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推理结果误差较大 #24

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MrNeoBlue opened this issue Mar 6, 2024 · 3 comments
Open

推理结果误差较大 #24

MrNeoBlue opened this issue Mar 6, 2024 · 3 comments

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@MrNeoBlue
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Hi,there
按照tracking/test_mixformer.sh脚本的指令在got10k和lasot上测试的跟踪结果都是无效。
加载的是mixformer2_base.pth.tar权重,网络选择的是mixformer2_vit_online,参数选择288_depth8_score的配置。在A100单卡上面进行推断,请问是使用方法不对吗?

@MrNeoBlue
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从A100服务器更换到4090上进行推断,不像之前那样的错误,但是用下载的mixformerv2_base.pth.tar的权重无法复现结果。
Reporting results over 280 / 280 sequences

lasot | AUC | OP50 | OP75 | Precision | Norm Precision |
MixFormerDeit | 39.71 | 41.87 | 30.86 | 34.34 | 40.20 |

@MrNeoBlue MrNeoBlue changed the title 推理结果都是[0 0 10 10] 推理结果误差较大 Mar 7, 2024
@songtianhui
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您好,我在1080ti上测试结果是正常的。您再尝试一下其他机器,我也尽量找4090或a100机器测试一下。
或者您可以再多附上一些环境信息和运行log?

@MrNeoBlue
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您好,我在1080ti上测试结果是正常的。您再尝试一下其他机器,我也尽量找4090或a100机器测试一下。 或者您可以再多附上一些环境信息和运行log?

我后来重新配置环境更新到torch 1.7.1 with cuda 11.0,结果就好一些.
lasot | AUC | OP50 | OP75 | Precision | Norm Precision |
MixFormerDeit | 69.95 | 81.65 | 68.83 | 75.11 | 79.69 |

比CPU 结果低近 1 个点。GPU 和 CPU 的结果会有所不同吗?

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