Duplicate from qualcomm/Depth-Anything-V2

dfeab00 about 1 month ago

8.66 kB

	---
	library_name: pytorch
	license: other
	tags:
	- android
	pipeline_tag: depth-estimation

	---

	![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v2/web-assets/model_demo.png)

	# Depth-Anything-V2: Optimized for Qualcomm Devices

	Depth Anything is designed for estimating depth at each point in an image.

	This is based on the implementation of Depth-Anything-V2 found [here](https://github.com/huggingface/transformers/tree/main/src/transformers/models/depth_anything).
	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/main/src/qai_hub_models/models/depth_anything_v2) 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 2.42, ONNX Runtime 1.24.3 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v2/releases/v0.54.0/depth_anything_v2-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/depth_anything_v2/releases/v0.54.0/depth_anything_v2-qnn_dlc-float.zip)
	\| QNN_DLC \| w8a16 \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v2/releases/v0.54.0/depth_anything_v2-qnn_dlc-w8a16.zip)
	\| TFLITE \| float \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v2/releases/v0.54.0/depth_anything_v2-tflite-float.zip)

	For more device-specific assets and performance metrics, visit [Depth-Anything-V2 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/depth_anything_v2).


	### Option 2: Export with Custom Configurations

	Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/depth_anything_v2) 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 [Depth-Anything-V2 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/depth_anything_v2) for usage instructions.

	## Model Details

	Model Type: Model_use_case.depth_estimation

	Model Stats:
	- Model checkpoint: DepthAnything_V2_Small
	- Input resolution: 518x518
	- Number of parameters: 24.7M
	- Model size (float): 94.3 MB

	## Performance Summary
	\| Model \| Runtime \| Precision \| Chipset \| Inference Time (ms) \| Peak Memory Range (MB) \| Primary Compute Unit
	\|---\|---\|---\|---\|---\|---\|---
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 18.537 ms \| 3 - 418 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® 8 Elite Mobile \| 22.839 ms \| 2 - 433 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® X2 Elite \| 18.701 ms \| 48 - 48 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® X Elite \| 45.117 ms \| 47 - 47 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® X Elite \| 45.117 ms \| 47 - 47 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® 8 Gen 3 Mobile \| 31.951 ms \| 1 - 571 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Qualcomm® QCS8550 (Proxy) \| 43.774 ms \| 0 - 58 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® 8 Elite For Galaxy Mobile \| 22.839 ms \| 2 - 433 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Qualcomm® QCS9075 \| 54.667 ms \| 3 - 9 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 19.771 ms \| 3 - 381 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® 8 Elite Mobile \| 24.837 ms \| 3 - 389 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® X2 Elite \| 20.25 ms \| 3 - 3 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® X Elite \| 51.277 ms \| 3 - 3 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® X Elite \| 51.277 ms \| 3 - 3 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® 8 Gen 3 Mobile \| 38.857 ms \| 3 - 513 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® QCS8550 (Proxy) \| 51.036 ms \| 3 - 6 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA8775P \| 56.629 ms \| 0 - 369 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA8775P \| 56.629 ms \| 0 - 369 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA8775P \| 56.629 ms \| 0 - 369 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA7255P \| 142.323 ms \| 1 - 388 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® QCS8450 (Proxy) \| 92.825 ms \| 3 - 487 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA8295P \| 82.742 ms \| 3 - 365 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® 8 Elite For Galaxy Mobile \| 24.837 ms \| 3 - 389 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® QCS9075 \| 62.094 ms \| 3 - 9 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® 8 Elite Gen 5 Mobile \| 82.19 ms \| 2 - 2008 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® 8 Elite Mobile \| 94.996 ms \| 2 - 2017 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® X2 Elite \| 70.717 ms \| 2 - 2 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® X Elite \| 137.583 ms \| 2 - 2 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® X Elite \| 137.583 ms \| 2 - 2 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® 8 Gen 3 Mobile \| 111.762 ms \| 2 - 2296 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® QCS8550 (Proxy) \| 142.655 ms \| 2 - 4 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® SA8775P \| 142.04 ms \| 2 - 2000 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® SA8775P \| 142.04 ms \| 2 - 2000 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® SA8775P \| 142.04 ms \| 2 - 2000 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® SA7255P \| 259.475 ms \| 2 - 1998 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® 8 Elite For Galaxy Mobile \| 94.996 ms \| 2 - 2017 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® QCS9075 \| 141.65 ms \| 2 - 5 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 19.63 ms \| 1 - 389 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Snapdragon® 8 Elite Mobile \| 24.623 ms \| 1 - 396 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Snapdragon® 8 Gen 3 Mobile \| 38.771 ms \| 0 - 511 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® QCS8550 (Proxy) \| 52.273 ms \| 1 - 12 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA8775P \| 56.633 ms \| 1 - 379 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA8775P \| 56.633 ms \| 1 - 379 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA8775P \| 56.633 ms \| 1 - 379 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA7255P \| 142.647 ms \| 1 - 395 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® QCS8450 (Proxy) \| 93.061 ms \| 1 - 490 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA8295P \| 82.465 ms \| 1 - 370 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Snapdragon® 8 Elite For Galaxy Mobile \| 24.623 ms \| 1 - 396 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® QCS9075 \| 61.348 ms \| 1 - 57 MB \| NPU

