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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 +28 -28
  2. release_assets.json +4 -4
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: keypoint-detection
15
  6DRepNet predicts head pose (pitch, yaw, roll) from a face image using a RepVGG-B1g2 backbone and a continuous 6D rotation representation, achieving robust and accurate head pose estimation.
16
 
17
  This is based on the implementation of SixDRepNet found [here](https://github.com/thohemp/6DRepNet).
18
- 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/sixd_repnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
19
 
20
  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.
21
 
@@ -28,23 +28,23 @@ Below are pre-exported model assets ready for deployment.
28
 
29
  | Runtime | Precision | Chipset | SDK Versions | Download |
30
  |---|---|---|---|---|
31
- | 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/sixd_repnet/releases/v0.57.3/sixd_repnet-onnx-float.zip)
32
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.57.3/sixd_repnet-qnn_dlc-float.zip)
33
- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.57.3/sixd_repnet-tflite-float.zip)
34
 
35
  For more device-specific assets and performance metrics, visit **[SixDRepNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sixd_repnet)**.
36
 
37
 
38
  ### Option 2: Export with Custom Configurations
39
 
40
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/sixd_repnet) Python library to compile and export the model with your own:
41
  - Custom weights (e.g., fine-tuned checkpoints)
42
  - Custom input shapes
43
  - Target device and runtime configurations
44
 
45
  This option is ideal if you need to customize the model beyond the default configuration provided here.
46
 
47
- See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/sixd_repnet) for usage instructions.
48
 
