Hugging Face's logo

qualcomm
/
SalsaNext

Image Segmentation
PyTorch
bu_auto
android
Model card Files
xet
 Community
qaihm-bot commited on
Commit
2959963
·
verified ·
1 Parent(s): cc8b284

v0.49.1

Browse files

See https://github.com/qualcomm/ai-hub-models/releases/v0.49.1 for changelog.

Files changed (1) hide show
  1. README.md +50 -50
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: image-segmentation
14
 
15
  SalsaNext is a LiDAR-based model designed for efficient and accurate semantic segmentation.
16
 
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/main/qai_hub_models/models/salsanext) 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
 
@@ -27,25 +27,25 @@ Below are pre-exported model assets ready for deployment.
27
 
28
  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
- | ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.48.0/salsanext-onnx-float.zip)
31
- | ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.48.0/salsanext-onnx-w8a16.zip)
32
- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.48.0/salsanext-qnn_dlc-float.zip)
33
- | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.48.0/salsanext-qnn_dlc-w8a16.zip)
34
- | TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.48.0/salsanext-tflite-float.zip)
35
 
36
  For more device-specific assets and performance metrics, visit **[SalsaNext on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/salsanext)**.
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/main/qai_hub_models/models/salsanext) 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 [SalsaNext on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/salsanext) for usage instructions.
49
 
50
  ## Model Details
51
 
@@ -60,48 +60,48 @@ See our repository for [SalsaNext on GitHub](https://github.com/qualcomm/ai-hub-
60
  ## Performance Summary
61
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
62
  |---|---|---|---|---|---|---
63
- | SalsaNext | ONNX | float | Snapdragon® X2 Elite | 15.016 ms | 33 - 33 MB | NPU
64
- | SalsaNext | ONNX | float | Snapdragon® X Elite | 32.478 ms | 33 - 33 MB | NPU
65
- | SalsaNext | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 25.581 ms | 24 - 293 MB | NPU
66
- | SalsaNext | ONNX | float | Qualcomm® QCS8550 (Proxy) | 34.553 ms | 23 - 28 MB | NPU
67
- | SalsaNext | ONNX | float | Qualcomm® QCS9075 | 39.948 ms | 23 - 25 MB | NPU
68
- | SalsaNext | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 18.594 ms | 21 - 209 MB | NPU
69
- | SalsaNext | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 15.584 ms | 24 - 215 MB | NPU
70
- | SalsaNext | ONNX | w8a16 | Snapdragon® X2 Elite | 16.662 ms | 16 - 16 MB | NPU
71
- | SalsaNext | ONNX | w8a16 | Snapdragon® X Elite | 34.291 ms | 18 - 18 MB | NPU
72
- | SalsaNext | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 29.256 ms | 13 - 297 MB | NPU
73
- | SalsaNext | ONNX | w8a16 | Qualcomm® QCS6490 | 3780.547 ms | 357 - 361 MB | CPU
74
- | SalsaNext | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 36.503 ms | 10 - 371 MB | NPU
75
- | SalsaNext | ONNX | w8a16 | Qualcomm® QCS9075 | 34.256 ms | 12 - 15 MB | NPU
76
- | SalsaNext | ONNX | w8a16 | Qualcomm® QCM6690 | 2030.785 ms | 290 - 299 MB | CPU
77
- | SalsaNext | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 23.989 ms | 14 - 216 MB | NPU
78
- | SalsaNext | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1831.046 ms | 368 - 377 MB | CPU
79
- | SalsaNext | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 18.524 ms | 12 - 208 MB | NPU
80
- | SalsaNext | QNN_DLC | float | Snapdragon® X2 Elite | 15.188 ms | 3 - 3 MB | NPU
81
- | SalsaNext | QNN_DLC | float | Snapdragon® X Elite | 30.098 ms | 3 - 3 MB | NPU
82
- | SalsaNext | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 22.614 ms | 3 - 264 MB | NPU
83
- | SalsaNext | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 116.643 ms | 2 - 178 MB | NPU
84
- | SalsaNext | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 30.492 ms | 3 - 4 MB | NPU
85
- | SalsaNext | QNN_DLC | float | Qualcomm® QCS9075 | 40.037 ms | 3 - 17 MB | NPU
86
- | SalsaNext | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 54.964 ms | 2 - 297 MB | NPU
87
- | SalsaNext | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 20.92 ms | 0 - 185 MB | NPU
88
- | SalsaNext | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 15.375 ms | 3 - 190 MB | NPU
89
- | SalsaNext | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 18.338 ms | 1 - 1 MB | NPU
90
- | SalsaNext | QNN_DLC | w8a16 | Snapdragon® X Elite | 43.785 ms | 1 - 1 MB | NPU
91
- | SalsaNext | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 34.222 ms | 0 - 366 MB | NPU
92
- | SalsaNext | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 76.982 ms | 1 - 257 MB | NPU
93
- | SalsaNext | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 45.857 ms | 1 - 3 MB | NPU
94
- | SalsaNext | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 50.235 ms | 1 - 9 MB | NPU
95
- | SalsaNext | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 82.618 ms | 1 - 424 MB | NPU
96
- | SalsaNext | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 28.685 ms | 1 - 276 MB | NPU
97
- | SalsaNext | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 19.382 ms | 1 - 314 MB | NPU
98
- | SalsaNext | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 22.77 ms | 9 - 276 MB | NPU
99
- | SalsaNext | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 116.827 ms | 0 - 178 MB | NPU
100
- | SalsaNext | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 30.691 ms | 6 - 8 MB | NPU
101
- | SalsaNext | TFLITE | float | Qualcomm® QCS9075 | 39.693 ms | 10 - 38 MB | NPU
102
- | SalsaNext | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 54.381 ms | 10 - 310 MB | NPU
103
- | SalsaNext | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 18.446 ms | 10 - 197 MB | NPU
104
- | SalsaNext | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 15.544 ms | 10 - 199 MB | NPU
105
 
