B超单生成器在线制作， 怀孕b超单图片在线制作，JS+CSS+html演示

下载地址：https://www.pan38.com/share.php?code=VRjxk 提取码：8888

开发一个B超单装逼娱乐生成器，这个工具可以生成看起来非常专业的假B超单图片，用于娱乐目的。请注意，这个工具仅供娱乐，切勿用于任何非法或不道德用途。

项目概述
这个生成器将使用Python和一些图像处理库来创建逼真的B超单图片。主要功能包括：

生成随机但合理的B超数据
创建逼真的B超图像效果
添加医院信息和医生签名
输出最终的B超单图片
完整的项目代码，包含多个模块

import random
import datetime
from PIL import Image, ImageDraw, ImageFont
import numpy as np
import os
import textwrap
from faker import Faker

class BGenerator:
def init(self):
self.fake = Faker('zh_CN')
self.font_path = "simsun.ttc"
if not os.path.exists(self.font_path):
self.font_path = None

    # 初始化模板图片
    self.template = Image.new('RGB', (800, 1000), color='white')
    self.draw = ImageDraw.Draw(self.template)

    # 医院信息
    self.hospitals = [
        "北京协和医院", 
        "上海瑞金医院", 
        "广州中山医院",
        "成都华西医院",
        "武汉同济医院"
    ]

    # 医生姓名
    self.doctors = [
        "张伟", "王芳", "李娜", "刘强", "陈静",
        "杨光", "赵敏", "周涛", "吴晓", "郑华"
    ]

    # 检查项目
    self.exam_items = [
        "胎儿超声检查", "腹部超声检查", "心脏超声检查",
        "甲状腺超声检查", "乳腺超声检查", "妇科超声检查"
    ]

    # 诊断结果
    self.diagnoses = [
        "宫内早孕，活胎", "胎儿发育正常", "未见明显异常",
        "建议复查", "轻度脂肪肝", "胆囊息肉"
    ]

def generate_patient_info(self):
    """生成患者信息"""
    gender = random.choice(["男", "女"])
    age = random.randint(18, 60)
    patient_id = self.fake.ssn()
    exam_date = datetime.datetime.now().strftime("%Y-%m-%d %H:%M")

    return {
        "name": self.fake.name(),
        "gender": gender,
        "age": age,
        "patient_id": patient_id,
        "exam_date": exam_date
    }

def generate_ultrasound_data(self):
    """生成B超数据"""
    gestational_weeks = random.randint(5, 40)
    fetal_heart_rate = random.randint(120, 160)
    biparietal_diameter = round(random.uniform(2.0, 9.5), 2)
    femur_length = round(random.uniform(1.5, 7.5), 2)
    amniotic_fluid_index = round(random.uniform(5.0, 20.0), 1)

    return {
        "gestational_weeks": gestational_weeks,
        "fetal_heart_rate": fetal_heart_rate,
        "biparietal_diameter": biparietal_diameter,
        "femur_length": femur_length,
        "amniotic_fluid_index": amniotic_fluid_index
    }

def generate_ultrasound_image(self):
    """生成B超图像效果"""
    # 创建一个灰色背景
    width, height = 400, 300
    image = np.zeros((height, width), dtype=np.uint8)
    image.fill(128)

    # 添加一些随机噪声
    noise = np.random.normal(0, 25, (height, width))
    image = np.clip(image + noise, 0, 255).astype(np.uint8)

    # 添加一些"器官"形状
    for _ in range(random.randint(3, 7)):
        center_x = random.randint(50, width-50)
        center_y = random.randint(50, height-50)
        radius = random.randint(20, 80)

        for y in range(height):
            for x in range(width):
                dist = np.sqrt((x-center_x)**2 + (y-center_y)**2)
                if dist < radius:
                    val = int(255 * (1 - dist/radius))
                    image[y, x] = np.clip(image[y, x] + val, 0, 255)

    # 转换为PIL图像
    return Image.fromarray(image)

def draw_text(self, text, position, font_size=12, bold=False):
    """在图片上绘制文本"""
    if self.font_path:
        font = ImageFont.truetype(self.font_path, font_size)
    else:
        font = ImageFont.load_default()

    if bold:
        # 简单模拟加粗效果
        self.draw.text((position[0]-1, position[1]), text, font=font, fill="black")
        self.draw.text((position[0]+1, position[1]), text, font=font, fill="black")
        self.draw.text((position[0], position[1]-1), text, font=font, fill="black")
        self.draw.text((position[0], position[1]+1), text, font=font, fill="black")

    self.draw.text(position, text, font=font, fill="black")

def generate_report(self):
    """生成完整的B超报告"""
    # 生成随机数据
    patient = self.generate_patient_info()
    ultrasound_data = self.generate_ultrasound_data()
    hospital = random.choice(self.hospitals)
    doctor = random.choice(self.doctors)
    exam_item = random.choice(self.exam_items)
    diagnosis = random.choice(self.diagnoses)