49
  ## Model Details
50
 
@@ -62,31 +62,31 @@ See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub
62
  | face_detector | ONNX | float | Snapdragon® X Elite | 3.7 ms | 177 - 177 MB | NPU
63
  | face_detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.188 ms | 2 - 156 MB | NPU
64
  | face_detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 6.832 ms | 1 - 165 MB | NPU
65
- | face_detector | ONNX | float | Qualcomm® QCS8550 (Proxy) | 3.519 ms | 0 - 15 MB | NPU
66
  | face_detector | ONNX | float | Qualcomm® QCS8450 | 6.832 ms | 1 - 165 MB | NPU
67
  | face_detector | ONNX | float | Snapdragon® 8 Elite Mobile | 1.722 ms | 0 - 166 MB | NPU
68
  | face_detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.817 ms | 0 - 159 MB | NPU
69
- | face_detector | ONNX | float | Qualcomm® QCS9075 | 5.43 ms | 5 - 50 MB | NPU
70
- | face_detector | ONNX | float | Qualcomm® QCS8750 | 1.722 ms | 0 - 166 MB | NPU
71
- | face_detector | ONNX | float | Qualcomm® QCS7181 | 3.7 ms | 177 - 177 MB | NPU
72
  | face_detector | QNN_DLC | float | Snapdragon® X2 Elite | 5.851 ms | 5 - 5 MB | NPU
73
  | face_detector | QNN_DLC | float | Snapdragon® X Elite | 16.58 ms | 5 - 5 MB | NPU
74
  | face_detector | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.334 ms | 5 - 177 MB | NPU
75
  | face_detector | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 24.527 ms | 3 - 174 MB | NPU
76
  | face_detector | QNN_DLC | float | Qualcomm® QCS8275 | 28.241 ms | 0 - 150 MB | NPU
77
- | face_detector | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 15.615 ms | 5 - 6 MB | NPU
78
  | face_detector | QNN_DLC | float | Qualcomm® QCS8450 | 24.527 ms | 3 - 174 MB | NPU
79
  | face_detector | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 6.918 ms | 0 - 154 MB | NPU
80
  | face_detector | QNN_DLC | float | Qualcomm® SA8295P | 20.645 ms | 0 - 150 MB | NPU
81
  | face_detector | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.455 ms | 5 - 158 MB | NPU
82
  | face_detector | QNN_DLC | float | Qualcomm® SA7255P | 28.241 ms | 0 - 150 MB | NPU
83
- | face_detector | QNN_DLC | float | Qualcomm® QCS9075 | 19.595 ms | 5 - 12 MB | NPU
84
- | face_detector | QNN_DLC | float | Qualcomm® QCS8750 | 6.918 ms | 0 - 154 MB | NPU
85
- | face_detector | QNN_DLC | float | Qualcomm® QCS7181 | 16.58 ms | 5 - 5 MB | NPU
86
  | face_detector | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 9.267 ms | 1 - 168 MB | NPU
87
  | face_detector | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 24.64 ms | 0 - 172 MB | NPU
88
  | face_detector | TFLITE | float | Qualcomm® QCS8275 | 28.279 ms | 1 - 150 MB | NPU
89
- | face_detector | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 15.655 ms | 1 - 3 MB | NPU
90
  | face_detector | TFLITE | float | Qualcomm® SA8775P | 7.778 ms | 1 - 32 MB | GPU
91
  | face_detector | TFLITE | float | Qualcomm® SA8650P | 7.778 ms | 1 - 32 MB | GPU
92
  | face_detector | TFLITE | float | Qualcomm® SA8255P | 7.778 ms | 1 - 32 MB | GPU
@@ -95,37 +95,37 @@ See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub
95
  | face_detector | TFLITE | float | Qualcomm® SA8295P | 20.674 ms | 1 - 151 MB | NPU
96
  | face_detector | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.488 ms | 1 - 154 MB | NPU
97
  | face_detector | TFLITE | float | Qualcomm® SA7255P | 28.279 ms | 1 - 150 MB | NPU
98
- | face_detector | TFLITE | float | Qualcomm® QCS9075 | 19.262 ms | 0 - 9 MB | NPU
99
- | face_detector | TFLITE | float | Qualcomm® QCS8750 | 6.919 ms | 1 - 150 MB | NPU
100
  | pose_estimator | ONNX | float | Snapdragon® X2 Elite | 1.299 ms | 212 - 212 MB | NPU
101
  | pose_estimator | ONNX | float | Snapdragon® X Elite | 2.619 ms | 148 - 148 MB | NPU
102
  | pose_estimator | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.078 ms | 1 - 28 MB | NPU
103
  | pose_estimator | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 5.545 ms | 1 - 27 MB | NPU
104
- | pose_estimator | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.72 ms | 0 - 82 MB | NPU
105
  | pose_estimator | ONNX | float | Qualcomm® QCS8450 | 5.545 ms | 1 - 27 MB | NPU
106
  | pose_estimator | ONNX | float | Snapdragon® 8 Elite Mobile | 1.64 ms | 0 - 24 MB | NPU
107
  | pose_estimator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.331 ms | 1 - 24 MB | NPU
108
- | pose_estimator | ONNX | float | Qualcomm® QCS9075 | 4.548 ms | 1 - 46 MB | NPU
109
- | pose_estimator | ONNX | float | Qualcomm® QCS8750 | 1.64 ms | 0 - 24 MB | NPU
110
- | pose_estimator | ONNX | float | Qualcomm® QCS7181 | 2.619 ms | 148 - 148 MB | NPU
111
  | pose_estimator | QNN_DLC | float | Snapdragon® X2 Elite | 1.479 ms | 1 - 1 MB | NPU
112
  | pose_estimator | QNN_DLC | float | Snapdragon® X Elite | 2.867 ms | 1 - 1 MB | NPU
113
  | pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.236 ms | 0 - 41 MB | NPU
114
  | pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 6.514 ms | 0 - 40 MB | NPU
115
  | pose_estimator | QNN_DLC | float | Qualcomm® QCS8275 | 17.821 ms | 1 - 25 MB | NPU
116
- | pose_estimator | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.776 ms | 1 - 3 MB | NPU
117
  | pose_estimator | QNN_DLC | float | Qualcomm® QCS8450 | 6.514 ms | 0 - 40 MB | NPU
118
  | pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.736 ms | 1 - 27 MB | NPU
119
  | pose_estimator | QNN_DLC | float | Qualcomm® SA8295P | 5.39 ms | 0 - 26 MB | NPU
120
  | pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.424 ms | 1 - 29 MB | NPU
121
  | pose_estimator | QNN_DLC | float | Qualcomm® SA7255P | 17.821 ms | 1 - 25 MB | NPU
122
- | pose_estimator | QNN_DLC | float | Qualcomm® QCS9075 | 4.902 ms | 3 - 5 MB | NPU
123
- | pose_estimator | QNN_DLC | float | Qualcomm® QCS8750 | 1.736 ms | 1 - 27 MB | NPU
124
- | pose_estimator | QNN_DLC | float | Qualcomm® QCS7181 | 2.867 ms | 1 - 1 MB | NPU
125
  | pose_estimator | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.249 ms | 0 - 44 MB | NPU
126
  | pose_estimator | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6.49 ms | 0 - 46 MB | NPU
127
  | pose_estimator | TFLITE | float | Qualcomm® QCS8275 | 17.388 ms | 0 - 26 MB | NPU
128
- | pose_estimator | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.852 ms | 0 - 2 MB | NPU
129
  | pose_estimator | TFLITE | float | Qualcomm® SA8775P | 41.489 ms | 0 - 17 MB | GPU
130
  | pose_estimator | TFLITE | float | Qualcomm® SA8650P | 41.489 ms | 0 - 17 MB | GPU
131
  | pose_estimator | TFLITE | float | Qualcomm® SA8255P | 41.489 ms | 0 - 17 MB | GPU
@@ -134,8 +134,8 @@ See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub
134
  | pose_estimator | TFLITE | float | Qualcomm® SA8295P | 5.356 ms | 0 - 29 MB | NPU
135
  | pose_estimator | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.378 ms | 0 - 29 MB | NPU
136
  | pose_estimator | TFLITE | float | Qualcomm® SA7255P | 17.388 ms | 0 - 26 MB | NPU
137
- | pose_estimator | TFLITE | float | Qualcomm® QCS9075 | 4.739 ms | 0 - 78 MB | NPU
138
- | pose_estimator | TFLITE | float | Qualcomm® QCS8750 | 1.704 ms | 0 - 30 MB | NPU
139
 
