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v0.60.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.60.0 for changelog.

Files changed (2) hide show
  1. README.md +41 -43
  2. release_assets.json +4 -4
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: other
14
  Cross-View Transformer generates real-time bird's-eye view maps from multiple vehicle cameras for autonomous driving.
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  This is based on the implementation of CVT found [here](https://github.com/bradyz/cross_view_transformers).
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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/v0.59.0/src/qai_hub_models/models/cvt) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
18
 
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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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@@ -27,73 +27,71 @@ Below are pre-exported model assets ready for deployment.
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  | 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/cvt/releases/v0.59.0/cvt-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/cvt/releases/v0.59.0/cvt-qnn_dlc-float.zip)
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- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cvt/releases/v0.59.0/cvt-tflite-float.zip)
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  For more device-specific assets and performance metrics, visit **[CVT on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/cvt)**.
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/v0.59.0/src/qai_hub_models/models/cvt) 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 [CVT on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/cvt) for usage instructions.
47
 
48
  ## Model Details
49
 
50
  **Model Type:** Model_use_case.driver_assistance
51
 
52
  **Model Stats:**
53
- - Model checkpoint: vehicles_50k.pt
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  - Inference latency: RealTime
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  - Input resolution: 1x6x3x224x480
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- - Number of parameters: 1.33M
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  - Model size (float): 5.18 MB
 
58
 
59
  ## Performance Summary
60
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
61
  |---|---|---|---|---|---|---
62
- | CVT | ONNX | float | Snapdragon® X2 Elite | 182.88 ms | 8 - 8 MB | NPU
63
- | CVT | ONNX | float | Snapdragon® X Elite | 278.255 ms | 20 - 20 MB | NPU
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- | CVT | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 230.186 ms | 8 - 2694 MB | NPU
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- | CVT | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 436.855 ms | 8 - 2781 MB | NPU
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- | CVT | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 326.174 ms | 0 - 25 MB | NPU
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- | CVT | ONNX | float | Qualcomm® QCS8450 | 436.855 ms | 8 - 2781 MB | NPU
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- | CVT | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 278.255 ms | 20 - 20 MB | NPU
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- | CVT | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 185.751 ms | 3 - 2380 MB | NPU
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- | CVT | ONNX | float | Snapdragon® 8 Elite Mobile | 185.751 ms | 3 - 2380 MB | NPU
71
- | CVT | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 168.937 ms | 3 - 2415 MB | NPU
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- | CVT | QNN_DLC | float | Snapdragon® X2 Elite | 183.244 ms | 7 - 7 MB | NPU
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- | CVT | QNN_DLC | float | Snapdragon® X Elite | 282.174 ms | 7 - 7 MB | NPU
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- | CVT | QNN_DLC | float | Snapdragon�� 8 Gen 3 Mobile | 222.557 ms | 0 - 2568 MB | NPU
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- | CVT | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 437.994 ms | 7 - 2720 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 424.976 ms | 2 - 2214 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 335.702 ms | 8 - 12 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® SA8775P | 292.759 ms | 1 - 2213 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® SA8650P | 292.759 ms | 1 - 2213 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® SA8255P | 292.759 ms | 1 - 2213 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® QCS8450 | 437.994 ms | 7 - 2720 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 282.277 ms | 7 - 17 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 282.174 ms | 7 - 7 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 183.886 ms | 7 - 2297 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® SA7255P | 424.976 ms | 2 - 2214 MB | NPU
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- | CVT | QNN_DLC | float | Qualcomm® SA8295P | 334.683 ms | 0 - 2324 MB | NPU
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- | CVT | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 183.886 ms | 7 - 2297 MB | NPU
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- | CVT | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 169.423 ms | 7 - 2318 MB | NPU
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- | CVT | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 221.677 ms | 1 - 2674 MB | NPU
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- | CVT | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 405.545 ms | 1 - 2726 MB | NPU
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- | CVT | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 319.534 ms | 0 - 4 MB | NPU
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- | CVT | TFLITE | float | Qualcomm® QCS8450 | 405.545 ms | 1 - 2726 MB | NPU
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- | CVT | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 182.745 ms | 1 - 2364 MB | NPU
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- | CVT | TFLITE | float | Qualcomm® SA8295P | 332.107 ms | 0 - 2306 MB | NPU
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- | CVT | TFLITE | float | Snapdragon® 8 Elite Mobile | 182.745 ms | 1 - 2364 MB | NPU
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- | CVT | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 168.2 ms | 0 - 2315 MB | NPU
97
 
98
  ## License
99
  * The license for the original implementation of CVT can be found
 
14
  Cross-View Transformer generates real-time bird's-eye view maps from multiple vehicle cameras for autonomous driving.
15
 
