Comments (3)
作者您好!首先谢谢您的工作!
我想问下既然在300W数据集中没有关于6种人脸属性的描述,为什么不在数据准备、训练过程中把这部分去掉呢?
可以去掉
from pfld_68points_pytorch.
from pfld_68points_pytorch.
好的谢谢您,我发现在300W数据集下使用和不使用辅助网络对网络精度影响不是很大。请问您有探究过这个原因吗? 还有个问题是关于大小对齐的,我复现之后不管是训练权重大小、参数量、浮点数计算量都没能够对齐12.6Mb(PFLD_1x),请问您知道是什么原因吗? 非常期待您的回复, 祝好。 在 2022-03-06 17:09:10,"yxqAIxp" @.> 写道: 作者您好!首先谢谢您的工作! 我想问下既然在300W数据集中没有关于6种人脸属性的描述,为什么不在数据准备、训练过程中把这部分去掉呢? 可以去掉 — 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: @.>
你的300W能复现出论文上的精度吗,我复现的ION差好多
from pfld_68points_pytorch.
Related Issues (20)
- 300w数据集的百度云密码是多少 HOT 2
- 有没有使用PFLD做头部姿态估计的代码,而不是使用dlib
- train_model.py中的一点疑问 HOT 2
- 请问你这边提供的预训练模型是使用的什么数据集训练的? HOT 1
- 读取数据出错
- 训练多少个epoch后loss能正常收敛 HOT 8
- 有关3D人脸坐标的问题 HOT 1
- 还想没有300W的困难数据的txt文件(ibug的130多张图的)
- test代码的算error分母好像不对 HOT 1
- 脸离摄像头较近关键点出现较大偏移 HOT 1
- Loss saturate after 80 Epoch HOT 1
- Does model also provides each landmark confidence score HOT 3
- 关于coco里的关键点 HOT 3
- 没有依赖包版本文件 HOT 2
- 欧拉角这部分怎么理解的呢 HOT 1
- 关于用自己制作的人脸数据集应该如何预处理的问题?
- 好像给dataloader设置num_worker就会出bug?
- 关于损失函数的问题 HOT 1
- 98 点 转 68 点的眼睛的关键点没对应上
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