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CavaFace

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v0.58.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.58.0 for changelog.

Files changed (2) hide show
  1. README.md +48 -45
  2. release_assets.json +4 -4
README.md CHANGED
@@ -16,7 +16,7 @@ pipeline_tag: object-detection
16
  A PyTorch-based framework for training face recognition models that generates facial embeddings for verification and identification tasks
17
 
18
  This is based on the implementation of CavaFace found [here](https://github.com/cavalleria/cavaface).
19
- 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/v0.57.3/src/qai_hub_models/models/cavaface) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  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.
22
 
@@ -29,23 +29,23 @@ Below are pre-exported model assets ready for deployment.
29
 
30
  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cavaface/releases/v0.57.3/cavaface-onnx-float.zip)
33
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cavaface/releases/v0.57.3/cavaface-qnn_dlc-float.zip)
34
- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cavaface/releases/v0.57.3/cavaface-tflite-float.zip)
35
 
36
  For more device-specific assets and performance metrics, visit **[CavaFace on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/cavaface)**.
37
 
38
 
39
  ### Option 2: Export with Custom Configurations
40
 
41
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/cavaface) Python library to compile and export the model with your own:
42
  - Custom weights (e.g., fine-tuned checkpoints)
43
  - Custom input shapes
44
  - Target device and runtime configurations
45
 
46
  This option is ideal if you need to customize the model beyond the default configuration provided here.
47
 
48
- See our repository for [CavaFace on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/cavaface) for usage instructions.
49
 
50
  ## Model Details
51
 
@@ -60,45 +60,48 @@ See our repository for [CavaFace on GitHub](https://github.com/qualcomm/ai-hub-m
60
  ## Performance Summary
61
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
62
  |---|---|---|---|---|---|---
63
- | CavaFace | ONNX | float | Snapdragon® X2 Elite | 2.336 ms | 212 - 212 MB | NPU
64
- | CavaFace | ONNX | float | Snapdragon® X Elite | 4.312 ms | 149 - 149 MB | NPU
65
- | CavaFace | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.207 ms | 0 - 125 MB | NPU
66
- | CavaFace | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 9.514 ms | 0 - 219 MB | NPU
67
- | CavaFace | ONNX | float | Qualcomm® QCS8550 (Proxy) | 4.339 ms | 0 - 132 MB | NPU
68
- | CavaFace | ONNX | float | Qualcomm® QCS8450 | 9.514 ms | 0 - 219 MB | NPU
69
- | CavaFace | ONNX | float | Snapdragon® 8 Elite Mobile | 2.628 ms | 0 - 88 MB | NPU
70
- | CavaFace | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.252 ms | 0 - 86 MB | NPU
71
- | CavaFace | ONNX | float | Qualcomm® QCS9075 | 6.751 ms | 0 - 45 MB | NPU
72
- | CavaFace | ONNX | float | Qualcomm® QCS8750 | 2.628 ms | 0 - 88 MB | NPU
73
- | CavaFace | ONNX | float | Qualcomm® QCS7181 | 4.312 ms | 149 - 149 MB | NPU
74
- | CavaFace | QNN_DLC | float | Snapdragon® X2 Elite | 2.551 ms | 0 - 0 MB | NPU
75
- | CavaFace | QNN_DLC | float | Snapdragon® X Elite | 4.493 ms | 0 - 0 MB | NPU
76
- | CavaFace | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.191 ms | 0 - 129 MB | NPU
77
- | CavaFace | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 9.589 ms | 0 - 221 MB | NPU
78
- | CavaFace | QNN_DLC | float | Qualcomm® QCS8275 | 24.707 ms | 0 - 81 MB | NPU
79
- | CavaFace | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 4.293 ms | 0 - 269 MB | NPU
80
- | CavaFace | QNN_DLC | float | Qualcomm® QCS8450 | 9.589 ms | 0 - 221 MB | NPU
81
- | CavaFace | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2.61 ms | 0 - 83 MB | NPU
82
- | CavaFace | QNN_DLC | float | Qualcomm® SA8295P | 8.006 ms | 0 - 198 MB | NPU
83
- | CavaFace | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.244 ms | 0 - 83 MB | NPU
84
- | CavaFace | QNN_DLC | float | Qualcomm® SA7255P | 24.707 ms | 0 - 81 MB | NPU
85
- | CavaFace | QNN_DLC | float | Qualcomm® QCS9075 | 6.733 ms | 0 - 2 MB | NPU
86
- | CavaFace | QNN_DLC | float | Qualcomm® QCS8750 | 2.61 ms | 0 - 83 MB | NPU
87
- | CavaFace | QNN_DLC | float | Qualcomm® QCS7181 | 4.493 ms | 0 - 0 MB | NPU
88
- | CavaFace | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 3.144 ms | 0 - 245 MB | NPU
89
- | CavaFace | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 9.461 ms | 0 - 333 MB | NPU
90
- | CavaFace | TFLITE | float | Qualcomm® QCS8275 | 24.543 ms | 0 - 95 MB | NPU
91
- | CavaFace | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 4.179 ms | 0 - 2 MB | NPU
92
- | CavaFace | TFLITE | float | Qualcomm® SA8775P | 68.557 ms | 0 - 23 MB | GPU
93
- | CavaFace | TFLITE | float | Qualcomm® SA8650P | 68.557 ms | 0 - 23 MB | GPU
94
- | CavaFace | TFLITE | float | Qualcomm® SA8255P | 68.557 ms | 0 - 23 MB | GPU
95
- | CavaFace | TFLITE | float | Qualcomm® QCS8450 | 9.461 ms | 0 - 333 MB | NPU
96
- | CavaFace | TFLITE | float | Snapdragon® 8 Elite Mobile | 2.583 ms | 0 - 96 MB | NPU
97
- | CavaFace | TFLITE | float | Qualcomm® SA8295P | 7.95 ms | 0 - 210 MB | NPU
98
- | CavaFace | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.224 ms | 0 - 98 MB | NPU
99
- | CavaFace | TFLITE | float | Qualcomm® SA7255P | 24.543 ms | 0 - 95 MB | NPU
100
- | CavaFace | TFLITE | float | Qualcomm® QCS9075 | 6.638 ms | 0 - 128 MB | NPU
101
- | CavaFace | TFLITE | float | Qualcomm® QCS8750 | 2.583 ms | 0 - 96 MB | NPU
 