16
  This is based on the implementation of CVT found [here](https://github.com/bradyz/cross_view_transformers).
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/v0.60.0/src/qai_hub_models/models/cvt) 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/cvt/releases/v0.60.0/cvt-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/cvt/releases/v0.60.0/cvt-qnn_dlc-float.zip)
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+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cvt/releases/v0.60.0/cvt-tflite-float.zip)
33
 
34
  For more device-specific assets and performance metrics, visit **[CVT on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/cvt)**.
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/v0.60.0/src/qai_hub_models/models/cvt) 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 [CVT on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/cvt) for usage instructions.
47
 
48
  ## Model Details
49
 
50
  **Model Type:** Model_use_case.driver_assistance
51
 
52
  **Model Stats:**
 
53
  - Inference latency: RealTime
54
  - Input resolution: 1x6x3x224x480
55
+ - Model checkpoint: vehicles_50k.pt
56
  - Model size (float): 5.18 MB
57
+ - Number of parameters: 1.33M
58
 
59
  ## Performance Summary
60
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
61
  |---|---|---|---|---|---|---
62
+ | CVT | ONNX | float | Snapdragon® X2 Elite | 179.93 ms | 8 - 8 MB | NPU
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+ | CVT | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 225.492 ms | 8 - 2726 MB | NPU
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+ | CVT | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 440.517 ms | 8 - 2756 MB | NPU
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+ | CVT | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 333.474 ms | 0 - 23 MB | NPU
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+ | CVT | ONNX | float | Qualcomm® QCS8450 | 440.517 ms | 8 - 2756 MB | NPU
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+ | CVT | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 188.235 ms | 1 - 2394 MB | NPU
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+ | CVT | ONNX | float | Snapdragon® 8 Elite Mobile | 188.235 ms | 1 - 2394 MB | NPU
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+ | CVT | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 166.873 ms | 0 - 2442 MB | NPU
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+ | CVT | QNN_DLC | float | Snapdragon® X2 Elite | 182.316 ms | 7 - 7 MB | NPU
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+ | CVT | QNN_DLC | float | Snapdragon® X Elite | 286.424 ms | 7 - 7 MB | NPU
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+ | CVT | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 224.915 ms | 8 - 2574 MB | NPU
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+ | CVT | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 437.202 ms | 7 - 2720 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 425.474 ms | 2 - 2213 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 333.437 ms | 8 - 10 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® SA8775P | 292.508 ms | 2 - 2213 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® SA8650P | 292.508 ms | 2 - 2213 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® SA8255P | 292.508 ms | 2 - 2213 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® QCS8450 | 437.202 ms | 7 - 2720 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 283.238 ms | 7 - 17 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 286.424 ms | 7 - 7 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 184.434 ms | 7 - 2297 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® SA7255P | 425.474 ms | 2 - 2213 MB | NPU
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+ | CVT | QNN_DLC | float | Qualcomm® SA8295P | 333.241 ms | 0 - 2324 MB | NPU
85
+ | CVT | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 184.434 ms | 7 - 2297 MB | NPU
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+ | CVT | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 167.54 ms | 7 - 2318 MB | NPU
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+ | CVT | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 217.0 ms | 89 - 2762 MB | NPU
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+ | CVT | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 420.379 ms | 1 - 2728 MB | NPU
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+ | CVT | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 324.21 ms | 0 - 4 MB | NPU
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+ | CVT | TFLITE | float | Qualcomm® QCS8450 | 420.379 ms | 1 - 2728 MB | NPU
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+ | CVT | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 182.24 ms | 0 - 2363 MB | NPU
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+ | CVT | TFLITE | float | Qualcomm® SA8295P | 331.54 ms | 0 - 2306 MB | NPU
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+ | CVT | TFLITE | float | Snapdragon® 8 Elite Mobile | 182.24 ms | 0 - 2363 MB | NPU
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+ | CVT | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 165.602 ms | 0 - 2315 MB | NPU
 
 
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96
  ## License
97
  * The license for the original implementation of CVT can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "version": "0.59.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
@@ -8,19 +8,19 @@
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  "qairt": "2.45.0.260326154327",
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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/cvt/releases/v0.59.0/cvt-onnx-float.zip"
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  },
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  "qnn_dlc": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cvt/releases/v0.59.0/cvt-qnn_dlc-float.zip"
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  },
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  "tflite": {
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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/cvt/releases/v0.59.0/cvt-tflite-float.zip"
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  }
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  }
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  }
 
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  {
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+ "version": "0.60.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
 
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  "qairt": "2.45.0.260326154327",
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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/cvt/releases/v0.60.0/cvt-onnx-float.zip"
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  },
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  "qnn_dlc": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cvt/releases/v0.60.0/cvt-qnn_dlc-float.zip"
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  },
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  "tflite": {
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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/cvt/releases/v0.60.0/cvt-tflite-float.zip"
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  }
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  }
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  }