wrod生成pdf。[特殊字符]改背景

import subprocess
import os,time
from rembg import remove, new_session
from PIL import Image
import io
from docxtpl import DocxTemplate, InlineImage
from docx.shared import Inches

input_folder = ‘tupian’ # 输入文件夹
kouchu_folder = ‘kouchu’ # 去背景图像保存文件夹
output_folder = ‘dangan’ # 合成后的输出文件夹
background_folder = ‘beijing’ # 背景文件夹
model_path = “mode/u2net.onnx” # 模型路径
wendang_path = “wendang” # 模型路径
pdf_path = “pdf” # 模型路径
doc = DocxTemplate(“moban.docx”)
context = {
‘company_name’: “World company”,
}

如果输出文件夹不存在，则创建它

if not os.path.exists(output_folder):
os.makedirs(output_folder)

获取背景文件夹中的所有背景图片

background_images = [f for f in os.listdir(background_folder) if f.lower().endswith((‘.png’, ‘.jpg’, ‘.jpeg’))]

Function to convert docx to PDF

def convert_to_pdf(docx_path, pdf_output_path):
subprocess.run([“/Applications/LibreOffice.app/Contents/MacOS/soffice”, “–headless”, “–convert-to”, “pdf”, docx_path, “–outdir”, pdf_output_path])

遍历输入文件夹中的所有图片文件

for filename in os.listdir(input_folder):
input_path = os.path.join(input_folder, filename)

# 确保文件是图片文件（你可以根据需要调整此条件）
if filename.lower().endswith(('.png', '.jpg', '.jpeg')):
    output_path = os.path.join(kouchu_folder, filename)
    # 读取输入图片并去背景
    with open(input_path, 'rb') as input_file:
        input_data = input_file.read()
        session = new_session(model_name='u2net_custom', model_path=model_path)
        output_data = remove(input_data, session=session)

    # 将去除背景后的数据转为图片
    input_image = Image.open(io.BytesIO(output_data))
    with open(output_path, 'wb') as output_file:
        output_file.write(output_data)

    # 遍历背景文件夹中的所有背景图像
    for bg_filename in background_images:
        background_path = os.path.join(background_folder, bg_filename)
        background_image = Image.open(background_path)
        

        # 调整背景大小，使其与输入图像大小匹配
        background_image = background_image.resize(input_image.size)

        # 合成图像：将去背景后的图片合成到背景上
        background_image = background_image.convert("RGBA")
        input_image = input_image.convert("RGBA")

        # 合成图像（将前景图像叠加到背景上）
        combined_image = Image.alpha_composite(background_image, input_image)

        # 将合成后的图像转换为RGB模式并保存
        combined_image = combined_image.convert("RGB")

        # 创建输出路径，根据背景文件名生成不同的输出文件名
        output_filename = f"{os.path.splitext(filename)[0]}_{os.path.splitext(bg_filename)[0]}.jpg"
        output_path = os.path.join(output_folder, output_filename)

        # 保存合成后的图片
        combined_image.save(output_path)
        print(f"处理并保存了 {filename} 与 {bg_filename} 合成的图片 到 {output_path}")
        context['company_logo'] = InlineImage(doc, output_path, width=Inches(2))  # 插入图片并设置宽度
        print(context)
        # 渲染模板
        doc.render(context)
        # 保存生成的文档
        doc_output_path = os.path.join(wendang_path, f"generated_doc_{os.path.splitext(filename)[0]}_{os.path.splitext(bg_filename)[0]}.docx")
        doc.save(doc_output_path)
        # 延迟2秒
        time.sleep(2)
        pdf_output_path = os.path.join(pdf_path,f"generated_doc_{os.path.splitext(filename)[0]}_{os.path.splitext(bg_filename)[0]}.pdf")
        convert_to_pdf(doc_output_path, pdf_output_path)