v0.49.1
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.49.1 for changelog.
README.md
CHANGED
|
@@ -16,18 +16,18 @@ pipeline_tag: object-detection
|
|
| 16 |
YoloR is a machine learning model that predicts bounding boxes and classes of objects in an image.
|
| 17 |
|
| 18 |
This is based on the implementation of Yolo-R found [here](https://github.com/WongKinYiu/yolor.git).
|
| 19 |
-
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/
|
| 20 |
|
| 21 |
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.
|
| 22 |
|
| 23 |
## Getting Started
|
| 24 |
Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
|
| 25 |
-
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/
|
| 26 |
- Custom weights (e.g., fine-tuned checkpoints)
|
| 27 |
- Custom input shapes
|
| 28 |
- Target device and runtime configurations
|
| 29 |
|
| 30 |
-
See our repository for [Yolo-R on GitHub](https://github.com/qualcomm/ai-hub-models/
|
| 31 |
|
| 32 |
|
| 33 |
## Model Details
|
|
@@ -43,60 +43,60 @@ See our repository for [Yolo-R on GitHub](https://github.com/qualcomm/ai-hub-mod
|
|
| 43 |
## Performance Summary
|
| 44 |
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 45 |
|---|---|---|---|---|---|---
|
| 46 |
-
| Yolo-R | ONNX | float | Snapdragon®
|
| 47 |
-
| Yolo-R | ONNX | float | Snapdragon®
|
| 48 |
-
| Yolo-R | ONNX | float | Snapdragon®
|
| 49 |
-
| Yolo-R | ONNX | float |
|
| 50 |
-
| Yolo-R | ONNX | float | Qualcomm®
|
| 51 |
-
| Yolo-R | ONNX | float |
|
| 52 |
-
| Yolo-R | ONNX | float | Snapdragon® 8 Elite
|
| 53 |
-
| Yolo-R | ONNX | w8a16 | Snapdragon®
|
| 54 |
-
| Yolo-R | ONNX | w8a16 | Snapdragon®
|
| 55 |
-
| Yolo-R | ONNX | w8a16 | Snapdragon®
|
| 56 |
-
| Yolo-R | ONNX | w8a16 |
|
| 57 |
-
| Yolo-R | ONNX | w8a16 | Qualcomm®
|
| 58 |
-
| Yolo-R | ONNX | w8a16 | Qualcomm®
|
| 59 |
-
| Yolo-R | ONNX | w8a16 | Qualcomm®
|
| 60 |
-
| Yolo-R | ONNX | w8a16 |
|
| 61 |
-
| Yolo-R | ONNX | w8a16 | Snapdragon®
|
| 62 |
-
| Yolo-R | ONNX | w8a16 | Snapdragon®
|
| 63 |
-
| Yolo-R | QNN_DLC | float | Snapdragon®
|
| 64 |
-
| Yolo-R | QNN_DLC | float | Snapdragon®
|
| 65 |
-
| Yolo-R | QNN_DLC | float | Snapdragon®
|
| 66 |
-
| Yolo-R | QNN_DLC | float |
|
| 67 |
-
| Yolo-R | QNN_DLC | float | Qualcomm®
|
| 68 |
-
| Yolo-R | QNN_DLC | float | Qualcomm®
|
| 69 |
-
| Yolo-R | QNN_DLC | float | Qualcomm®
|
| 70 |
-
| Yolo-R | QNN_DLC | float | Qualcomm®
|
| 71 |
-
| Yolo-R | QNN_DLC | float | Qualcomm®
|
| 72 |
-
| Yolo-R | QNN_DLC | float | Qualcomm®
|
| 73 |
-
| Yolo-R | QNN_DLC | float |
|
| 74 |
-
| Yolo-R | QNN_DLC | float | Snapdragon® 8 Elite
|
| 75 |
-
| Yolo-R | QNN_DLC | w8a16 | Snapdragon®
|
| 76 |
-
| Yolo-R | QNN_DLC | w8a16 | Snapdragon®
|
| 77 |
-
| Yolo-R | QNN_DLC | w8a16 | Snapdragon®
|
| 78 |
-
| Yolo-R | QNN_DLC | w8a16 |
|
| 79 |
-
| Yolo-R | QNN_DLC | w8a16 | Qualcomm®
|
| 80 |
-
| Yolo-R | QNN_DLC | w8a16 | Qualcomm®
|
| 81 |
-
| Yolo-R | QNN_DLC | w8a16 | Qualcomm®
|
| 82 |
-
| Yolo-R | QNN_DLC | w8a16 | Qualcomm®
|
| 83 |
-
| Yolo-R | QNN_DLC | w8a16 | Qualcomm®
|
| 84 |
-
| Yolo-R | QNN_DLC | w8a16 | Qualcomm®
|
| 85 |
-
| Yolo-R | QNN_DLC | w8a16 | Qualcomm®
|
| 86 |
-
| Yolo-R | QNN_DLC | w8a16 | Qualcomm®
|
| 87 |
-
| Yolo-R | QNN_DLC | w8a16 |
|
| 88 |
-
| Yolo-R | QNN_DLC | w8a16 | Snapdragon®
|
| 89 |
-
| Yolo-R | QNN_DLC | w8a16 | Snapdragon®
|
| 90 |
-
| Yolo-R | TFLITE | float | Snapdragon® 8 Gen
|
| 91 |
-
| Yolo-R | TFLITE | float |
|
| 92 |
-
| Yolo-R | TFLITE | float | Qualcomm®
