anthonyf333 / facelandmark_pfld_ultralight Goto Github PK
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License: Apache License 2.0
作者您好:
在test.py中如何测试300W,用IPN来计算NME?
(68点没有两眼瞳孔的坐标)
你好,百度云盘的链接失效了,能否补充一下原始数据集的处理脚本或者重新上传一份到 Google Drive 呢?
您好,请问您readme.md中的demo展示是使用哪种backbone得到的结果呢?还有在train过程中仅使用了wing_loss嘛?
您好,方便提供预训练模型吗,电脑一般想试试效果
原论文里有用真实姿态与推理姿态去辅助训练,请问大佬为什么要去除辅助网络?是因为效果不明显吗?
Thanks for sharing the code!
With the code as-is I'm getting an NME of 0.07269 with PFLD at width 1 at 200 epochs with 112x112x3 input vs. 0.05837 reported in the results table (https://github.com/AnthonyF333/FaceLandmark_PFLD_UltraLight#%E7%B2%BE%E5%BA%A6).
Would you have any idea why?
I attached the train. log.
train.log
训练了200epoches,NME是0.07467567288161081
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