Face-Attributes-MultiTask-Classification

Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data sets

1. Put convert_multilabel.cpp into caffe_root/tools/
2. Remake caffe by running make clean && make all -j8 && make py
3. Find list_attr_celeba.txt in CelebA_root/Anno/
4. Run sed -i 's/ / /g' list_attr_celeba.txt to replace double sapce to single space.
5. Use processlist.py to pick up which attributes you want.
6. Then, run sed -i 's/-1/0/g' train.txt
7. Next, use create_lmdb.sh to create lmdb datasets.
8. Finally, change mcnn_Attri.prototxt suited for your situation.
9. show.py is used for training output visulisation.

中文博客地址

https://blog.csdn.net/renhanchi/article/details/81903684

References

https://github.com/HolidayXue/CodeSnap

https://zhuanlan.zhihu.com/p/22190532