    # 绘制医院标题
    self.draw_text(hospital, (50, 30), font_size=24, bold=True)
    self.draw_text("超声检查报告单", (300, 35), font_size=20, bold=True)

    # 绘制患者信息
    self.draw_text(f"姓名: {patient['name']}", (50, 80))
    self.draw_text(f"性别: {patient['gender']}", (250, 80))
    self.draw_text(f"年龄: {patient['age']}", (400, 80))
    self.draw_text(f"检查日期: {patient['exam_date']}", (50, 110))
    self.draw_text(f"病历号: {patient['patient_id']}", (400, 110))
    self.draw_text(f"检查项目: {exam_item}", (50, 140))

    # 绘制分隔线
    self.draw.line([(50, 170), (750, 170)], fill="black", width=2)

    # 绘制超声数据
    y_pos = 190
    self.draw_text("超声所见:", (50, y_pos), bold=True)
    y_pos += 30

    if "胎儿" in exam_item:
        # 如果是胎儿检查，显示胎儿数据
        text = f"宫内见一胎儿，头位，胎心搏动规律，胎心率{ultrasound_data['fetal_heart_rate']}次/分。"
        text += f"双顶径{ultrasound_data['biparietal_diameter']}cm，股骨长{ultrasound_data['femur_length']}cm，"
        text += f"羊水指数{ultrasound_data['amniotic_fluid_index']}cm。"
        text += "胎盘位于子宫前壁，成熟度0级。脐动脉血流频谱正常。"

        # 自动换行
        lines = textwrap.wrap(text, width=60)
        for line in lines:
            self.draw_text(line, (70, y_pos))
            y_pos += 25
    else:
        # 其他检查的通用描述
        text = "检查部位图像清晰，结构正常，未见明显异常回声。"
        text += "血流信号正常，未见明显占位性病变。"

        lines = textwrap.wrap(text, width=60)
        for line in lines:
            self.draw_text(line, (70, y_pos))
            y_pos += 25

    y_pos += 10

    # 绘制超声图像
    ultrasound_img = self.generate_ultrasound_image()
    self.template.paste(ultrasound_img, (200, y_pos))
    y_pos += ultrasound_img.height + 20

    # 绘制诊断意见
    self.draw_text("超声提示:", (50, y_pos), bold=True)
    y_pos += 30
    self.draw_text(diagnosis, (70, y_pos))
    y_pos += 50

    # 绘制医生签名
    self.draw_text(f"检查医生: {doctor}", (500, y_pos))
    self.draw_text("报告日期: " + datetime.datetime.now().strftime("%Y-%m-%d"), (500, y_pos + 30))

    # 绘制医院印章（模拟）
    self.draw.ellipse([(600, y_pos-20), (700, y_pos+80)], outline="red", width=3)
    self.draw_text(hospital.split("医院")[0], (620, y_pos+10), font_size=12, fill="red")
    self.draw_text("超声科", (640, y_pos+35), font_size=12, fill="red")

    return self.template

def save_report(self, filename="ultrasound_report.png"):
    """保存生成的报告"""
    report = self.generate_report()
    report.save(filename)
    print(f"报告已生成并保存为 {filename}")

if name == "main":
generator = BGenerator()
generator.save_report()
代码语言：txt
AI代码解释
Pillow==9.0.0
numpy==1.22.0
faker==13.3.0
这个B超单生成器包含以下主要功能：

‌患者信息生成‌：使用Faker库生成随机的患者姓名、性别、年龄和病历号。
‌B超数据生成‌：生成合理的B超检查数据，包括孕周、胎心率、双顶径等参数。
‌B超图像生成‌：使用NumPy创建模拟的B超图像效果，包含随机噪声和器官形状。
‌报告排版‌：将生成的所有信息排版到一张图片上，包括医院信息、患者信息、检查结果和医生签名。
‌输出功能‌：最终将生成的B超单保存为PNG图片文件。