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See https://github.com/qualcomm/ai-hub-models/releases/v0.57.3 for changelog.

Files changed (2) hide show
  1. README.md +9 -9
  2. release_assets.json +7 -7
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: object-detection
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  Designed for sub-millisecond processing, this model predicts bounding boxes and pose skeletons (left eye, right eye, nose tip, mouth, left eye tragion, and right eye tragion) of faces in an image.
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  This is based on the implementation of MediaPipe-Face-Detection found [here](https://github.com/zmurez/MediaPipePyTorch/).
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- 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/v0.57.2/src/qai_hub_models/models/mediapipe_face) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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  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.
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@@ -28,26 +28,26 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
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  |---|---|---|---|---|
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- | 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/mediapipe_face/releases/v0.57.2/mediapipe_face-onnx-float.zip)
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- | ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.2/mediapipe_face-onnx-w8a8.zip)
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- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.2/mediapipe_face-qnn_dlc-float.zip)
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- | QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.2/mediapipe_face-qnn_dlc-w8a8.zip)
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- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.2/mediapipe_face-tflite-float.zip)
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- | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.2/mediapipe_face-tflite-w8a8.zip)
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  For more device-specific assets and performance metrics, visit **[MediaPipe-Face-Detection on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mediapipe_face)**.
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  ### Option 2: Export with Custom Configurations
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- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.2/src/qai_hub_models/models/mediapipe_face) Python library to compile and export the model with your own:
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  - Custom weights (e.g., fine-tuned checkpoints)
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  - Custom input shapes
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  - Target device and runtime configurations
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  This option is ideal if you need to customize the model beyond the default configuration provided here.
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- See our repository for [MediaPipe-Face-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.2/src/qai_hub_models/models/mediapipe_face) for usage instructions.
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  ## Model Details
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  Designed for sub-millisecond processing, this model predicts bounding boxes and pose skeletons (left eye, right eye, nose tip, mouth, left eye tragion, and right eye tragion) of faces in an image.
16
 
17
  This is based on the implementation of MediaPipe-Face-Detection found [here](https://github.com/zmurez/MediaPipePyTorch/).
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+ 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/mediapipe_face) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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  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.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
30
  |---|---|---|---|---|
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+ | 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/mediapipe_face/releases/v0.57.3/mediapipe_face-onnx-float.zip)
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+ | ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.3/mediapipe_face-onnx-w8a8.zip)
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+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.3/mediapipe_face-qnn_dlc-float.zip)
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+ | QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.3/mediapipe_face-qnn_dlc-w8a8.zip)
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+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.3/mediapipe_face-tflite-float.zip)
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+ | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.3/mediapipe_face-tflite-w8a8.zip)
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  For more device-specific assets and performance metrics, visit **[MediaPipe-Face-Detection on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mediapipe_face)**.
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  ### Option 2: Export with Custom Configurations
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43
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/mediapipe_face) Python library to compile and export the model with your own:
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  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
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+ See our repository for [MediaPipe-Face-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/mediapipe_face) for usage instructions.
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  ## Model Details
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release_assets.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "version": "0.57.2",
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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/mediapipe_face/releases/v0.57.2/mediapipe_face-tflite-float.zip"
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  },
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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/mediapipe_face/releases/v0.57.2/mediapipe_face-qnn_dlc-float.zip"
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  },
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
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  "onnx_runtime": "1.25.0"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.2/mediapipe_face-onnx-float.zip"
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  }
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  }
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  },
@@ -32,20 +32,20 @@
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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/mediapipe_face/releases/v0.57.2/mediapipe_face-tflite-w8a8.zip"
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  },
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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/mediapipe_face/releases/v0.57.2/mediapipe_face-qnn_dlc-w8a8.zip"
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  },
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
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  "onnx_runtime": "1.25.0"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.2/mediapipe_face-onnx-w8a8.zip"
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  }
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  }
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  }
 
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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": {
 
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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/mediapipe_face/releases/v0.57.3/mediapipe_face-tflite-float.zip"
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  },
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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/mediapipe_face/releases/v0.57.3/mediapipe_face-qnn_dlc-float.zip"
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  },
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
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  "onnx_runtime": "1.25.0"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.3/mediapipe_face-onnx-float.zip"
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  }
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  }
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  },
 
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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/mediapipe_face/releases/v0.57.3/mediapipe_face-tflite-w8a8.zip"
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  },
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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/mediapipe_face/releases/v0.57.3/mediapipe_face-qnn_dlc-w8a8.zip"
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  },
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
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  "onnx_runtime": "1.25.0"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mediapipe_face/releases/v0.57.3/mediapipe_face-onnx-w8a8.zip"
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  }
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  }
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  }