Can i get the input images before converting them to lmdb

[fudanvi]

Can i get the input images before converting them to lmdb

[kanika02]

or can you provide the code for converting lmdb to images in one folder

[Everythingismetaphor]

or can you provide the code for converting lmdb to images in one folder

import cv2
import lmdb
import numpy as np
import os
root_path = 'D:\Python_Project\TextSR\TextZoom-master\dataset\lmdb\str\TextZoom/'
sub_path = 'test/medium/'
save_path='./Images/' + sub_path # 图片存储路径
if not os.path.exists(save_path):
    os.mkdir(save_path)
env = lmdb.open(root_path+sub_path)
imgdir_list1 = []
imgdir_list2 = []
label_list = []
with env.begin(write=False) as txn:
    for key, value in txn.cursor():
        type = key.decode('utf-8').split('-')[0]
        if key.decode('utf-8') == 'num-samples':
            print(key ,value)
            break
        if type!='label':
            if type.split('_')[1] == 'hr':   # hr图像
                image_name = key.decode('utf-8')
                image_buf = np.frombuffer(value, dtype=np.uint8)
                # # 将数据转换(解码)成图像格式
                # # cv2.IMREAD_GRAYSCALE为灰度图，cv2.IMREAD_COLOR为彩色图
                img = cv2.imdecode(image_buf, cv2.IMREAD_COLOR)
                cv2.imwrite(save_path + image_name + '.png', img)
                imgdir_list1.append(save_path + image_name + '.png')
            else:  # lr图像
                image_name = key.decode('utf-8')
                image_buf = np.frombuffer(value, dtype=np.uint8)
                # # 将数据转换(解码)成图像格式
                # # cv2.IMREAD_GRAYSCALE为灰度图，cv2.IMREAD_COLOR为彩色图
                img = cv2.imdecode(image_buf, cv2.IMREAD_COLOR)
                cv2.imwrite(save_path + image_name + '.png', img)
                imgdir_list2.append(save_path + image_name + '.png')
        else:  # 标签
            label_list.append(value.decode('utf-8'))
            print(key ,value)
env.close()