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README.md

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@@ -74,12 +74,13 @@ After you download the [Faster R-CNN model](https://1drv.ms/u/s!AmRLLNf6bzcir8xe
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The above pretrained Faster R-CNN model achives 38.52/26.35/28.14 mAp on VG train/val/test set respectively.
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## Alternate links
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Thanks for sponsorship from [Catchip](https://github.com/Catchip). Since OneDrive links might be broken in mainland China, we also provide the following alternate links for all the pretrained models and dataset annotations:
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Since OneDrive links might be broken in mainland China, we also provide the following alternate links for all the pretrained models and dataset annotations using BaiduNetDisk:
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Link:[https://pan.baidu.com/s/1oyPQBDHXMQ5Tsl0jy5OzgA](https://pan.baidu.com/s/1oyPQBDHXMQ5Tsl0jy5OzgA)
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Link1(Baidu):[https://pan.baidu.com/s/1oyPQBDHXMQ5Tsl0jy5OzgA](https://pan.baidu.com/s/1oyPQBDHXMQ5Tsl0jy5OzgA)
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Extraction code:1234
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Link2(Weiyun): [https://share.weiyun.com/ViTWrFxG](https://share.weiyun.com/ViTWrFxG)
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## Faster R-CNN pre-training
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The following command can be used to train your own Faster R-CNN model:
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```bash

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