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Parent(s):
71c1fa1
fix(README): invalid link of nano model (#1475)
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README.md
CHANGED
@@ -52,7 +52,7 @@ This repo is an implementation of PyTorch version YOLOX, there is also a [MegEng
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|Model |size |mAP<sup>val<br>0.5:0.95 | Params<br>(M) |FLOPs<br>(G)| weights |
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| ------ |:---: | :---: |:---: |:---: | :---: |
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|[YOLOX-Nano](./exps/default/
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|[YOLOX-Tiny](./exps/default/yolox_tiny.py) |416 |32.8 | 5.06 |6.45 | [github](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_tiny.pth) |
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@@ -61,7 +61,7 @@ This repo is an implementation of PyTorch version YOLOX, there is also a [MegEng
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|Model |size |mAP<sup>val<br>0.5:0.95 | Params<br>(M) |FLOPs<br>(G)| weights |
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| ------ |:---: | :---: |:---: |:---: | :---: |
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|[YOLOX-Nano](./exps/default/
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|[YOLOX-Tiny](./exps/default/yolox_tiny.py) |416 |32.8 | 5.06 |6.45 | [github](https://github.com/Megvii-BaseDetection/storage/releases/download/0.0.1/yolox_tiny_32dot8.pth) |
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</details>
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@@ -246,4 +246,4 @@ It is hoped that every AI practitioner in the world will stick to the concept of
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<div align="center"><img src="assets/sunjian.png" width="200"></div>
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没有孙剑博士的指导,YOLOX也不会问世并开源给社区使用。
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孙剑博士的离去是CV领域的一大损失,我们在此特别添加了这个部分来表达对我们的“船长”孙老师的纪念和哀思。
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希望世界上的每个AI从业者秉持着“持续创新拓展认知边界,非凡科技成就产品价值”的观念,一路向前。
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|Model |size |mAP<sup>val<br>0.5:0.95 | Params<br>(M) |FLOPs<br>(G)| weights |
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| ------ |:---: | :---: |:---: |:---: | :---: |
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|[YOLOX-Nano](./exps/default/yolox_nano.py) |416 |25.8 | 0.91 |1.08 | [github](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_nano.pth) |
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|[YOLOX-Tiny](./exps/default/yolox_tiny.py) |416 |32.8 | 5.06 |6.45 | [github](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_tiny.pth) |
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|Model |size |mAP<sup>val<br>0.5:0.95 | Params<br>(M) |FLOPs<br>(G)| weights |
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| ------ |:---: | :---: |:---: |:---: | :---: |
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|[YOLOX-Nano](./exps/default/yolox_nano.py) |416 |25.3 | 0.91 |1.08 | [github](https://github.com/Megvii-BaseDetection/storage/releases/download/0.0.1/yolox_nano.pth) |
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|[YOLOX-Tiny](./exps/default/yolox_tiny.py) |416 |32.8 | 5.06 |6.45 | [github](https://github.com/Megvii-BaseDetection/storage/releases/download/0.0.1/yolox_tiny_32dot8.pth) |
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</details>
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<div align="center"><img src="assets/sunjian.png" width="200"></div>
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没有孙剑博士的指导,YOLOX也不会问世并开源给社区使用。
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孙剑博士的离去是CV领域的一大损失,我们在此特别添加了这个部分来表达对我们的“船长”孙老师的纪念和哀思。
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希望世界上的每个AI从业者秉持着“持续创新拓展认知边界,非凡科技成就产品价值”的观念,一路向前。
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