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README.md
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@@ -33,7 +33,7 @@ More details on model performance across various devices, can be found
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| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite |
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## Installation
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python -m qai_hub_models.models.yolov7.export
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```
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```
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Profile Job summary of Yolo-v7
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Device: QCS8550 (Proxy) (12)
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Estimated Inference Time: 20.86 ms
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Estimated Peak Memory Range: 9.10-11.82 MB
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Compute Units: NPU (292),CPU (21) | Total (313)
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```
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## How does this work?
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This [export script](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/Yolo-v7/export.py)
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| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 15.991 ms | 1 - 3 MB | FP16 | NPU | [Yolo-v7.tflite](https://huggingface.co/qualcomm/Yolo-v7/blob/main/Yolo-v7.tflite)
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## Installation
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python -m qai_hub_models.models.yolov7.export
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```
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## How does this work?
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This [export script](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/Yolo-v7/export.py)
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