	## License
	* The license for the original implementation of Depth-Anything-V2 can be found
	[here](https://github.com/huggingface/transformers/blob/main/LICENSE).

	## References
	* [Depth Anything V2](https://arxiv.org/abs/2406.09414)
	* [Source Model Implementation](https://github.com/huggingface/transformers/tree/main/src/transformers/models/depth_anything)

	## 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: other
	tags:
	- android
	pipeline_tag: depth-estimation

	---

	![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v2/web-assets/model_demo.png)

	# Depth-Anything-V2: Optimized for Qualcomm Devices

	Depth Anything is designed for estimating depth at each point in an image.

	This is based on the implementation of Depth-Anything-V2 found [here](https://github.com/huggingface/transformers/tree/main/src/transformers/models/depth_anything).
	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/main/src/qai_hub_models/models/depth_anything_v2) 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 2.42, ONNX Runtime 1.24.3 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v2/releases/v0.54.0/depth_anything_v2-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/depth_anything_v2/releases/v0.54.0/depth_anything_v2-qnn_dlc-float.zip)
	\| QNN_DLC \| w8a16 \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v2/releases/v0.54.0/depth_anything_v2-qnn_dlc-w8a16.zip)
	\| TFLITE \| float \| Universal \| QAIRT 2.45 \| [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v2/releases/v0.54.0/depth_anything_v2-tflite-float.zip)

	For more device-specific assets and performance metrics, visit [Depth-Anything-V2 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/depth_anything_v2).


	### Option 2: Export with Custom Configurations

	Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/depth_anything_v2) 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 [Depth-Anything-V2 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/depth_anything_v2) for usage instructions.

	## Model Details

	Model Type: Model_use_case.depth_estimation

	Model Stats:
	- Model checkpoint: DepthAnything_V2_Small
	- Input resolution: 518x518
	- Number of parameters: 24.7M
	- Model size (float): 94.3 MB

