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CenterPoint

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v0.64.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.64.0 for changelog.

Files changed (2) hide show
  1. README.md +43 -40
  2. release_assets.json +5 -5
README.md CHANGED
@@ -13,7 +13,7 @@ pipeline_tag: other
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  CenterPoint is a LiDAR-based 3D object detection model that detects objects by predicting their centers and regressing other attributes. It is designed for high accuracy and real-time performance in autonomous driving applications.
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- 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/v0.63.0/src/qai_hub_models/models/centerpoint) 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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@@ -26,23 +26,23 @@ 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 | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.63.0/centerpoint-onnx-float.zip)
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- | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.63.0/centerpoint-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/centerpoint/releases/v0.63.0/centerpoint-tflite-float.zip)
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  For more device-specific assets and performance metrics, visit **[CenterPoint on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/centerpoint)**.
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  ### Option 2: Export with Custom Configurations
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- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/centerpoint) Python library to compile and export the model with your own:
39
  - Custom weights (e.g., fine-tuned checkpoints)
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  - Custom input shapes
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  - Target device and runtime configurations
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  This option is ideal if you need to customize the model beyond the default configuration provided here.
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- See our repository for [CenterPoint on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/centerpoint) for usage instructions.
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  ## Model Details
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@@ -57,40 +57,43 @@ See our repository for [CenterPoint on GitHub](https://github.com/qualcomm/ai-hu
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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  |---|---|---|---|---|---|---
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- | CenterPoint | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 167.16 ms | 1056 - 1516 MB | NPU
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- | CenterPoint | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 198.473 ms | 1056 - 1532 MB | NPU
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- | CenterPoint | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 235.887 ms | 1057 - 1836 MB | NPU
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- | CenterPoint | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 424.968 ms | 1052 - 1811 MB | NPU
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- | CenterPoint | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 304.761 ms | 1017 - 1115 MB | NPU
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- | CenterPoint | ONNX | float | Qualcomm® QCS8450 | 424.968 ms | 1052 - 1811 MB | NPU
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- | CenterPoint | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 198.473 ms | 1056 - 1532 MB | NPU
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- | CenterPoint | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 127.153 ms | 0 - 362 MB | NPU
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- | CenterPoint | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 147.115 ms | 0 - 361 MB | NPU
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- | CenterPoint | QNN_DLC | float | Snapdragon® X2 Elite | 121.005 ms | 2 - 2 MB | NPU
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- | CenterPoint | QNN_DLC | float | Snapdragon® X Elite | 201.411 ms | 2 - 2 MB | NPU
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- | CenterPoint | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 160.482 ms | 2 - 605 MB | NPU
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- | CenterPoint | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 283.124 ms | 1 - 580 MB | NPU
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- | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 277.106 ms | 2 - 12 MB | NPU
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- | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 214.063 ms | 2 - 6 MB | NPU
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- | CenterPoint | QNN_DLC | float | Qualcomm® QCS8450 | 283.124 ms | 1 - 580 MB | NPU
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- | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 269.711 ms | 2 - 11 MB | NPU
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- | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 201.411 ms | 2 - 2 MB | NPU
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- | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 147.115 ms | 0 - 361 MB | NPU
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- | CenterPoint | QNN_DLC | float | Qualcomm® SA8295P | 293.796 ms | 1 - 338 MB | NPU
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- | CenterPoint | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 859.757 ms | 1808 - 1816 MB | CPU
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- | CenterPoint | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2832.77 ms | 1838 - 1849 MB | CPU
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- | CenterPoint | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 4217.244 ms | 1847 - 1855 MB | CPU
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- | CenterPoint | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 5424.656 ms | 1838 - 1848 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 6081.133 ms | 1855 - 1877 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4752.043 ms | 1813 - 1839 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® SA8775P | 5474.985 ms | 1810 - 1815 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® SA8650P | 5474.985 ms | 1810 - 1815 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® SA8255P | 5474.985 ms | 1810 - 1815 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® QCS8450 | 5424.656 ms | 1838 - 1848 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 5218.529 ms | 1857 - 1879 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 2832.77 ms | 1838 - 1849 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® SA7255P | 6373.846 ms | 1848 - 1857 MB | CPU
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- | CenterPoint | TFLITE | float | Qualcomm® SA8295P | 3674.743 ms | 1808 - 1813 MB | CPU
 
 
 
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  ## License
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  * The license for the original implementation of CenterPoint can be found
 
13
 
14
  CenterPoint is a LiDAR-based 3D object detection model that detects objects by predicting their centers and regressing other attributes. It is designed for high accuracy and real-time performance in autonomous driving applications.
15
 
