/KaiyangZhou/deep-person-reid/blob/master/LICENSE).

	## References
	* [Omni-Scale Feature Learning for Person Re-Identification](https://arxiv.org/abs/1905.00953)
	* [Source Model Implementation](https://github.com/KaiyangZhou/deep-person-reid)

	## Community
	* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
	* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).