	## Performance Summary
	\| Model \| Runtime \| Precision \| Chipset \| Inference Time (ms) \| Peak Memory Range (MB) \| Primary Compute Unit
	\|---\|---\|---\|---\|---\|---\|---
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 18.537 ms \| 3 - 418 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® 8 Elite Mobile \| 22.839 ms \| 2 - 433 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® X2 Elite \| 18.701 ms \| 48 - 48 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® X Elite \| 45.117 ms \| 47 - 47 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® X Elite \| 45.117 ms \| 47 - 47 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® 8 Gen 3 Mobile \| 31.951 ms \| 1 - 571 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Qualcomm® QCS8550 (Proxy) \| 43.774 ms \| 0 - 58 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Snapdragon® 8 Elite For Galaxy Mobile \| 22.839 ms \| 2 - 433 MB \| NPU
	\| Depth-Anything-V2 \| ONNX \| float \| Qualcomm® QCS9075 \| 54.667 ms \| 3 - 9 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 19.771 ms \| 3 - 381 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® 8 Elite Mobile \| 24.837 ms \| 3 - 389 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® X2 Elite \| 20.25 ms \| 3 - 3 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® X Elite \| 51.277 ms \| 3 - 3 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® X Elite \| 51.277 ms \| 3 - 3 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® 8 Gen 3 Mobile \| 38.857 ms \| 3 - 513 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® QCS8550 (Proxy) \| 51.036 ms \| 3 - 6 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA8775P \| 56.629 ms \| 0 - 369 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA8775P \| 56.629 ms \| 0 - 369 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA8775P \| 56.629 ms \| 0 - 369 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA7255P \| 142.323 ms \| 1 - 388 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® QCS8450 (Proxy) \| 92.825 ms \| 3 - 487 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® SA8295P \| 82.742 ms \| 3 - 365 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Snapdragon® 8 Elite For Galaxy Mobile \| 24.837 ms \| 3 - 389 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| float \| Qualcomm® QCS9075 \| 62.094 ms \| 3 - 9 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® 8 Elite Gen 5 Mobile \| 82.19 ms \| 2 - 2008 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® 8 Elite Mobile \| 94.996 ms \| 2 - 2017 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® X2 Elite \| 70.717 ms \| 2 - 2 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® X Elite \| 137.583 ms \| 2 - 2 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® X Elite \| 137.583 ms \| 2 - 2 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® 8 Gen 3 Mobile \| 111.762 ms \| 2 - 2296 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® QCS8550 (Proxy) \| 142.655 ms \| 2 - 4 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® SA8775P \| 142.04 ms \| 2 - 2000 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® SA8775P \| 142.04 ms \| 2 - 2000 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® SA8775P \| 142.04 ms \| 2 - 2000 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® SA7255P \| 259.475 ms \| 2 - 1998 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Snapdragon® 8 Elite For Galaxy Mobile \| 94.996 ms \| 2 - 2017 MB \| NPU
	\| Depth-Anything-V2 \| QNN_DLC \| w8a16 \| Qualcomm® QCS9075 \| 141.65 ms \| 2 - 5 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Snapdragon® 8 Elite Gen 5 Mobile \| 19.63 ms \| 1 - 389 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Snapdragon® 8 Elite Mobile \| 24.623 ms \| 1 - 396 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Snapdragon® 8 Gen 3 Mobile \| 38.771 ms \| 0 - 511 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® QCS8550 (Proxy) \| 52.273 ms \| 1 - 12 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA8775P \| 56.633 ms \| 1 - 379 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA8775P \| 56.633 ms \| 1 - 379 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA8775P \| 56.633 ms \| 1 - 379 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA7255P \| 142.647 ms \| 1 - 395 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® QCS8450 (Proxy) \| 93.061 ms \| 1 - 490 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® SA8295P \| 82.465 ms \| 1 - 370 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Snapdragon® 8 Elite For Galaxy Mobile \| 24.623 ms \| 1 - 396 MB \| NPU
	\| Depth-Anything-V2 \| TFLITE \| float \| Qualcomm® QCS9075 \| 61.348 ms \| 1 - 57 MB \| NPU

	## License
	* The license for the original implementation of Depth-Anything-V2 can be found
	[here](https://github.com/huggingface/transformers/blob/main/LICENSE).

	## References
	* [Depth Anything V2](https://arxiv.org/abs/2406.09414)
	* [Source Model Implementation](https://github.com/huggingface/transformers/tree/main/src/transformers/models/depth_anything)

	## 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).