140
  ## License
141
  * The license for the original implementation of SixDRepNet can be found
 
15
  6DRepNet predicts head pose (pitch, yaw, roll) from a face image using a RepVGG-B1g2 backbone and a continuous 6D rotation representation, achieving robust and accurate head pose estimation.
16
 
17
  This is based on the implementation of SixDRepNet found [here](https://github.com/thohemp/6DRepNet).
18
+ 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/sixd_repnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
19
 
20
  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.
21
 
 
28
 
29
  | Runtime | Precision | Chipset | SDK Versions | Download |
30
  |---|---|---|---|---|
31
+ | 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/sixd_repnet/releases/v0.58.0/sixd_repnet-onnx-float.zip)
32
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.58.0/sixd_repnet-qnn_dlc-float.zip)
33
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.58.0/sixd_repnet-tflite-float.zip)
34
 
35
  For more device-specific assets and performance metrics, visit **[SixDRepNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sixd_repnet)**.
36
 
37
 
38
  ### Option 2: Export with Custom Configurations
39
 
40
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/sixd_repnet) Python library to compile and export the model with your own:
41
  - Custom weights (e.g., fine-tuned checkpoints)
42
  - Custom input shapes
43
  - Target device and runtime configurations
44
 
45
  This option is ideal if you need to customize the model beyond the default configuration provided here.
46
 
47
+ See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/sixd_repnet) for usage instructions.
48
 
