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Update README.md
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LSH9832 authored Dec 6, 2023
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| Model | Size | FPS<sup>RK3588, 3 cores<br/>int8 batch=1 <br/>include all process | Download |
|:------|:---------:|:-----------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
|**Tiny-LRELU**| 384×640 | 55 | [**model**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_lrelu_coco.rknn), [**config**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_lrelu_coco.yaml) |
|**Tiny** | 384×640 | 22 </br>(too many SiLU activate layers) | [**model**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_coco.rknn), [**config**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_coco.yaml) |
|**Tiny-LRELU**| 384×640 | 55 | [**coco model**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_lrelu_coco.rknn), [**coco config**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_lrelu_coco.yaml) </br> [**visdrone model**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_lrelu_visdrone.rknn), [**visdrone config**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_lrelu_visdrone.yaml) |
|**Tiny** | 384×640 | 22 </br>(too many SiLU activate layers) | [**coco model**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_coco.rknn), [**coco config**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_coco.yaml) </br> [**visdrone model**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_visdrone.rknn), [**visdrone config**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.2/edgeyolo_tiny_visdrone.yaml) |

## 1. Model convert
### 1.1 Setup RKNN Toolkit2 on your PC(x86_64) with edgeyolo requirements
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