qaihm-bot commited on
Commit
ded78cc
·
verified ·
1 Parent(s): bb43570

See https://github.com/qualcomm/ai-hub-models/releases/v0.57.2 for changelog.

Files changed (2) hide show
  1. README.md +10 -10
  2. release_assets.json +8 -8
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: object-detection
14
  Detectron2-Detection is a machine learning model that can detect objects (trained on COCO dataset).
15
 
16
  This is based on the implementation of Detectron2-Detection found [here](https://github.com/facebookresearch/detectron2/).
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/v0.57.1/src/qai_hub_models/models/detectron2_detection) 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
 
@@ -27,27 +27,27 @@ 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 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-onnx-float.zip)
31
- | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-onnx-w8a16.zip)
32
- | 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/detectron2_detection/releases/v0.57.1/detectron2_detection-onnx-w8a8.zip)
33
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-qnn_dlc-float.zip)
34
- | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-qnn_dlc-w8a16.zip)
35
- | QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-qnn_dlc-w8a8.zip)
36
- | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-tflite-w8a8.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[Detectron2-Detection on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/detectron2_detection)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.1/src/qai_hub_models/models/detectron2_detection) Python library to compile and export the model with your own:
44
  - 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
 
50
- See our repository for [Detectron2-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.1/src/qai_hub_models/models/detectron2_detection) for usage instructions.
51
 
52
  ## Model Details
53
 
 
14
  Detectron2-Detection is a machine learning model that can detect objects (trained on COCO dataset).
15
 
16
  This is based on the implementation of Detectron2-Detection found [here](https://github.com/facebookresearch/detectron2/).
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/v0.57.2/src/qai_hub_models/models/detectron2_detection) 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 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-onnx-float.zip)
31
+ | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-onnx-w8a16.zip)
32
+ | 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/detectron2_detection/releases/v0.57.2/detectron2_detection-onnx-w8a8.zip)
33
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-qnn_dlc-float.zip)
34
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-qnn_dlc-w8a16.zip)
35
+ | QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-qnn_dlc-w8a8.zip)
36
+ | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-tflite-w8a8.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[Detectron2-Detection on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/detectron2_detection)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.2/src/qai_hub_models/models/detectron2_detection) Python library to compile and export the model with your own:
44
  - 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
 
50
+ See our repository for [Detectron2-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.2/src/qai_hub_models/models/detectron2_detection) for usage instructions.
51
 
52
  ## Model Details
53
 
release_assets.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "version": "0.57.1",
3
  "precisions": {
4
  "w8a8": {
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/detectron2_detection/releases/v0.57.1/detectron2_detection-tflite-w8a8.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/detectron2_detection/releases/v0.57.1/detectron2_detection-qnn_dlc-w8a8.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/detectron2_detection/releases/v0.57.1/detectron2_detection-onnx-w8a8.zip"
25
  }
26
  }
27
  },
@@ -31,14 +31,14 @@
31
  "tool_versions": {
32
  "qairt": "2.45.0.260326154327"
33
  },
34
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-qnn_dlc-w8a16.zip"
35
  },
36
  "onnx": {
37
  "tool_versions": {
38
  "qairt": "2.45.0.260326154327",
39
  "onnx_runtime": "1.25.0"
40
  },
41
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-onnx-w8a16.zip"
42
  }
43
  }
44
  },
@@ -48,14 +48,14 @@
48
  "tool_versions": {
49
  "qairt": "2.45.0.260326154327"
50
  },
51
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-qnn_dlc-float.zip"
52
  },
53
  "onnx": {
54
  "tool_versions": {
55
  "qairt": "2.45.0.260326154327",
56
  "onnx_runtime": "1.25.0"
57
  },
58
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.1/detectron2_detection-onnx-float.zip"
59
  }
60
  }
61
  }
 
1
  {
2
+ "version": "0.57.2",
3
  "precisions": {
4
  "w8a8": {
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/detectron2_detection/releases/v0.57.2/detectron2_detection-tflite-w8a8.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/detectron2_detection/releases/v0.57.2/detectron2_detection-qnn_dlc-w8a8.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/detectron2_detection/releases/v0.57.2/detectron2_detection-onnx-w8a8.zip"
25
  }
26
  }
27
  },
 
31
  "tool_versions": {
32
  "qairt": "2.45.0.260326154327"
33
  },
34
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-qnn_dlc-w8a16.zip"
35
  },
36
  "onnx": {
37
  "tool_versions": {
38
  "qairt": "2.45.0.260326154327",
39
  "onnx_runtime": "1.25.0"
40
  },
41
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-onnx-w8a16.zip"
42
  }
43
  }
44
  },
 
48
  "tool_versions": {
49
  "qairt": "2.45.0.260326154327"
50
  },
51
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-qnn_dlc-float.zip"
52
  },
53
  "onnx": {
54
  "tool_versions": {
55
  "qairt": "2.45.0.260326154327",
56
  "onnx_runtime": "1.25.0"
57
  },
58
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/detectron2_detection/releases/v0.57.2/detectron2_detection-onnx-float.zip"
59
  }
60
  }
61
  }