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()
浙公网安备 33010602011771号