 
 
102
 
103
  ## License
104
  * The license for the original implementation of CavaFace can be found
 
16
  A PyTorch-based framework for training face recognition models that generates facial embeddings for verification and identification tasks
17
 
18
  This is based on the implementation of CavaFace found [here](https://github.com/cavalleria/cavaface).
19
+ 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/cavaface) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  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.
22
 
 
29
 
30
  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
+ | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cavaface/releases/v0.58.0/cavaface-onnx-float.zip)
33
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cavaface/releases/v0.58.0/cavaface-qnn_dlc-float.zip)
34
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cavaface/releases/v0.58.0/cavaface-tflite-float.zip)
35
 
36
  For more device-specific assets and performance metrics, visit **[CavaFace on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/cavaface)**.
37
 
38
 
39
  ### Option 2: Export with Custom Configurations
40
 
41
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/cavaface) Python library to compile and export the model with your own:
42
  - Custom weights (e.g., fine-tuned checkpoints)
43
  - Custom input shapes
44
  - Target device and runtime configurations
45
 
46
  This option is ideal if you need to customize the model beyond the default configuration provided here.
47
 
48
+ See our repository for [CavaFace on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/cavaface) for usage instructions.
49
 
50
  ## Model Details
51
 
 
60
  ## Performance Summary
61
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
62
  |---|---|---|---|---|---|---
63
+ | CavaFace | ONNX | float | Snapdragon® X2 Elite | 2.336 ms | 1 - 1 MB | NPU
64
+ | CavaFace | ONNX | float | Snapdragon® X Elite | 4.32 ms | 127 - 127 MB | NPU
65
+ | CavaFace | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.204 ms | 0 - 138 MB | NPU
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+ | CavaFace | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 9.559 ms | 0 - 228 MB | NPU
67
+ | CavaFace | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.326 ms | 0 - 131 MB | NPU
68
+ | CavaFace | ONNX | float | Qualcomm® QCS8450 | 9.559 ms | 0 - 228 MB | NPU
69
+ | CavaFace | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 6.695 ms | 0 - 3 MB | NPU
70
+ | CavaFace | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.273 ms | 0 - 89 MB | NPU
71
+ | CavaFace | ONNX | float | Snapdragon® 8 Elite Mobile | 2.627 ms | 0 - 88 MB | NPU
72
+ | CavaFace | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 2.627 ms | 0 - 88 MB | NPU
73
+ | CavaFace | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 4.32 ms | 127 - 127 MB | NPU
74
+ | CavaFace | QNN_DLC | float | Snapdragon® X2 Elite | 2.59 ms | 0 - 0 MB | NPU
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+ | CavaFace | QNN_DLC | float | Snapdragon® X Elite | 4.466 ms | 0 - 0 MB | NPU
76
+ | CavaFace | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.191 ms | 0 - 130 MB | NPU
77
+ | CavaFace | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 9.581 ms | 0 - 220 MB | NPU
78
+ | CavaFace | QNN_DLC | float | Qualcomm® QCS8275 | 24.717 ms | 0 - 81 MB | NPU
79
+ | CavaFace | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.292 ms | 0 - 275 MB | NPU
80
+ | CavaFace | QNN_DLC | float | Qualcomm® SA8775P | 6.967 ms | 0 - 81 MB | NPU
81
+ | CavaFace | QNN_DLC | float | Qualcomm® SA8650P | 6.967 ms | 0 - 81 MB | NPU
82
+ | CavaFace | QNN_DLC | float | Qualcomm® SA8255P | 6.967 ms | 0 - 81 MB | NPU
83
+ | CavaFace | QNN_DLC | float | Qualcomm® QCS8450 | 9.581 ms | 0 - 220 MB | NPU
84
+ | CavaFace | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 6.674 ms | 2 - 4 MB | NPU
