v0.62.0

See https://github.com/qualcomm/ai-hub-models/releases/v0.62.0 for changelog.

README.md

@@ -14,7 +14,7 @@ pipeline_tag: image-to-video
 FOMM is a machine learning model that animates a still image to mirror the movements from a target video.
 
 This is based on the implementation of First-Order-Motion-Model found [here](https://github.com/AliaksandrSiarohin/first-order-model/tree/master).
-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).
+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/v0.62.0/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).
 
 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.
 
@@ -27,21 +27,21 @@ Below are pre-exported model assets ready for deployment.
 
 | Runtime | Precision | Chipset | SDK Versions | Download |
 |---|---|---|---|---|
-| 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)
+| 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/v0.62.0/fomm-onnx-float.zip)
 
 For more device-specific assets and performance metrics, visit **[First-Order-Motion-Model on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fomm)**.
 
 
 ### Option 2: Export with Custom Configurations
 
-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:
+Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.62.0/src/qai_hub_models/models/fomm) Python library to compile and export the model with your own:
 - Custom weights (e.g., fine-tuned checkpoints)
 - Custom input shapes
 - Target device and runtime configurations
 
 This option is ideal if you need to customize the model beyond the default configuration provided here.
 
-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.
+See our repository for [First-Order-Motion-Model on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.62.0/src/qai_hub_models/models/fomm) for usage instructions.
 
 ## Model Details
 
@@ -56,24 +56,26 @@ See our repository for [First-Order-Motion-Model on GitHub](https://github.com/q
 ## Performance Summary
 | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
 |---|---|---|---|---|---|---
-| detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.248 ms | 0 - 37 MB | NPU
-| detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 7.358 ms | 1 - 36 MB | NPU
-| detector | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 6.542 ms | 1 - 4 MB | NPU
-| detector | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.395 ms | 0 - 29 MB | NPU
-| detector | ONNX | float | Qualcomm® QCS8450 | 7.358 ms | 1 - 36 MB | NPU
-| detector | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 5.62 ms | 1 - 4 MB | NPU
-| detector | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 2.914 ms | 0 - 22 MB | NPU
-| detector | ONNX | float | Snapdragon® 8 Elite Mobile | 2.914 ms | 0 - 22 MB | NPU
-| detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.745 ms | 0 - 22 MB | NPU
-| generator | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 16.249 ms | 16 - 210 MB | NPU
-| generator | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 37.026 ms | 17 - 206 MB | NPU
-| generator | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 39.379 ms | 16 - 20 MB | NPU
-| generator | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 21.801 ms | 18 - 20 MB | NPU
-| generator | ONNX | float | Qualcomm® QCS8450 | 37.026 ms | 17 - 206 MB | NPU
-| generator | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 34.301 ms | 17 - 20 MB | NPU
-| generator | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 13.233 ms | 14 - 177 MB | NPU
-| generator | ONNX | float | Snapdragon® 8 Elite Mobile | 13.233 ms | 14 - 177 MB | NPU
-| generator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 11.064 ms | 15 - 187 MB | NPU
+| detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.251 ms | 0 - 33 MB | NPU
+| detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 7.261 ms | 1 - 36 MB | NPU
+| detector | ONNX | float | Qualcomm® Dragonwing�� IQ-8275 | 6.553 ms | 1 - 4 MB | NPU
+| detector | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.387 ms | 0 - 29 MB | NPU
+| detector | ONNX | float | Qualcomm® QCS8450 | 7.261 ms | 1 - 36 MB | NPU
+| detector | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 5.619 ms | 1 - 4 MB | NPU
+| detector | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 2.917 ms | 0 - 21 MB | NPU
+| detector | ONNX | float | Snapdragon® 8 Elite Mobile | 2.917 ms | 0 - 21 MB | NPU
+| detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.748 ms | 0 - 26 MB | NPU
+| detector | TFLITE | float | Qualcomm® SA7255P | 21.716 ms | 0 - 22 MB | NPU
+| generator | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 16.195 ms | 0 - 192 MB | NPU
+| generator | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 36.988 ms | 16 - 204 MB | NPU
+| generator | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 38.97 ms | 16 - 20 MB | NPU
+| generator | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 21.747 ms | 18 - 20 MB | NPU
+| generator | ONNX | float | Qualcomm® QCS8450 | 36.988 ms | 16 - 204 MB | NPU
+| generator | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 34.741 ms | 18 - 21 MB | NPU
+| generator | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 12.914 ms | 13 - 176 MB | NPU
+| generator | ONNX | float | Snapdragon® 8 Elite Mobile | 12.914 ms | 13 - 176 MB | NPU
+| generator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 11.013 ms | 16 - 186 MB | NPU
+| generator | TFLITE | float | Qualcomm® SA7255P | 2850.009 ms | 21 - 37 MB | CPU
 
 ## License
 * The license for the original implementation of First-Order-Motion-Model can be found

release_assets.json

@@ -1,5 +1,5 @@
 {
-    "version": "0.61.0",
+    "version": "0.62.0",
     "precisions": {
         "float": {
             "universal_assets": {
@@ -8,7 +8,7 @@
                         "qairt": "2.45.0.260326154327",
                         "onnx_runtime": "1.27.1"
                     },
-                    "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"
+                    "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fomm/releases/v0.62.0/fomm-onnx-float.zip"
                 }
             }
         }