encoded_string = base64.b64encode(image_file.read()).decode('utf-8') print(encoded_string) 如何从Base64格式恢复图像? 要将Base64字符串转换回图像,您需要使用base64.b64decode()函数。读取Base64字符串后,将其解码为字节流,并使用Python的文件写入功能将字节流保存为图像文件。以下是实现的代码示例: impo...
#!/usr/bin/env python """ @Author :Rattenking @CSDN :https://blog.csdn.net/m0_38082783 """ import os import time import base64 # 将图片转换成base64 def img_to_base64(path): with open(path,"rb") as f: base64_data = base64.b64encode(f.read()) return f'data:image/jpg;base...
python image 编码base64 再解码 文心快码BaiduComate 要将Python中的图像编码为Base64格式,然后再解码回原始图像,我们可以使用Python的内置base64模块以及图像处理库如PIL(Python Imaging Library,也称为Pillow)。以下是一个详细的步骤说明,包括必要的代码片段: 1. 安装Pillow库(如果尚未安装) 首先,确保你已经安装了...
defencode_base64(file): withopen(file,'rb') as f: img_data=f.read() base64_data=base64.b64encode(img_data) print(type(base64_data)) #print(base64_data) # 如果想要在浏览器上访问base64格式图片,需要在前面加上:data:image/jpeg;base64, base64_str=str(base64_data,'utf-8') print(b...
fromPILimportImageimportbase64defget_image_base64(image_path):image=Image.open(image_path)image_data=image.tobytes()base64_data=base64.b64encode(image_data)returnbase64_data 1. 2. 3. 4. 5. 6. 7. 8. 总结 通过上述步骤,我们可以轻松地使用Python获取图片的base64编码。首先,我们需要安装Pillow...
以下是使用Python编码PNG图像的示例代码: 代码语言:txt 复制 import base64 # 读取PNG图像文件 with open('image.png', 'rb') as image_file: image_data = image_file.read() # 将图像数据进行base64编码 encoded_image = base64.b64encode(image_data) # 打印编码后的图像数据 print(encoded_image) ...
(img_show.encode("utf-8")) # 如果需要在浏览器展示,需要在uri前面添加:data:image/jpeg;base64, return uri except Exception as e: print(f"img_to_base64 error:{e}") if __name__ == "__main__": img_path = sys.argv[1] try: base64_path = sys.argv[2] base64_to_img(img_path...
首先,我们需要将图片转换为Base64编码。这可以通过Python的base64库来实现。下面是相关的代码示例: importbase64defimage_to_base64(image_path):withopen(image_path,"rb")asimage_file:image_data=image_file.read()base64_data=base64.b64encode(image_data)returnbase64_data.decode("utf-8") ...
import base64 import numpy as np import cv2.cv2 as cv2 ###解码 # image = base64.b64decode(img) # nparr = np.fromstring(image, np.uint8) # frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR) ###编码 # # frame = cv2.imread("img.png") # image = cv2.imencode('.jpg', frame)[1...
import base64 # image = open("1.png", "rb") # image_read = image.read() # print(image_read) #image_64_encode = base64.encodestring(image_read) with open('bacode.txt', "rb") as f: s = f.read() image_64_encode = s[22:] image_64_decode = base64.decodestring(image_64...