标签: code

  • 【Python】西游记取景地复刻图片合成

    输入两个图片,进行合成,自动在1图标记1986,2图标记2024,图片对齐,保持没有空白,程序自动复位。

    import tkinter as tk
    from tkinter import filedialog, messagebox
    from PIL import Image, ImageTk, ImageDraw, ImageFont
    
    class ImageCombinerApp:
        def __init__(self, root):
            self.root = root
            self.root.title("图片合成器")
            
            # 初始化存储的图片路径
            self.first_image_path = None
            self.second_image_path = None
            
            # 创建界面组件
            self.create_widgets()
        
        def create_widgets(self):
            # 第一张图片上传按钮
            self.btn_upload_first = tk.Button(self.root, text="上传第一张图片", command=self.upload_first_image)
            self.btn_upload_first.grid(row=0, column=0, padx=10, pady=10)
            
            # 第二张图片上传按钮
            self.btn_upload_second = tk.Button(self.root, text="上传第二张图片", command=self.upload_second_image)
            self.btn_upload_second.grid(row=0, column=1, padx=10, pady=10)
            
            # 合成按钮
            self.btn_combine = tk.Button(self.root, text="合成图片", command=self.combine_images)
            self.btn_combine.grid(row=1, column=0, columnspan=2, padx=10, pady=10)
            
            # 显示图片区域
            self.image_panel = tk.Label(self.root)
            self.image_panel.grid(row=2, column=0, columnspan=2, padx=10, pady=10)
    
        def upload_first_image(self):
            file_path = filedialog.askopenfilename(title="选择第一张图片", filetypes=[("Image files", "*.jpg;*.jpeg;*.png")])
            if file_path:
                self.first_image_path = file_path
                messagebox.showinfo("图片上传", "第一张图片已成功上传。")
        
        def upload_second_image(self):
            file_path = filedialog.askopenfilename(title="选择第二张图片", filetypes=[("Image files", "*.jpg;*.jpeg;*.png")])
            if file_path:
                self.second_image_path = file_path
                messagebox.showinfo("图片上传", "第二张图片已成功上传。")
        
        def combine_images(self):
            if not self.first_image_path or not self.second_image_path:
                messagebox.showerror("错误", "请先上传两张图片。")
                return
            
            img1 = Image.open(self.first_image_path)
            img2 = Image.open(self.second_image_path)
    
            # 检查并缩放图像,如果图像的尺寸超过指定最大尺寸
            img1 = self.resize_image(img1)
            img2 = self.resize_image(img2)
    
            # 统一宽度,按比例调整高度
            img1, img2 = self.resize_images_to_same_width(img1, img2)
    
            # 添加年份文字到图片
            self.add_text_to_image(img1, "1986")
            self.add_text_to_image(img2, "2024")
            
            width1, height1 = img1.size
            width2, height2 = img2.size
            
            new_image = Image.new('RGB', (width1, height1 + height2), (255, 255, 255))
            new_image.paste(img1, (0, 0))
            new_image.paste(img2, (0, height1))
            
            output_path = filedialog.asksaveasfilename(defaultextension=".jpg", filetypes=[("JPEG files", "*.jpg"), ("PNG files", "*.png")])
            if output_path:
                new_image.save(output_path)
                messagebox.showinfo("图片合成", f"图片已成功合并并保存到 {output_path}")
                
                new_image.thumbnail((300, 300))
                tk_image = ImageTk.PhotoImage(new_image)
                self.image_panel.config(image=tk_image)
                self.image_panel.image = tk_image
            
            self.first_image_path = None
            self.second_image_path = None
            self.image_panel.config(image='')
            messagebox.showinfo("复位", "程序已复位,可重新上传图片。")
    
        def resize_image(self, img, max_size=(2000, 2000), max_ratio=0.8):
            # 检查图像大小是否超过最大尺寸
            width, height = img.size
            max_width, max_height = max_size
            # 缩放比例,确保图像不超出最大宽度和高度
            ratio = min(max_width / width, max_height / height, max_ratio)
            
            if ratio < 1:
                new_width = int(width * ratio)
                new_height = int(height * ratio)
                img = img.resize((new_width, new_height), Image.LANCZOS)
            return img
    
        def resize_images_to_same_width(self, img1, img2):
            # 获取两张图的宽度
            width1, height1 = img1.size
            width2, height2 = img2.size
            