49
  ## Model Details
50
 
 
62
  | face_detector | ONNX | float | Snapdragon® X Elite | 3.7 ms | 177 - 177 MB | NPU
63
  | face_detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.188 ms | 2 - 156 MB | NPU
64
  | face_detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 6.832 ms | 1 - 165 MB | NPU
65
+ | face_detector | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.519 ms | 0 - 15 MB | NPU
66
  | face_detector | ONNX | float | Qualcomm® QCS8450 | 6.832 ms | 1 - 165 MB | NPU
67
  | face_detector | ONNX | float | Snapdragon® 8 Elite Mobile | 1.722 ms | 0 - 166 MB | NPU
68
  | face_detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.817 ms | 0 - 159 MB | NPU
69
+ | face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 5.43 ms | 5 - 50 MB | NPU
70
+ | face_detector | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.722 ms | 0 - 166 MB | NPU
71
+ | face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.7 ms | 177 - 177 MB | NPU
72
  | face_detector | QNN_DLC | float | Snapdragon® X2 Elite | 5.851 ms | 5 - 5 MB | NPU
73
  | face_detector | QNN_DLC | float | Snapdragon® X Elite | 16.58 ms | 5 - 5 MB | NPU
74
  | face_detector | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.334 ms | 5 - 177 MB | NPU
75
  | face_detector | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 24.527 ms | 3 - 174 MB | NPU
76
  | face_detector | QNN_DLC | float | Qualcomm® QCS8275 | 28.241 ms | 0 - 150 MB | NPU
77
+ | face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.615 ms | 5 - 6 MB | NPU
78
  | face_detector | QNN_DLC | float | Qualcomm® QCS8450 | 24.527 ms | 3 - 174 MB | NPU
79
  | face_detector | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 6.918 ms | 0 - 154 MB | NPU
80
  | face_detector | QNN_DLC | float | Qualcomm® SA8295P | 20.645 ms | 0 - 150 MB | NPU
81
  | face_detector | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.455 ms | 5 - 158 MB | NPU
82
  | face_detector | QNN_DLC | float | Qualcomm® SA7255P | 28.241 ms | 0 - 150 MB | NPU
83
+ | face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 19.595 ms | 5 - 12 MB | NPU
84
+ | face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 6.918 ms | 0 - 154 MB | NPU
85
+ | face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.58 ms | 5 - 5 MB | NPU
86
  | face_detector | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 9.267 ms | 1 - 168 MB | NPU
87
  | face_detector | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 24.64 ms | 0 - 172 MB | NPU
88
  | face_detector | TFLITE | float | Qualcomm® QCS8275 | 28.279 ms | 1 - 150 MB | NPU
89
+ | face_detector | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.655 ms | 1 - 3 MB | NPU
90
  | face_detector | TFLITE | float | Qualcomm® SA8775P | 7.778 ms | 1 - 32 MB | GPU
91
  | face_detector | TFLITE | float | Qualcomm® SA8650P | 7.778 ms | 1 - 32 MB | GPU
92
  | face_detector | TFLITE | float | Qualcomm® SA8255P | 7.778 ms | 1 - 32 MB | GPU
 
