文件名称：深度学习年龄和性别识别模型
文件大小：88.29MB
文件格式：ZIP
更新时间：2022-01-29 07:43:00
人工智能 caffe 训练集 模块
基于caffe的年龄和性别识别模型，里面包含训练集和验证集列表文件，是从这里下载的https://github.com/GilLevi/AgeGenderDeepLearning
【文件预览】：
AgeGenderDeepLearning-master
----models()
--------gender_net.caffemodel(43.53MB)
--------age_net.caffemodel(43.55MB)
--------mean.binaryproto(768KB)
----EmotiW_Demo.ipynb(3.23MB)
----Folds()
--------original_txt_files()
--------train_val_txt_files_per_fold()
----age_net_definitions()
--------solver_test_fold_is_4.prototxt(266B)
--------train_val_test_fold_is_1.prototxt(4KB)
--------train_val_test_fold_is_2.prototxt(4KB)
--------solver_test_fold_is_1.prototxt(266B)
--------deploy.prototxt(2KB)
--------train_val_test_fold_is_4.prototxt(4KB)
--------solver_test_fold_is_2.prototxt(266B)
--------solver_test_fold_is_3.prototxt(266B)
--------solver_test_fold_is_0.prototxt(266B)
--------train_val_test_fold_is_3.prototxt(4KB)
--------train_val_test_fold_is_0.prototxt(4KB)
----DataPreparationCode()
--------create_lmdb_test_fold_3.sh(2KB)
--------create_lmdb_test_fold_1.sh(2KB)
--------make_mean_imag_test_fold_is_2.sh(237B)
--------create_lmdb_test_fold_4.sh(2KB)
--------make_mean_imag_test_fold_is_3.sh(237B)
--------create_train_val_txt_files.py(6KB)
--------make_mean_imag_test_fold_is_0.sh(237B)
--------make_mean_imag_test_fold_is_4.sh(237B)
--------create_lmdb_test_fold_2.sh(2KB)
--------make_mean_imag_test_fold_is_1.sh(237B)
--------create_lmdb_test_fold_0.sh(2KB)
----gender_net_definitions()
--------solver_test_fold_is_4.prototxt(266B)
--------train_val_test_fold_is_1.prototxt(4KB)
--------train_val_test_fold_is_2.prototxt(4KB)
--------solver_test_fold_is_1.prototxt(266B)
--------deploy.prototxt(2KB)
--------train_val_test_fold_is_4.prototxt(4KB)
--------solver_test_fold_is_2.prototxt(266B)
--------solver_test_fold_is_3.prototxt(266B)
--------solver_test_fold_is_0.prototxt(266B)
--------train_val_test_fold_is_3.prototxt(4KB)
--------train_val_test_fold_is_0.prototxt(4KB)
----AgeGenderDemo.ipynb(1.37MB)
----README.md(2KB)