|
| 93 |
-
| Yolo-R | TFLITE | float | Qualcomm®
|
| 94 |
-
| Yolo-R | TFLITE | float | Qualcomm®
|
| 95 |
-
| Yolo-R | TFLITE | float | Qualcomm®
|
| 96 |
-
| Yolo-R | TFLITE | float | Qualcomm®
|
| 97 |
-
| Yolo-R | TFLITE | float | Qualcomm®
|
| 98 |
-
| Yolo-R | TFLITE | float |
|
| 99 |
-
| Yolo-R | TFLITE | float | Snapdragon® 8 Elite
|
| 100 |
|
| 101 |
## License
|
| 102 |
* The license for the original implementation of Yolo-R can be found
|
|
|
|
| 16 |
YoloR is a machine learning model that predicts bounding boxes and classes of objects in an image.
|
| 17 |
|
| 18 |
This is based on the implementation of Yolo-R found [here](https://github.com/WongKinYiu/yolor.git).
|
| 19 |
+
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/yolor) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
|
| 20 |
|
| 21 |
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.
|
| 22 |
|
| 23 |
## Getting Started
|
| 24 |
Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
|
| 25 |
+
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/yolor) Python library to compile and export the model with your own:
|
| 26 |
- Custom weights (e.g., fine-tuned checkpoints)
|
| 27 |
- Custom input shapes
|
| 28 |
- Target device and runtime configurations
|
| 29 |
|
| 30 |
+
See our repository for [Yolo-R on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/yolor) for usage instructions.
|
| 31 |
|
| 32 |
|
| 33 |
## Model Details
|
|
|
|
| 43 |
## Performance Summary
|
| 44 |
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 45 |
|---|---|---|---|---|---|---
|
| 46 |
+
| Yolo-R | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 26.596 ms | 6 - 318 MB | NPU
|
| 47 |
+
| Yolo-R | ONNX | float | Snapdragon® X2 Elite | 26.422 ms | 75 - 75 MB | NPU
|
| 48 |
+
| Yolo-R | ONNX | float | Snapdragon® X Elite | 58.203 ms | 74 - 74 MB | NPU
|
| 49 |
+
| Yolo-R | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 41.88 ms | 6 - 355 MB | NPU
|
| 50 |
+
| Yolo-R | ONNX | float | Qualcomm® QCS8550 (Proxy) | 56.589 ms | 0 - 78 MB | NPU
|
| 51 |
+
| Yolo-R | ONNX | float | Qualcomm® QCS9075 | 52.802 ms | 5 - 12 MB | NPU
|
| 52 |
+
| Yolo-R | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 37.084 ms | 2 - 224 MB | NPU
|
| 53 |
+
| Yolo-R | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 17.989 ms | 3 - 429 MB | NPU
|
| 54 |
+
| Yolo-R | ONNX | w8a16 | Snapdragon® X2 Elite | 18.352 ms | 41 - 41 MB | NPU
|
| 55 |
+
| Yolo-R | ONNX | w8a16 | Snapdragon® X Elite | 30.487 ms | 40 - 40 MB | NPU
|
| 56 |
+
| Yolo-R | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 20.937 ms | 0 - 493 MB | NPU
|
| 57 |
+
| Yolo-R | ONNX | w8a16 | Qualcomm® QCS6490 | 2273.766 ms | 128 - 134 MB | CPU
|
| 58 |
+
| Yolo-R | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 29.392 ms | 0 - 50 MB | NPU
|
| 59 |
+
| Yolo-R | ONNX | w8a16 | Qualcomm® QCS9075 | 29.42 ms | 1 - 6 MB | NPU
|
| 60 |
+
| Yolo-R | ONNX | w8a16 | Qualcomm® QCM6690 | 1174.879 ms | 46 - 59 MB | CPU
|
| 61 |
+
| Yolo-R | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 17.09 ms | 1 - 355 MB | NPU
|
| 62 |
+
| Yolo-R | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1117.064 ms | 123 - 136 MB | CPU
|
| 63 |
+
| Yolo-R | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 14.061 ms | 5 - 297 MB | NPU
|
| 64 |
+
| Yolo-R | QNN_DLC | float | Snapdragon® X2 Elite | 15.354 ms | 5 - 5 MB | NPU
|
| 65 |
+
| Yolo-R | QNN_DLC | float | Snapdragon® X Elite | 29.35 ms | 5 - 5 MB | NPU
