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CREStereo

Depth Estimation
PyTorch
android
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v0.59.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.59.0 for changelog.

Files changed (2) hide show
  1. README.md +30 -48
  2. release_assets.json +7 -12
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: depth-estimation
14
  CREStereo (Cascaded Recurrent Network with Adaptive Correlation) is a CVPR 2022 Oral paper that achieves state-of-the-art stereo matching accuracy.
15
 
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  This is based on the implementation of CREStereo found [here](https://github.com/ibaiGorordo/CREStereo-Pytorch).
17
- 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/v0.58.0/src/qai_hub_models/models/crestereo) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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  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.
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@@ -27,23 +27,22 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
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  |---|---|---|---|---|
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- | ONNX | float | Universal | ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/crestereo/releases/v0.58.0/crestereo-onnx-float.zip)
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- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/crestereo/releases/v0.58.0/crestereo-qnn_dlc-float.zip)
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- | TFLITE | float | Universal | | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/crestereo/releases/v0.58.0/crestereo-tflite-float.zip)
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34
  For more device-specific assets and performance metrics, visit **[CREStereo on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/crestereo)**.
35
 
36
 
37
  ### Option 2: Export with Custom Configurations
38
 
39
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/crestereo) Python library to compile and export the model with your own:
40
  - Custom weights (e.g., fine-tuned checkpoints)
41
  - Custom input shapes
42
  - Target device and runtime configurations
43
 
44
  This option is ideal if you need to customize the model beyond the default configuration provided here.
45
 
46
- See our repository for [CREStereo on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/crestereo) for usage instructions.
47
 
