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1.每日总结12024-03-112.每日总结22024-03-113.每日总结32024-03-114.每日总结42024-03-115.每日总结52024-03-196.每日总结62024-03-197.每日总结72024-03-198.每日总结82024-03-199.每日总结92024-03-1910.每日总结102024-03-1911.每日总结112024-03-2812.每日总结122024-03-2813.每日总结132024-03-2814.每日总结142024-03-2815.每日总结152024-03-2816.每日总结162024-03-2817.每日总结172024-03-2818.每日总结182024-04-0219.每日总结192024-04-0220.每日总结202024-04-0221.每日总结212024-04-1622.每日总结222024-04-1623.每日总结232024-04-1624.每日总结242024-04-1625.每日总结252024-04-1626.每日总结262024-04-1627.每日总结272024-04-1628.每日总结282024-04-1629.每日总结292024-04-1630.每日总结302024-04-1631.每日总结322024-04-2332.每日总结312024-04-2333.每日总结332024-04-2334.每日总结342024-04-2335.每日总结352024-04-2336.每日总结412024-05-2237.每日总结422024-05-2238.每日总结442024-05-2239.每日总结462024-05-2240.每日总结472024-05-2241.构建之法读后感022024-05-2242.构建之法读后感032024-05-2243.梦断代码读后感012024-05-0944.梦断代码读后感022024-05-1045.梦断代码读后感032024-05-1746.构建之法读后感012024-05-1747.每日总结392024-05-1748.每日总结402024-05-1749.每日总结452024-05-2250.每日总结482024-05-2351.每日总结492024-05-2452.每日总结502024-05-2753.每日总结512024-05-2854.每日总结522024-05-2955.每日总结532024-05-3156.每日总结542024-06-0357.每日总结552024-06-0458.每日总结562024-06-05

59.每日总结572024-06-06

60.每日总结582024-06-0761.每日总结602024-06-1162.每日总结612024-06-1263.每日总结64（事后诸葛亮会议）2024-06-1364.每日总结63（关于课程个人总结）2024-06-1265.第一阶段冲刺个人分工2024-04-2766.每日总结622024-06-12

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python实现照片修图程序的设计

import streamlit as st
import base64
import requests
from PIL import Image
import io

# 百度智慧云API的API Key和Secret Key
API_KEY = 'DnE8FI0luW1SigJ53wqyVd8I'
SECRET_KEY = 'fDUfEDmeJk5MVhCfcRmOW0pmVfw1f35e'

# 获取Access Token
def get_access_token():
    url = "https://aip.baidubce.com/oauth/2.0/token?client_id=DnE8FI0luW1SigJ53wqyVd8I&client_secret=fDUfEDmeJk5MVhCfcRmOW0pmVfw1f35e&grant_type=client_credentials"
    params = {
        "grant_type": "client_credentials",
        "client_id": API_KEY,
        "client_secret": SECRET_KEY
    }
    response = requests.get(url, params=params)
    if response.ok:
        return response.json().get('access_token')
    return None


# 编码图像为Base64
def encode_image_to_base64(image):
    buffered = io.BytesIO()
    image.save(buffered, format="JPEG")
    encoded_image = base64.b64encode(buffered.getvalue())
    return encoded_image.decode('utf-8')

# 解码Base64字符串为图像对象
def decode_base64_to_image(encoded_string):
    # 将 base64 编码的字符串转换为字节串
    decoded_bytes = base64.b64decode(encoded_string)

    # 将字节串转换为图像对象
    image = Image.open(io.BytesIO(decoded_bytes))

    return image


# 发送请求到百度智慧云API
def send_request(url, params, access_token):
    headers = {
        'Content-Type': 'application/json'
    }
    url = f"{url}?access_token={access_token}"
    response = requests.post(url, headers=headers, json=params)
    if response:
        return response.json()
    return None

# 动态获取图片大小
def get_dynamic_rectangle(image):
    # 获取图像大小
    width, height = image.size

    # 计算矩形区域的左上角和右下角坐标
    top_left_x = 0
    top_left_y = 0
    bottom_right_x = width
    bottom_right_y = height

    # 返回矩形区域坐标
    return f"{top_left_x},{top_left_y},{bottom_right_x},{bottom_right_y}"


# 图像修复
def image_repair(image, access_token):
    image_base64 = encode_image_to_base64(image)
    url = "https://aip.baidubce.com/rest/2.0/image-process/v1/inpainting"
    params = {
        "image": image_base64,
        "rectangle": get_dynamic_rectangle(image)  # 动态获取矩形区域
    }
    st.info("调用图像修复API...")
    return send_request(url, params, access_token)

# 人物动漫化
def cartoonize(image, access_token):
    image_base64 = encode_image_to_base64(image)
    url = "https://aip.baidubce.com/rest/2.0/image-process/v1/selfie_anime"
    params = {
        "image": image_base64
    }
    st.info("调用人物动漫化API...")
    return send_request(url, params, access_token)

# 图像清晰度增强
def enhance_image(image, access_token):
    image_base64 = encode_image_to_base64(image)
    url = "https://aip.baidubce.com/rest/2.0/image-process/v1/image_definition_enhance"
    params = {
        "image": image_base64
    }
    st.info("调用图像清晰度增强API...")
    return send_request(url, params, access_token)

# 图像风格转换
def style_transfer(image, access_token, style='cartoon'):
    image_base64 = encode_image_to_base64(image)
    url = "https://aip.baidubce.com/rest/2.0/image-process/v1/style_trans"
    params = {
        "image": image_base64,
        "option": style
    }
    st.info("调用图像风格转换API...")
    return send_request(url, params, access_token)

# 拉伸图像恢复
def stretch_restore(image, access_token):
    image_base64 = encode_image_to_base64(image)
    url = "https://aip.baidubce.com/rest/2.0/image-process/v1/stretch_restore"
    params = {
        "image": image_base64
    }
    st.info("调用拉伸图像恢复API...")
    return send_request(url, params, access_token)

# 主函数
def main():
    st.title("照片修复程序设计")
    st.write("请选择一个图像文件，并选择一个功能进行处理")

    # 获取 Access Token
    access_token = get_access_token()
    if not access_token:
        st.error("获取 Access Token 失败")
        return

    # 文件上传
    uploaded_file = st.file_uploader("选择一个图像文件", type=["jpg", "jpeg", "png"])
    if uploaded_file is not None:
        image = Image.open(uploaded_file)
        st.image(image, caption='上传的图像', use_column_width=True)

        st.write("请选择要执行的功能：")
        option = st.selectbox(
            '',
            ('图像修复', '人物动漫化', '图像清晰度增强', '图像风格转换', '拉伸图像恢复')
        )
        
        if st.button('执行'):
            result = None
            if option == '图像修复':
                result = image_repair(image, access_token)
            elif option == '人物动漫化':
                result = cartoonize(image, access_token)
            elif option == '图像清晰度增强':
                result = enhance_image(image, access_token)
            elif option == '图像风格转换':
                style = st.text_input("请输入风格类型（例如：cartoon）：", value='cartoon')
                result = style_transfer(image, access_token, style)
            elif option == '拉伸图像恢复':
                result = stretch_restore(image, access_token)

            if result:
                st.write(f"{option} 结果:", result)
                if 'image' in result:
                    img_data = result['image']
                    img = decode_base64_to_image(img_data)
                    st.image(img, caption=f'{option} 结果', use_column_width=True)
            else:
                st.error(f"{option} 处理失败")

# 示例: 运行主函数
if __name__ == "__main__":
    main()