16
+ 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/v0.64.0/src/qai_hub_models/models/centerpoint) 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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  | Runtime | Precision | Chipset | SDK Versions | Download |
28
  |---|---|---|---|---|
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+ | ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.64.0/centerpoint-onnx-float.zip)
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+ | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.64.0/centerpoint-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/centerpoint/releases/v0.64.0/centerpoint-tflite-float.zip)
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  For more device-specific assets and performance metrics, visit **[CenterPoint on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/centerpoint)**.
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/v0.64.0/src/qai_hub_models/models/centerpoint) 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 [CenterPoint on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/centerpoint) for usage instructions.
46
 
47
  ## Model Details
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
59
  |---|---|---|---|---|---|---
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+ | CenterPoint | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 166.257 ms | 1054 - 1514 MB | NPU
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+ | CenterPoint | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 199.626 ms | 1056 - 1531 MB | NPU
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+ | CenterPoint | ONNX | float | Snapdragon® X2 Elite | 169.745 ms | 1062 - 1062 MB | NPU
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+ | CenterPoint | ONNX | float | Snapdragon® X Elite | 271.818 ms | 1062 - 1062 MB | NPU
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+ | CenterPoint | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 240.951 ms | 1056 - 1835 MB | NPU
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+ | CenterPoint | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 435.243 ms | 1052 - 1811 MB | NPU
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+ | CenterPoint | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 306.634 ms | 1056 - 1059 MB | NPU
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+ | CenterPoint | ONNX | float | Qualcomm® QCS8450 | 435.243 ms | 1052 - 1811 MB | NPU
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+ | CenterPoint | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 271.818 ms | 1062 - 1062 MB | NPU
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+ | CenterPoint | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 199.626 ms | 1056 - 1531 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 126.734 ms | 0 - 361 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 147.498 ms | 0 - 360 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Snapdragon® X2 Elite | 120.268 ms | 2 - 2 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Snapdragon® X Elite | 201.798 ms | 2 - 2 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 161.847 ms | 0 - 598 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 289.674 ms | 2 - 582 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 278.391 ms | 2 - 12 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 217.683 ms | 3 - 6 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Qualcomm® QCS8450 | 289.674 ms | 2 - 582 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 269.41 ms | 2 - 11 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 201.798 ms | 2 - 2 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 147.498 ms | 0 - 360 MB | NPU
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+ | CenterPoint | QNN_DLC | float | Qualcomm® SA8295P | 293.362 ms | 1 - 338 MB | NPU
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+ | CenterPoint | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 864.369 ms | 1806 - 1817 MB | CPU
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+ | CenterPoint | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2615.399 ms | 1808 - 1816 MB | CPU
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+ | CenterPoint | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 3963.568 ms | 1832 - 1841 MB | CPU
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+ | CenterPoint | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 5145.468 ms | 1837 - 1846 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 6088.403 ms | 1855 - 1877 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4819.774 ms | 1832 - 1834 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® SA8775P | 5469.373 ms | 1808 - 1814 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® SA8650P | 5469.373 ms | 1808 - 1814 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® SA8255P | 5469.373 ms | 1808 - 1814 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® QCS8450 | 5145.468 ms | 1837 - 1846 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 5233.736 ms | 1858 - 1879 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 2615.399 ms | 1808 - 1816 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® SA7255P | 6365.672 ms | 1850 - 1859 MB | CPU
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+ | CenterPoint | TFLITE | float | Qualcomm® SA8295P | 3632.602 ms | 1806 - 1812 MB | CPU
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  ## License
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  * The license for the original implementation of CenterPoint can be found
release_assets.json CHANGED
@@ -1,24 +1,24 @@
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  {
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- "version": "0.63.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209",
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- "onnx_runtime": "1.27.1"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.63.0/centerpoint-onnx-float.zip"
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  },
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  "qnn_dlc": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.63.0/centerpoint-qnn_dlc-float.zip"
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  },
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  "tflite": {
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  "tool_versions": {},
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.63.0/centerpoint-tflite-float.zip"
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  }
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  }
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  }
 
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  {
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+ "version": "0.64.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209",
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+ "onnx_runtime": "1.30.0"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.64.0/centerpoint-onnx-float.zip"
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  },
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  "qnn_dlc": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.64.0/centerpoint-qnn_dlc-float.zip"
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  },
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  "tflite": {
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  "tool_versions": {},
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centerpoint/releases/v0.64.0/centerpoint-tflite-float.zip"
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  }
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  }
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  }