Depth Estimation
PyTorch
android
CREStereo / README.md
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metadata
library_name: pytorch
license: other
tags:
  - android
pipeline_tag: depth-estimation

CREStereo: Optimized for Qualcomm Devices

CREStereo (Cascaded Recurrent Network with Adaptive Correlation) is a CVPR 2022 Oral paper that achieves state-of-the-art stereo matching accuracy.

This is based on the implementation of CREStereo found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up 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
QNN_DLC float Universal QAIRT 2.45 Download
TFLITE float Universal QAIRT 2.45 Download

For more device-specific assets and performance metrics, visit CREStereo on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

Use the Qualcomm® AI Hub Models 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 CREStereo on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.depth_estimation

Model Stats:

  • Input: Rectified stereo pair — left and right RGB images
  • Input resolution: 240x320
  • Model checkpoint: CREStereo ETH3D pretrained (crestereo_eth3d.pt)
  • Model size (float): 20.7 MB
  • Number of parameters: 5.43M
  • Output: Disparity map

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
CREStereo ONNX float Snapdragon® X2 Elite 87.564 ms 2 - 2 MB NPU
CREStereo ONNX float Snapdragon® X Elite 202.736 ms 21 - 21 MB NPU
CREStereo ONNX float Snapdragon® 8 Gen 3 Mobile 144.369 ms 3 - 1334 MB NPU
CREStereo ONNX float Snapdragon® 8 Gen 1 Mobile 328.168 ms 3 - 1366 MB NPU
CREStereo ONNX float Qualcomm® Dragonwing™ IQ-8275 271.157 ms 2 - 6 MB NPU
CREStereo ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 200.076 ms 0 - 25 MB NPU
CREStereo ONNX float Qualcomm® QCS8450 328.168 ms 3 - 1366 MB NPU
CREStereo ONNX float Qualcomm® Dragonwing™ IQ-9075 269.024 ms 2 - 5 MB NPU
CREStereo ONNX float Qualcomm® Dragonwing™ IQ-X7181 202.736 ms 21 - 21 MB NPU
CREStereo ONNX float Qualcomm® Dragonwing™ Q-8750 111.31 ms 1 - 1112 MB NPU
CREStereo ONNX float Snapdragon® 8 Elite Mobile 111.31 ms 1 - 1112 MB NPU
CREStereo ONNX float Snapdragon® 8 Elite Gen 5 Mobile 79.199 ms 1 - 837 MB NPU
CREStereo QNN_DLC float Snapdragon® X2 Elite 88.18 ms 2 - 2 MB NPU
CREStereo QNN_DLC float Snapdragon® X Elite 203.778 ms 2 - 2 MB NPU
CREStereo QNN_DLC float Snapdragon® 8 Gen 3 Mobile 144.84 ms 2 - 1242 MB NPU
CREStereo QNN_DLC float Snapdragon® 8 Gen 1 Mobile 328.828 ms 2 - 1292 MB NPU
CREStereo QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 271.144 ms 2 - 7 MB NPU
CREStereo QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 797.535 ms 3 - 1015 MB NPU
CREStereo QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 199.896 ms 3 - 6 MB NPU
CREStereo QNN_DLC float Qualcomm® SA8775P 269.996 ms 3 - 1059 MB NPU
CREStereo QNN_DLC float Qualcomm® SA8650P 269.996 ms 3 - 1059 MB NPU
CREStereo QNN_DLC float Qualcomm® SA8255P 269.996 ms 3 - 1059 MB NPU
CREStereo QNN_DLC float Qualcomm® QCS8450 328.828 ms 2 - 1292 MB NPU
CREStereo QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 269.305 ms 4 - 8 MB NPU
CREStereo QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 203.778 ms 2 - 2 MB NPU
CREStereo QNN_DLC float Qualcomm® Dragonwing™ Q-8750 111.55 ms 3 - 1046 MB NPU
CREStereo QNN_DLC float Qualcomm® SA7255P 797.535 ms 3 - 1015 MB NPU
CREStereo QNN_DLC float Qualcomm® SA8295P 312.046 ms 3 - 1066 MB NPU
CREStereo QNN_DLC float Snapdragon® 8 Elite Mobile 111.55 ms 3 - 1046 MB NPU
CREStereo QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 79.208 ms 1 - 748 MB NPU
CREStereo TFLITE float Snapdragon® 8 Gen 3 Mobile 151.227 ms 1 - 1672 MB NPU
CREStereo TFLITE float Snapdragon® 8 Gen 1 Mobile 379.427 ms 1 - 1643 MB NPU
CREStereo TFLITE float Qualcomm® Dragonwing™ IQ-8275 278.444 ms 0 - 44 MB NPU
CREStereo TFLITE float Qualcomm® Dragonwing™ IQ-8275 809.84 ms 1 - 1402 MB NPU
CREStereo TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 216.12 ms 0 - 7 MB NPU
CREStereo TFLITE float Qualcomm® SA8775P 282.462 ms 1 - 1411 MB NPU
CREStereo TFLITE float Qualcomm® SA8650P 282.462 ms 1 - 1411 MB NPU
CREStereo TFLITE float Qualcomm® SA8255P 282.462 ms 1 - 1411 MB NPU
CREStereo TFLITE float Qualcomm® QCS8450 379.427 ms 1 - 1643 MB NPU
CREStereo TFLITE float Qualcomm® Dragonwing™ IQ-9075 281.541 ms 0 - 43 MB NPU
CREStereo TFLITE float Qualcomm® Dragonwing™ Q-8750 122.089 ms 1 - 1377 MB NPU
CREStereo TFLITE float Qualcomm® SA7255P 809.84 ms 1 - 1402 MB NPU
CREStereo TFLITE float Qualcomm® SA8295P 350.245 ms 1 - 1383 MB NPU
CREStereo TFLITE float Snapdragon® 8 Elite Mobile 122.089 ms 1 - 1377 MB NPU
CREStereo TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 88.324 ms 0 - 1114 MB NPU

License

  • The license for the original implementation of CREStereo can be found here.

References

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