hseq_eval accuracy

[davci]

Hi @lzx551402 @zjhthu Thanks for your great works!

I evaluate my own trained model on HPatches Sequences, get Recall of 65.39/72.91 for i/v sequences.
I fellow the Training ContextDesc instructions in readme.
I get the regional features through the following codes:
def load_imgs(img_paths):
rgb_list = []
img_name_list = []
for img_path in img_paths:
img = cv2.imread(img_path)
img = cv2.resize(img,(448,448),interpolation=cv2.INTER_CUBIC)
rgb_list.append(img)
img_name_list.append(img_path.split('/')[-1].split('.')[0])
return rgb_list, img_name_list

def extract_regional_features(rgb_list, img_name_list, model_path, save_path):
model = get_model('reg_model')(model_path)
for i, val in enumerate(rgb_list):
reg_feat = model.run_test_data(val)
reg_feat.astype(np.float32).tofile(save_path + img_name_list[i] +'.bin')

All other parts are the same as the readme ! TF version is 1.14.0! Any mistakes did I make?