qaihm-bot commited on
Commit
fdc1454
·
verified ·
1 Parent(s): 511bd0a

See https://github.com/qualcomm/ai-hub-models/releases/v0.61.0 for changelog.

Files changed (2) hide show
  1. README.md +21 -21
  2. release_assets.json +2 -2
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  library_name: pytorch
3
- license: other
4
  tags:
5
  - android
6
  pipeline_tag: image-to-video
@@ -14,7 +14,7 @@ pipeline_tag: image-to-video
14
  FOMM is a machine learning model that animates a still image to mirror the movements from a target video.
15
 
16
  This is based on the implementation of First-Order-Motion-Model found [here](https://github.com/AliaksandrSiarohin/first-order-model/tree/master).
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/fomm) 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
 
@@ -27,21 +27,21 @@ Below are pre-exported model assets ready for deployment.
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/fomm/releases/v0.60.0/fomm-onnx-float.zip)
31
 
32
  For more device-specific assets and performance metrics, visit **[First-Order-Motion-Model on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fomm)**.
33
 
34
 
35
  ### Option 2: Export with Custom Configurations
36
 
37
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/fomm) Python library to compile and export the model with your own:
38
  - Custom weights (e.g., fine-tuned checkpoints)
39
  - Custom input shapes
40
  - Target device and runtime configurations
41
 
42
  This option is ideal if you need to customize the model beyond the default configuration provided here.
43
 
44
- See our repository for [First-Order-Motion-Model on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/fomm) for usage instructions.
45
 
46
  ## Model Details
47
 
@@ -56,24 +56,24 @@ See our repository for [First-Order-Motion-Model on GitHub](https://github.com/q
56
  ## Performance Summary
57
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
58
  |---|---|---|---|---|---|---
59
- | detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.248 ms | 0 - 39 MB | NPU
60
- | detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 7.19 ms | 1 - 37 MB | NPU
61
- | detector | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 6.551 ms | 1 - 4 MB | NPU
62
- | detector | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.379 ms | 0 - 29 MB | NPU
63
- | detector | ONNX | float | Qualcomm® QCS8450 | 7.19 ms | 1 - 37 MB | NPU
64
- | detector | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 5.618 ms | 1 - 4 MB | NPU
65
  | detector | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 2.914 ms | 0 - 22 MB | NPU
66
  | detector | ONNX | float | Snapdragon® 8 Elite Mobile | 2.914 ms | 0 - 22 MB | NPU
67
- | detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.746 ms | 0 - 27 MB | NPU
68
- | generator | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 16.159 ms | 20 - 211 MB | NPU
69
- | generator | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 36.979 ms | 16 - 205 MB | NPU
70
- | generator | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 39.104 ms | 16 - 20 MB | NPU
71
- | generator | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 21.818 ms | 0 - 98 MB | NPU
72
- | generator | ONNX | float | Qualcomm® QCS8450 | 36.979 ms | 16 - 205 MB | NPU
73
- | generator | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 34.375 ms | 18 - 22 MB | NPU
74
- | generator | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 13.312 ms | 16 - 179 MB | NPU
75
- | generator | ONNX | float | Snapdragon® 8 Elite Mobile | 13.312 ms | 16 - 179 MB | NPU
76
- | generator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 10.647 ms | 12 - 184 MB | NPU
77
 
78
  ## License
79
  * The license for the original implementation of First-Order-Motion-Model can be found
 
1
  ---
2
  library_name: pytorch
3
+ license: mit
4
  tags:
5
  - android
6
  pipeline_tag: image-to-video
 
14
  FOMM is a machine learning model that animates a still image to mirror the movements from a target video.
15
 
16
  This is based on the implementation of First-Order-Motion-Model found [here](https://github.com/AliaksandrSiarohin/first-order-model/tree/master).
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/v0.61.0/src/qai_hub_models/models/fomm) 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/fomm/releases/v0.61.0/fomm-onnx-float.zip)
31
 
32
  For more device-specific assets and performance metrics, visit **[First-Order-Motion-Model on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fomm)**.
33
 
34
 
35
  ### Option 2: Export with Custom Configurations
36
 
37
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/fomm) Python library to compile and export the model with your own:
38
  - Custom weights (e.g., fine-tuned checkpoints)
39
  - Custom input shapes
40
  - Target device and runtime configurations
41
 
42
  This option is ideal if you need to customize the model beyond the default configuration provided here.
43
 
44
+ See our repository for [First-Order-Motion-Model on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/fomm) for usage instructions.
45
 
46
  ## Model Details
47
 
 
56
  ## Performance Summary
57
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
58
  |---|---|---|---|---|---|---
59
+ | detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.248 ms | 0 - 37 MB | NPU
60
+ | detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 7.358 ms | 1 - 36 MB | NPU
61
+ | detector | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 6.542 ms | 1 - 4 MB | NPU
62
+ | detector | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.395 ms | 0 - 29 MB | NPU
63
+ | detector | ONNX | float | Qualcomm® QCS8450 | 7.358 ms | 1 - 36 MB | NPU
64
+ | detector | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 5.62 ms | 1 - 4 MB | NPU
65
  | detector | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 2.914 ms | 0 - 22 MB | NPU
66
  | detector | ONNX | float | Snapdragon® 8 Elite Mobile | 2.914 ms | 0 - 22 MB | NPU
67
+ | detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.745 ms | 0 - 22 MB | NPU
68
+ | generator | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 16.249 ms | 16 - 210 MB | NPU
69
+ | generator | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 37.026 ms | 17 - 206 MB | NPU
70
+ | generator | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 39.379 ms | 16 - 20 MB | NPU
71
+ | generator | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 21.801 ms | 18 - 20 MB | NPU
72
+ | generator | ONNX | float | Qualcomm® QCS8450 | 37.026 ms | 17 - 206 MB | NPU
73
+ | generator | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 34.301 ms | 17 - 20 MB | NPU
74
+ | generator | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 13.233 ms | 14 - 177 MB | NPU
75
+ | generator | ONNX | float | Snapdragon® 8 Elite Mobile | 13.233 ms | 14 - 177 MB | NPU
76
+ | generator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 11.064 ms | 15 - 187 MB | NPU
77
 
78
  ## License
79
  * The license for the original implementation of First-Order-Motion-Model can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "version": "0.60.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
@@ -8,7 +8,7 @@
8
  "qairt": "2.45.0.260326154327",
9
  "onnx_runtime": "1.27.1"
10
  },
11
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fomm/releases/v0.60.0/fomm-onnx-float.zip"
12
  }
13
  }
14
  }
 
1
  {
2
+ "version": "0.61.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
 
8
  "qairt": "2.45.0.260326154327",
9
  "onnx_runtime": "1.27.1"
10
  },
11
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fomm/releases/v0.61.0/fomm-onnx-float.zip"
12
  }
13
  }
14
  }