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helper.py
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# -*- coding: utf-8 -*-
"""
@author: ZHANG Min, Wuhan University
@email: [email protected]
"""
import os
import numpy as np
from PIL import Image
def get_custom_path(sensor):
base_dir = 'datasets'
t1 = os.path.join(base_dir, sensor, 't1.bmp')
t2 = os.path.join(base_dir, sensor, 't2.bmp')
gt = os.path.join(base_dir, sensor, 'gt.bmp')
t1 = Image.open(t1)
t1 = np.asarray(t1, dtype=np.float32)
t2 = Image.open(t2)
t2 = np.asarray(t2, dtype=np.float32)
gt = Image.open(gt)
gt = np.asarray(gt, dtype=np.float32)
gt[gt == 255] = 0
return [t1, t2, gt]
def get_fdcnn():
model_def = r"fdcnn\fdcnn_deploy.prototxt"
model_weights = r"pre_trained\FDCNN.caffemodel"
return [model_def, model_weights]
def get_inceptionv3():
model_def = r'inceptionv3\deploy_inception-v3.prototxt'
model_weights = r'pre_trained\inception-v3.caffemodel'
return [model_def, model_weights]
def get_siamese():
model_def = r'siamese_knn\siamese_deploy.prototxt'
model_weights = r'pre_trained\siamese.caffemodel'
return [model_def, model_weights]