JDAI-CV / fast-reid

SOTA Re-identification Methods and Toolbox
Apache License 2.0
3.42k stars 837 forks source link

蒸馏过后的R34模型推理速度慢于R50Ibn,R34Ibn大幅度慢于R50Ibn #621

Closed vcitory closed 2 years ago

vcitory commented 2 years ago

请问为什么使用R34蒸馏出来的网络部署在侧端,R34 inference:15ms,R34Ibn inference:18ms,R101Ibn(预训练):20ms,R50Ibn:10ms,请问模型骨干网络做了哪些更改导致了如此大的差距?

L1aoXingyu commented 2 years ago

r34 按道理会比 r50 更快,你是在哪个设备上测试的呀?

vcitory commented 2 years ago

谢谢回复,是由于推理框架会对图做融合,导致的,我关闭融合后速度无误

---原始邮件--- 发件人: "Xingyu @.> 发送时间: 2022年1月6日(周四) 晚上10:15 收件人: @.>; 抄送: @.**@.>; 主题: Re: [JDAI-CV/fast-reid] 蒸馏过后的R34模型推理速度慢于R50Ibn,R34Ibn大幅度慢于R50Ibn (Issue #621)

r34 按道理会比 r50 更快,你是在哪个设备上测试的呀?

— Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android. You are receiving this because you authored the thread.Message ID: @.***>

github-actions[bot] commented 2 years ago

This issue is stale because it has been open for 30 days with no activity.

github-actions[bot] commented 2 years ago

This issue was closed because it has been inactive for 14 days since being marked as stale.