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博客园 - Sanny.Liu-CV&&ML

GRPO 是否“真的在学” clip的底层原理---深入源码:手把手剖析OpenAI CLIP的实现结构与细节 Decoder-Only、Encoder-Only 与 Encoder-Decoder linux 进程内存占用查看 算一个bbox和一个mask区域的重叠 用PyTorch从零搭建一个Transformer模型 基于树编辑距离的相似度(TEDS) OCR相关的笔记 opencv的RGB 颜色表 transformers中的generate函数解读 5 levels of text splitting PyMuPDF工具说明 OCR表格识别 uvicorn,一个无敌的 Python 库! stable diffusion中controlnet详细使用方法总结 lora训练参数设置 Dreambooth, Textual Inversion, LoRA, Hypernetworks ,示意图解释 转载:深度学习:蒸馏Distill MoveNet:超快且准确的姿态检测模型 根据5个人脸特征点,快速计算人脸角度
图片,二进制,base64互转
Sanny.Liu-CV&&ML · 2025-03-18 · via 博客园 - Sanny.Liu-CV&&ML

转载:https://blog.csdn.net/JulyLi2019/article/details/120987770

# -*- coding:utf-8 -*-
# @Time : 2021/10/25 9:22
# @Author : JulyLi
# @File : CV2image.py
# @Software: PyCharm

import cv2
import numpy as np
import base64

def bytes2cv(im):
    '''二进制图片转cv2

    :param im: 二进制图片数据,bytes
    :return: cv2图像,numpy.ndarray
    '''
    return cv2.imdecode(np.array(bytearray(im), dtype='uint8'), cv2.IMREAD_UNCHANGED)  # 从二进制图片数据中读取


def cv2bytes(im):
    '''cv2转二进制图片

    :param im: cv2图像,numpy.ndarray
    :return: 二进制图片数据,bytes
    '''
    return np.array(cv2.imencode('.png', im)[1]).tobytes()


def image_to_base64(image_np):
    """
    将np图片(imread后的图片)转码为base64格式
    image_np: cv2图像,numpy.ndarray
    Returns: base64编码后数据
    """
    image = cv2.imencode('.png', image_np)[1]
    image_code = str(base64.b64encode(image))[2:-1]
    return image_code


def base64_to_image(base64_code):
    """
    将base64编码解析成opencv可用图片
    base64_code: base64编码后数据
    Returns: cv2图像,numpy.ndarray
    """
    # base64解码
    img_data = base64.b64decode(base64_code)
    # 转换为np数组
    img_array = np.fromstring(img_data, np.uint8)
    # 转换成opencv可用格式
    img = cv2.imdecode(img_array, cv2.COLOR_RGB2BGR)

    return img


if __name__ == '__main__':

    filename = 'horse.jpg'
    img = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
    image_code = image_to_base64(img)
    print(image_code)

    img = base64_to_image(image_code)
    cv2.imshow('bytes2cv', img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()