95
  | face_detector | TFLITE | float | Qualcomm® SA8295P | 20.674 ms | 1 - 151 MB | NPU
96
  | face_detector | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.488 ms | 1 - 154 MB | NPU
97
  | face_detector | TFLITE | float | Qualcomm® SA7255P | 28.279 ms | 1 - 150 MB | NPU
98
+ | face_detector | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 19.262 ms | 0 - 9 MB | NPU
99
+ | face_detector | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 6.919 ms | 1 - 150 MB | NPU
100
  | pose_estimator | ONNX | float | Snapdragon® X2 Elite | 1.299 ms | 212 - 212 MB | NPU
101
  | pose_estimator | ONNX | float | Snapdragon® X Elite | 2.619 ms | 148 - 148 MB | NPU
102
  | pose_estimator | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.078 ms | 1 - 28 MB | NPU
103
  | pose_estimator | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 5.545 ms | 1 - 27 MB | NPU
104
+ | pose_estimator | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.72 ms | 0 - 82 MB | NPU
105
  | pose_estimator | ONNX | float | Qualcomm® QCS8450 | 5.545 ms | 1 - 27 MB | NPU
106
  | pose_estimator | ONNX | float | Snapdragon® 8 Elite Mobile | 1.64 ms | 0 - 24 MB | NPU
107
  | pose_estimator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.331 ms | 1 - 24 MB | NPU
108
+ | pose_estimator | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.548 ms | 1 - 46 MB | NPU
109
+ | pose_estimator | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.64 ms | 0 - 24 MB | NPU
110
+ | pose_estimator | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.619 ms | 148 - 148 MB | NPU
111
  | pose_estimator | QNN_DLC | float | Snapdragon® X2 Elite | 1.479 ms | 1 - 1 MB | NPU
112
  | pose_estimator | QNN_DLC | float | Snapdragon® X Elite | 2.867 ms | 1 - 1 MB | NPU
113
  | pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.236 ms | 0 - 41 MB | NPU
114
  | pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 6.514 ms | 0 - 40 MB | NPU
115
  | pose_estimator | QNN_DLC | float | Qualcomm® QCS8275 | 17.821 ms | 1 - 25 MB | NPU
116
+ | pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.776 ms | 1 - 3 MB | NPU
117
  | pose_estimator | QNN_DLC | float | Qualcomm® QCS8450 | 6.514 ms | 0 - 40 MB | NPU
118
  | pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.736 ms | 1 - 27 MB | NPU
119
  | pose_estimator | QNN_DLC | float | Qualcomm® SA8295P | 5.39 ms | 0 - 26 MB | NPU
120
  | pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.424 ms | 1 - 29 MB | NPU
121
  | pose_estimator | QNN_DLC | float | Qualcomm® SA7255P | 17.821 ms | 1 - 25 MB | NPU
122
+ | pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.902 ms | 3 - 5 MB | NPU
123
+ | pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.736 ms | 1 - 27 MB | NPU
124
+ | pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.867 ms | 1 - 1 MB | NPU
125
  | pose_estimator | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.249 ms | 0 - 44 MB | NPU
126
  | pose_estimator | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6.49 ms | 0 - 46 MB | NPU
127
  | pose_estimator | TFLITE | float | Qualcomm® QCS8275 | 17.388 ms | 0 - 26 MB | NPU
128
+ | pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.852 ms | 0 - 2 MB | NPU
129
  | pose_estimator | TFLITE | float | Qualcomm® SA8775P | 41.489 ms | 0 - 17 MB | GPU
130
  | pose_estimator | TFLITE | float | Qualcomm® SA8650P | 41.489 ms | 0 - 17 MB | GPU
131
  | pose_estimator | TFLITE | float | Qualcomm® SA8255P | 41.489 ms | 0 - 17 MB | GPU
 
134
  | pose_estimator | TFLITE | float | Qualcomm® SA8295P | 5.356 ms | 0 - 29 MB | NPU
135
  | pose_estimator | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.378 ms | 0 - 29 MB | NPU
136
  | pose_estimator | TFLITE | float | Qualcomm® SA7255P | 17.388 ms | 0 - 26 MB | NPU
137
+ | pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.739 ms | 0 - 78 MB | NPU
138
+ | pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.704 ms | 0 - 30 MB | NPU
139
 
140
  ## License
141
  * The license for the original implementation of SixDRepNet can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "version": "0.57.3",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
@@ -8,20 +8,20 @@
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/sixd_repnet/releases/v0.57.3/sixd_repnet-tflite-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.45.0.260326154327"
16
  },
17
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.57.3/sixd_repnet-qnn_dlc-float.zip"
18
  },
19
  "onnx": {
20
  "tool_versions": {
21
  "qairt": "2.45.0.260326154327",
22
  "onnx_runtime": "1.25.0"
23
  },
24
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.57.3/sixd_repnet-onnx-float.zip"
25
  }
26
  }
27
  }
 
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/sixd_repnet/releases/v0.58.0/sixd_repnet-tflite-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.45.0.260326154327"
16
  },
17
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.58.0/sixd_repnet-qnn_dlc-float.zip"
18
  },
19
  "onnx": {
20
  "tool_versions": {
21
  "qairt": "2.45.0.260326154327",
22
  "onnx_runtime": "1.25.0"
23
  },
24
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.58.0/sixd_repnet-onnx-float.zip"
25
  }
26
  }
27
  }