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  ## Model Details
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@@ -60,48 +59,31 @@ See our repository for [CREStereo on GitHub](https://github.com/qualcomm/ai-hub-
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  ## Performance Summary
61
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
62
  |---|---|---|---|---|---|---
63
- | CREStereo | ONNX | float | Snapdragon® X2 Elite | 91.676 ms | 2 - 2 MB | NPU
64
- | CREStereo | ONNX | float | Snapdragon® X Elite | 211.061 ms | 23 - 23 MB | NPU
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- | CREStereo | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 146.939 ms | 3 - 1520 MB | NPU
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- | CREStereo | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 357.129 ms | 4 - 1511 MB | NPU
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- | CREStereo | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 206.27 ms | 0 - 31 MB | NPU
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- | CREStereo | ONNX | float | Qualcomm® QCS8450 | 357.129 ms | 4 - 1511 MB | NPU
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- | CREStereo | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 312.554 ms | 2 - 5 MB | NPU
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- | CREStereo | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 88.465 ms | 2 - 937 MB | NPU
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- | CREStereo | ONNX | float | Snapdragon® 8 Elite Mobile | 116.301 ms | 3 - 1155 MB | NPU
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- | CREStereo | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 116.301 ms | 3 - 1155 MB | NPU
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- | CREStereo | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 211.061 ms | 23 - 23 MB | NPU
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- | CREStereo | QNN_DLC | float | Snapdragon® X2 Elite | 90.738 ms | 2 - 2 MB | NPU
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- | CREStereo | QNN_DLC | float | Snapdragon® X Elite | 209.682 ms | 2 - 2 MB | NPU
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- | CREStereo | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 149.943 ms | 3 - 1528 MB | NPU
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- | CREStereo | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 358.307 ms | 2 - 1841 MB | NPU
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- | CREStereo | QNN_DLC | float | Qualcomm® QCS8275 | 807.424 ms | 3 - 1186 MB | NPU
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- | CREStereo | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 205.514 ms | 3 - 5 MB | NPU
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- | CREStereo | QNN_DLC | float | Qualcomm® SA8775P | 273.08 ms | 3 - 1403 MB | NPU
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- | CREStereo | QNN_DLC | float | Qualcomm® SA8650P | 273.08 ms | 3 - 1403 MB | NPU
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- | CREStereo | QNN_DLC | float | Qualcomm® SA8255P | 273.08 ms | 3 - 1403 MB | NPU
83
- | CREStereo | QNN_DLC | float | Qualcomm® QCS8450 | 358.307 ms | 2 - 1841 MB | NPU
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- | CREStereo | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 272.205 ms | 2 - 6 MB | NPU
85
- | CREStereo | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 81.623 ms | 1 - 786 MB | NPU
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- | CREStereo | QNN_DLC | float | Qualcomm® SA7255P | 807.424 ms | 3 - 1186 MB | NPU
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- | CREStereo | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 116.402 ms | 2 - 1240 MB | NPU
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- | CREStereo | QNN_DLC | float | Qualcomm® SA8295P | 317.035 ms | 2 - 1390 MB | NPU
89
- | CREStereo | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 116.402 ms | 2 - 1240 MB | NPU
90
- | CREStereo | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 209.682 ms | 2 - 2 MB | NPU
91
- | CREStereo | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 153.2 ms | 0 - 2171 MB | NPU
92
- | CREStereo | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6864.416 ms | 41 - 73 MB | CPU
93
- | CREStereo | TFLITE | float | Qualcomm® QCS8275 | 813.553 ms | 1 - 1599 MB | NPU
94
- | CREStereo | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 214.732 ms | 0 - 7 MB | NPU
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- | CREStereo | TFLITE | float | Qualcomm® SA8775P | 282.035 ms | 1 - 1596 MB | NPU
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- | CREStereo | TFLITE | float | Qualcomm® SA8650P | 282.035 ms | 1 - 1596 MB | NPU
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- | CREStereo | TFLITE | float | Qualcomm® SA8255P | 282.035 ms | 1 - 1596 MB | NPU
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- | CREStereo | TFLITE | float | Qualcomm® QCS8450 | 6864.416 ms | 41 - 73 MB | CPU
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- | CREStereo | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 281.095 ms | 0 - 44 MB | NPU
100
- | CREStereo | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 89.079 ms | 0 - 1270 MB | NPU
101
- | CREStereo | TFLITE | float | Qualcomm® SA7255P | 813.553 ms | 1 - 1599 MB | NPU
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- | CREStereo | TFLITE | float | Snapdragon® 8 Elite Mobile | 122.971 ms | 1 - 1652 MB | NPU
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- | CREStereo | TFLITE | float | Qualcomm® SA8295P | 357.765 ms | 1 - 1858 MB | NPU
104
- | CREStereo | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 122.971 ms | 1 - 1652 MB | NPU
105
 
106
  ## License
107
  * The license for the original implementation of CREStereo can be found
 
14
  CREStereo (Cascaded Recurrent Network with Adaptive Correlation) is a CVPR 2022 Oral paper that achieves state-of-the-art stereo matching accuracy.
15
 
16
  This is based on the implementation of CREStereo found [here](https://github.com/ibaiGorordo/CREStereo-Pytorch).
17
+ 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/v0.59.0/src/qai_hub_models/models/crestereo) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
18
 
19
  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.
20
 
 
27
 
28
  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
+ | 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/crestereo/releases/v0.59.0/crestereo-onnx-float.zip)
31
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/crestereo/releases/v0.59.0/crestereo-tflite-float.zip)
 
32
 
33
  For more device-specific assets and performance metrics, visit **[CREStereo on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/crestereo)**.
34
 
35
 
36
  ### Option 2: Export with Custom Configurations
37
 
38
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/crestereo) Python library to compile and export the model with your own:
39
  - Custom weights (e.g., fine-tuned checkpoints)
40
  - Custom input shapes
41
  - Target device and runtime configurations
42
 
43
  This option is ideal if you need to customize the model beyond the default configuration provided here.
44
 
45
+ See our repository for [CREStereo on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/crestereo) for usage instructions.
46
 