85
+ | CavaFace | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.252 ms | 0 - 84 MB | NPU
86
+ | CavaFace | QNN_DLC | float | Qualcomm® SA7255P | 24.717 ms | 0 - 81 MB | NPU
87
+ | CavaFace | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2.622 ms | 0 - 84 MB | NPU
88
+ | CavaFace | QNN_DLC | float | Qualcomm® SA8295P | 8.023 ms | 0 - 199 MB | NPU
89
+ | CavaFace | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 2.622 ms | 0 - 84 MB | NPU
90
+ | CavaFace | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 4.466 ms | 0 - 0 MB | NPU
91
+ | CavaFace | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 3.138 ms | 0 - 244 MB | NPU
92
+ | CavaFace | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 9.449 ms | 0 - 333 MB | NPU
93
+ | CavaFace | TFLITE | float | Qualcomm® QCS8275 | 24.517 ms | 0 - 95 MB | NPU
94
+ | CavaFace | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.157 ms | 0 - 2 MB | NPU
95
+ | CavaFace | TFLITE | float | Qualcomm® SA8775P | 6.888 ms | 0 - 95 MB | NPU
96
+ | CavaFace | TFLITE | float | Qualcomm® SA8650P | 6.888 ms | 0 - 95 MB | NPU
97
+ | CavaFace | TFLITE | float | Qualcomm® SA8255P | 6.888 ms | 0 - 95 MB | NPU
98
+ | CavaFace | TFLITE | float | Qualcomm® QCS8450 | 9.449 ms | 0 - 333 MB | NPU
99
+ | CavaFace | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 6.592 ms | 0 - 128 MB | NPU
100
+ | CavaFace | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.24 ms | 0 - 98 MB | NPU
101
+ | CavaFace | TFLITE | float | Qualcomm® SA7255P | 24.517 ms | 0 - 95 MB | NPU
102
+ | CavaFace | TFLITE | float | Snapdragon® 8 Elite Mobile | 2.579 ms | 0 - 93 MB | NPU
103
+ | CavaFace | TFLITE | float | Qualcomm® SA8295P | 7.977 ms | 0 - 210 MB | NPU
104
+ | CavaFace | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 2.579 ms | 0 - 93 MB | NPU
105
 
106
  ## License
107
  * The license for the original implementation of CavaFace can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "version": "0.57.3",
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  "precisions": {
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  "float": {
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  "universal_assets": {
@@ -8,20 +8,20 @@
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  "qairt": "2.45.0.260326154327",
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  "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/cavaface/releases/v0.57.3/cavaface-tflite-float.zip"
12
  },
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  "qnn_dlc": {
14
  "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/cavaface/releases/v0.57.3/cavaface-qnn_dlc-float.zip"
18
  },
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  "onnx": {
20
  "tool_versions": {
21
  "qairt": "2.45.0.260326154327",
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  "onnx_runtime": "1.25.0"
23
  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cavaface/releases/v0.57.3/cavaface-onnx-float.zip"
25
  }
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  }
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  }
 
1
  {
2
+ "version": "0.58.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
 
8
  "qairt": "2.45.0.260326154327",
9
  "litert": "1.4.4"
10
  },
11
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cavaface/releases/v0.58.0/cavaface-tflite-float.zip"
12
  },
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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/cavaface/releases/v0.58.0/cavaface-qnn_dlc-float.zip"
18
  },
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
22
  "onnx_runtime": "1.25.0"
23
  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/cavaface/releases/v0.58.0/cavaface-onnx-float.zip"
25
  }
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  }
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  }