train_alexnet.py

import tensorflow as tf
import os
import numpy as np
import cv2
import scipy.io as sio
import dlib
from imutils import face_utils

import datasets
import utils
import models

PROJECT_DIR = "E:/demo/python/head_pose/"

AFLW2000_DATA_DIR = 'E:/data/AFLW2000/'
AFLW2000_MODEL_FILE = PROJECT_DIR + 'model/aflw2000_model.h5'
AFLW2000_TEST_SAVE_DIR = 'E:/ml/data/aflw2000_test/'

BIWI_DATA_DIR = 'E:/ml/data/Biwi/kinect_head_pose_db/hpdb/'
BIWI_MODEL_FILE = PROJECT_DIR + 'model/biwi_model.h5'
BIWI_TEST_SAVE_DIR = 'E:/ml/data/biwi_test/'

BIN_NUM = 66
INPUT_SIZE = 64
BATCH_SIZE=16
EPOCHS=20

dataset = datasets.Biwi(BIWI_DATA_DIR, 'filename_list.txt', batch_size=BATCH_SIZE, input_size=INPUT_SIZE, ratio=0.95)

net = models.AlexNet(dataset, BIN_NUM, batch_size=BATCH_SIZE, input_size=INPUT_SIZE)

net.train(BIWI_MODEL_FILE, max_epoches=EPOCHS, load_weight=False)

net.test(BIWI_TEST_SAVE_DIR)