Comments (7)
AlfredXiangWu
commented on May 13, 2024
http://mmlab.ie.cuhk.edu.hk/archive/CNN_FacePoint.htm
用这个方法跑出来的landmark
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Skywalkerfh
commented on May 13, 2024
检测人脸上的五点的时候出现了，Warning：roi exceed the original image, 这是不是代表五点的坐标超出了原始图像尺寸？请教一下博主您当时有没有出现这种情况，如果有的话，您是怎么处理这些数据的。谢谢！
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AlfredXiangWu
commented on May 13, 2024
直接跑就好了，我是跑完了以后人工检验的
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Skywalkerfh
commented on May 13, 2024
谢谢博主，alignment已经做好了，我现在用这些数据在训练vgg-16的网络，已经训练了3天了，但是分类错误率（错误率一直在百分之九十多）和损失函数一直不见下降，learning rate和batchsize我都调整过，也做了random crop依然没什么效果，博主您对这种情况有没有什么建议啊，另外您的这个模型跑了多久最终训练好得？特别感谢！
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AlfredXiangWu
commented on May 13, 2024
额，注意仔细看vgg-16那篇论文，要先训练浅层网络，然后用浅层网络的结果初始化深层网络才比较容易收敛。我没试过那么深的网络，我觉得直接train可能比较难收敛，另外关于深层网络收敛难的问题可以关注MSRA最近关于Deep Residual Learning的一系列工作
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Skywalkerfh
commented on May 13, 2024
好的，非常感谢。
2016-03-21
blackbest
发件人：Alfred Xiang Wu [email protected]
发送时间：2016-03-21 10:45
主题：Re: [face_verification_experiment] 人脸上五个点的坐标是怎么得到的？ (#35)
收件人："AlfredXiangWu/face_verification_experiment"[email protected]
抄送："Skywalkerfh"[email protected]
额，注意仔细看vgg-16那篇论文，要先训练浅层网络，然后用浅层网络的结果初始化深层网络才比较容易收敛。我没试过那么深的网络，我觉得直接train可能比较难收敛，另外关于深层网络收敛难的问题可以关注MSRA最近关于Deep Residual Learning的一系列工作
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Tonyfy
commented on May 13, 2024
那么工具标不出或者标错的图片，就不用于训练吗？人工量好大呀：）
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Related Issues (20)
- There may be some errors in the 'labels' HOT 3
- Where do you get the 5 facial points for MSCELEB dataset. Do you use some other model to find the facial points ? HOT 1
- Xavier vs Gaussian HOT 1
- I feel the size of the trainning data doubt HOT 1
- no an issue but a doubt HOT 2
- about lfw labels in model C-LightenedCNN_C_lfw.mat HOT 3
- Error occurred when computing accuracy
- Query
- no such file in your clean list
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- can't get the same result HOT 3
- How to use fine tuned model to do classification for an image in light CNN?
- Any architecture patent information HOT 1
- the issue about architecture
- LightenedCNN_A_deploy.prototxt
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