47
  ## Model Details
48
 
 
59
  ## Performance Summary
60
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
61
  |---|---|---|---|---|---|---
62
+ | CREStereo | ONNX | float | Snapdragon® X2 Elite | 91.283 ms | 2 - 2 MB | NPU
63
+ | CREStereo | ONNX | float | Snapdragon® X Elite | 211.043 ms | 23 - 23 MB | NPU
64
+ | CREStereo | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 147.106 ms | 3 - 1522 MB | NPU
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+ | CREStereo | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 356.457 ms | 4 - 1510 MB | NPU
66
+ | CREStereo | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 206.458 ms | 0 - 30 MB | NPU
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+ | CREStereo | ONNX | float | Qualcomm® QCS8450 | 356.457 ms | 4 - 1510 MB | NPU
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+ | CREStereo | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 318.438 ms | 2 - 5 MB | NPU
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+ | CREStereo | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 211.043 ms | 23 - 23 MB | NPU
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+ | CREStereo | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 116.15 ms | 3 - 1161 MB | NPU
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+ | CREStereo | ONNX | float | Snapdragon® 8 Elite Mobile | 116.15 ms | 3 - 1161 MB | NPU
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+ | CREStereo | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 88.4 ms | 1 - 936 MB | NPU
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+ | CREStereo | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 152.812 ms | 1 - 2171 MB | NPU
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+ | CREStereo | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 378.156 ms | 0 - 2318 MB | NPU
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+ | CREStereo | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 813.393 ms | 1 - 1598 MB | NPU
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+ | CREStereo | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 215.767 ms | 0 - 14 MB | NPU
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+ | CREStereo | TFLITE | float | Qualcomm® SA8775P | 281.954 ms | 1 - 1596 MB | NPU
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+ | CREStereo | TFLITE | float | Qualcomm® SA8650P | 281.954 ms | 1 - 1596 MB | NPU
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+ | CREStereo | TFLITE | float | Qualcomm® SA8255P | 281.954 ms | 1 - 1596 MB | NPU
80
+ | CREStereo | TFLITE | float | Qualcomm® QCS8450 | 378.156 ms | 0 - 2318 MB | NPU
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+ | CREStereo | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 281.064 ms | 0 - 44 MB | NPU
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+ | CREStereo | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 123.347 ms | 1 - 1653 MB | NPU
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+ | CREStereo | TFLITE | float | Qualcomm® SA7255P | 813.393 ms | 1 - 1598 MB | NPU
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+ | CREStereo | TFLITE | float | Qualcomm® SA8295P | 357.7 ms | 1 - 1858 MB | NPU
85
+ | CREStereo | TFLITE | float | Snapdragon® 8 Elite Mobile | 123.347 ms | 1 - 1653 MB | NPU
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+ | CREStereo | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 88.415 ms | 0 - 1271 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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88
  ## License
89
  * The license for the original implementation of CREStereo can be found
release_assets.json CHANGED
@@ -1,25 +1,20 @@
1
  {
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- "version": "0.58.0",
3
  "precisions": {
4
  "float": {
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  "universal_assets": {
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- "tflite": {
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  "tool_versions": {
8
- "litert": "1.4.4"
 
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/crestereo/releases/v0.58.0/crestereo-tflite-float.zip"
11
  },
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- "qnn_dlc": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/crestereo/releases/v0.58.0/crestereo-qnn_dlc-float.zip"
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- },
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- "onnx": {
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- "tool_versions": {
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- "onnx_runtime": "1.25.0"
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- },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/crestereo/releases/v0.58.0/crestereo-onnx-float.zip"
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  }
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  }
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  }
 
1
  {
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+ "version": "0.59.0",
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  "precisions": {
4
  "float": {
5
  "universal_assets": {
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+ "onnx": {
7
  "tool_versions": {
8
+ "qairt": "2.45.0.260326154327",
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+ "onnx_runtime": "1.27.1"
10
  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/crestereo/releases/v0.59.0/crestereo-onnx-float.zip"
12
  },
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+ "tflite": {
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  "tool_versions": {
15
  "qairt": "2.45.0.260326154327"
16
  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/crestereo/releases/v0.59.0/crestereo-tflite-float.zip"
 
 
 
 
 
 
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  }
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  }
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  }