|
| 66 |
+
| Yolo-R | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 22.723 ms | 5 - 324 MB | NPU
|
| 67 |
+
| Yolo-R | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 100.21 ms | 1 - 253 MB | NPU
|
| 68 |
+
| Yolo-R | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 29.639 ms | 5 - 7 MB | NPU
|
| 69 |
+
| Yolo-R | QNN_DLC | float | Qualcomm® SA8775P | 36.096 ms | 1 - 259 MB | NPU
|
| 70 |
+
| Yolo-R | QNN_DLC | float | Qualcomm® QCS9075 | 37.41 ms | 5 - 11 MB | NPU
|
| 71 |
+
| Yolo-R | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 49.716 ms | 4 - 376 MB | NPU
|
| 72 |
+
| Yolo-R | QNN_DLC | float | Qualcomm® SA7255P | 100.21 ms | 1 - 253 MB | NPU
|
| 73 |
+
| Yolo-R | QNN_DLC | float | Qualcomm® SA8295P | 44.036 ms | 0 - 306 MB | NPU
|
| 74 |
+
| Yolo-R | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 18.644 ms | 0 - 230 MB | NPU
|
| 75 |
+
| Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 7.303 ms | 2 - 303 MB | NPU
|
| 76 |
+
| Yolo-R | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 8.38 ms | 2 - 2 MB | NPU
|
| 77 |
+
| Yolo-R | QNN_DLC | w8a16 | Snapdragon® X Elite | 18.975 ms | 2 - 2 MB | NPU
|
| 78 |
+
| Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 12.442 ms | 2 - 367 MB | NPU
|
| 79 |
+
| Yolo-R | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 77.67 ms | 1 - 5 MB | NPU
|
| 80 |
+
| Yolo-R | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 37.386 ms | 1 - 289 MB | NPU
|
| 81 |
+
| Yolo-R | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 18.338 ms | 2 - 5 MB | NPU
|
| 82 |
+
| Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8775P | 18.348 ms | 0 - 289 MB | NPU
|
| 83 |
+
| Yolo-R | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 20.527 ms | 0 - 4 MB | NPU
|
| 84 |
+
| Yolo-R | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 237.504 ms | 2 - 400 MB | NPU
|
| 85 |
+
| Yolo-R | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 24.359 ms | 2 - 369 MB | NPU
|
| 86 |
+
| Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA7255P | 37.386 ms | 1 - 289 MB | NPU
|
| 87 |
+
| Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8295P | 23.585 ms | 2 - 293 MB | NPU
|
| 88 |
+
| Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 9.82 ms | 2 - 301 MB | NPU
|
| 89 |
+
| Yolo-R | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 26.793 ms | 2 - 312 MB | NPU
|
| 90 |
+
| Yolo-R | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 26.339 ms | 1 - 343 MB | NPU
|
| 91 |
+
| Yolo-R | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 38.872 ms | 34 - 478 MB | NPU
|
| 92 |
+
| Yolo-R | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 137.805 ms | 1 - 328 MB | NPU
|
| 93 |
+
| Yolo-R | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 59.03 ms | 0 - 3 MB | NPU
|
| 94 |
+
| Yolo-R | TFLITE | float | Qualcomm® SA8775P | 66.376 ms | 0 - 308 MB | NPU
|
| 95 |
+
| Yolo-R | TFLITE | float | Qualcomm® QCS9075 | 50.721 ms | 0 - 86 MB | NPU
|
| 96 |
+
| Yolo-R | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 89.294 ms | 0 - 467 MB | NPU
|
| 97 |
+
| Yolo-R | TFLITE | float | Qualcomm® SA7255P | 137.805 ms | 1 - 328 MB | NPU
|
| 98 |
+
| Yolo-R | TFLITE | float | Qualcomm® SA8295P | 76.681 ms | 1 - 355 MB | NPU
|
| 99 |
+
| Yolo-R | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 32.082 ms | 1 - 287 MB | NPU
|
| 100 |
|
| 101 |
## License
|
| 102 |
* The license for the original implementation of Yolo-R can be found
|