106
  ## License
107
  * The license for the original implementation of SalsaNext can be found
 
14
 
15
  SalsaNext is a LiDAR-based model designed for efficient and accurate semantic segmentation.
16
 
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/tree/v0.49.1/qai_hub_models/models/salsanext) 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 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.49.1/salsanext-onnx-float.zip)
31
+ | ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.49.1/salsanext-onnx-w8a16.zip)
32
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.49.1/salsanext-qnn_dlc-float.zip)
33
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.49.1/salsanext-qnn_dlc-w8a16.zip)
34
+ | TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/salsanext/releases/v0.49.1/salsanext-tflite-float.zip)
35
 
36
  For more device-specific assets and performance metrics, visit **[SalsaNext on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/salsanext)**.
37
 
38
 
39
  ### Option 2: Export with Custom Configurations
40
 
41
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/salsanext) 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 [SalsaNext on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/salsanext) 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
+ | SalsaNext | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 15.587 ms | 14 - 204 MB | NPU
64
+ | SalsaNext | ONNX | float | Snapdragon® X2 Elite | 15.046 ms | 33 - 33 MB | NPU
65
+ | SalsaNext | ONNX | float | Snapdragon® X Elite | 32.536 ms | 33 - 33 MB | NPU
66
+ | SalsaNext | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 25.689 ms | 25 - 294 MB | NPU
67
+ | SalsaNext | ONNX | float | Qualcomm® QCS8550 (Proxy) | 33.869 ms | 23 - 25 MB | NPU
68
+ | SalsaNext | ONNX | float | Qualcomm® QCS9075 | 40.203 ms | 24 - 27 MB | NPU
69
+ | SalsaNext | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 18.598 ms | 23 - 212 MB | NPU
70
+ | SalsaNext | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 18.513 ms | 13 - 209 MB | NPU
71
+ | SalsaNext | ONNX | w8a16 | Snapdragon® X2 Elite | 16.597 ms | 16 - 16 MB | NPU
72
+ | SalsaNext | ONNX | w8a16 | Snapdragon® X Elite | 34.38 ms | 18 - 18 MB | NPU
73
+ | SalsaNext | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 29.374 ms | 15 - 304 MB | NPU
74
+ | SalsaNext | ONNX | w8a16 | Qualcomm® QCS6490 | 3794.996 ms | 357 - 361 MB | CPU
75
+ | SalsaNext | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 36.105 ms | 10 - 22 MB | NPU
76
+ | SalsaNext | ONNX | w8a16 | Qualcomm® QCS9075 | 34.234 ms | 14 - 17 MB | NPU
77
+ | SalsaNext | ONNX | w8a16 | Qualcomm® QCM6690 | 2029.684 ms | 327 - 336 MB | CPU
78
+ | SalsaNext | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 24.348 ms | 12 - 211 MB | NPU
79
+ | SalsaNext | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1829.089 ms | 389 - 398 MB | CPU
80
+ | SalsaNext | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 15.371 ms | 3 - 191 MB | NPU
81
+ | SalsaNext | QNN_DLC | float | Snapdragon® X2 Elite | 14.969 ms | 3 - 3 MB | NPU
82
+ | SalsaNext | QNN_DLC | float | Snapdragon® X Elite | 30.163 ms | 3 - 3 MB | NPU
83
+ | SalsaNext | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 22.362 ms | 0 - 261 MB | NPU
84
+ | SalsaNext | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 117.213 ms | 1 - 177 MB | NPU
85
+ | SalsaNext | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 30.523 ms | 3 - 63 MB | NPU
86
+ | SalsaNext | QNN_DLC | float | Qualcomm® QCS9075 | 40.093 ms | 3 - 17 MB | NPU
87
+ | SalsaNext | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 54.675 ms | 0 - 295 MB | NPU
88
+ | SalsaNext | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 21.137 ms | 3 - 187 MB | NPU
89
+ | SalsaNext | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 19.798 ms | 1 - 314 MB | NPU
90
+ | SalsaNext | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 18.42 ms | 1 - 1 MB | NPU
91
+ | SalsaNext | QNN_DLC | w8a16 | Snapdragon® X Elite | 43.732 ms | 1 - 1 MB | NPU
92
+ | SalsaNext | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 34.125 ms | 1 - 368 MB | NPU
93
+ | SalsaNext | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 76.99 ms | 1 - 257 MB | NPU
94
+ | SalsaNext | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 45.505 ms | 1 - 3 MB | NPU
95
+ | SalsaNext | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 49.855 ms | 3 - 11 MB | NPU
96
+ | SalsaNext | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 84.019 ms | 1 - 423 MB | NPU
97
+ | SalsaNext | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 28.605 ms | 1 - 276 MB | NPU
98
+ | SalsaNext | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 15.369 ms | 10 - 198 MB | NPU
99
+ | SalsaNext | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 22.213 ms | 0 - 265 MB | NPU
100
+ | SalsaNext | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 116.748 ms | 10 - 188 MB | NPU
101
+ | SalsaNext | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 30.621 ms | 6 - 8 MB | NPU
102
+ | SalsaNext | TFLITE | float | Qualcomm® QCS9075 | 39.69 ms | 10 - 38 MB | NPU
103
+ | SalsaNext | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 55.919 ms | 0 - 302 MB | NPU
104
+ | SalsaNext | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 18.403 ms | 9 - 195 MB | NPU
105
 
106
  ## License
107
  * The license for the original implementation of SalsaNext can be found