            # 选择较小的宽度
            new_width = min(width1, width2)
            
            # 计算按比例缩放后的高度
            new_height1 = int(height1 * (new_width / width1))
            new_height2 = int(height2 * (new_width / width2))
            
            # 调整大小
            img1 = img1.resize((new_width, new_height1), Image.LANCZOS)
            img2 = img2.resize((new_width, new_height2), Image.LANCZOS)
            
            return img1, img2
    
        def add_text_to_image(self, image, text):
            draw = ImageDraw.Draw(image)
            
            # 获取图片宽度并计算字体大小
            image_width = image.size[0]
            font_size = int(image_width * 0.10)  # 字体大小为图片宽度的 10%
            
            # 设置自定义字体路径
            font_path = r"C:\Users\Lumix\AppData\Local\Microsoft\Windows\Fonts\LCD-BOLD-5.ttf"
            
            try:
                font = ImageFont.truetype(font_path, font_size)
            except IOError:
                font = ImageFont.load_default()
            
            # 设置文字位置、颜色等
            text_position = (10, 10)
            text_color = (255, 165, 0)  # 橙黄色
            stroke_color = (139, 0, 0)  # 深红色描边
            
            # 绘制描边(文字偏移)
            for offset in [-2, 0, 2]:
                draw.text((text_position[0] + offset, text_position[1] + offset), text, fill=stroke_color, font=font)
            
            # 绘制橙黄色文字
            draw.text(text_position, text, fill=text_color, font=font)
    
    # 创建并运行应用
    root = tk.Tk()
    app = ImageCombinerApp(root)
    root.mainloop()
    

    获取西游记的对应图片,可以对小红书已经合成的图片进行裁切,由于我这边看到的很多图都是一比一组合的,因此可以很方便将图片分开:

    import sys
    import random
    import string
    from PIL import Image
    
    def generate_random_filename():
        return ''.join(random.choices(string.digits, k=8)) + '.jpg'
    
    def split_image(image_path):
        # 打开图像
        image = Image.open(image_path)
        width, height = image.size
        half_height = height // 2
    
        # 分割图像
        upper_half = image.crop((0, 0, width, half_height))
        lower_half = image.crop((0, half_height, width, height))
    
        # 生成随机文件名
        upper_filename = generate_random_filename()
        lower_filename = generate_random_filename()
    
        # 保存分割后的图像
        upper_half.save(upper_filename)
        lower_half.save(lower_filename)
    
        print(f"图像已成功分割并保存为 {upper_filename} 和 {lower_filename}")
    
    if __name__ == "__main__":
        # 检查是否提供了图像路径
        if len(sys.argv) < 2:
            print("请将图像文件拖动到此脚本上运行。")
        else:
            # 获取图像路径
            image_path = sys.argv[1]
            split_image(image_path)
    
  • 【Python】简单的按照文件类型批量分拣到对应文件夹的脚本

    快速分拣你乱乱的桌面

    import os
    import shutil
    
    # 定义文件类型和对应的文件夹
    file_types = {
        'Images': ['.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff', '.webp'],  # 添加了 .webp 格式
        'Documents': ['.pdf', '.docx', '.xlsx', '.pptx', '.txt', '.doc', '.xls', '.ppt'],  # 添加了 .doc, .xls, .ppt 格式
        'Videos': ['.mp4', '.avi', '.mkv', '.mov'],
        'Audio': ['.mp3', '.wav', '.flac'],
        'Archives': ['.zip', '.rar', '.7z'],
        'Blender': ['.blend', '.blend1'],  # Blender 文件
        'AI源文件': ['.ai']  # AI 文件
    }
    
    # 指定文件夹路径
    folder_path = r"D:24-9-new"  # 修改为你的文件夹路径
    
    # 创建目标文件夹(如果不存在)
    for folder_name in file_types.keys():
        file_type_folder = os.path.join(folder_path, folder_name)
        os.makedirs(file_type_folder, exist_ok=True)  # 使用 exist_ok=True 避免重复检查
    
    # 遍历指定文件夹中的文件,按类型分类
    for filename in os.listdir(folder_path):
        file_path = os.path.join(folder_path, filename)
    
        if os.path.isfile(file_path):
            file_extension = os.path.splitext(filename)[1].lower()
    
            for category, extensions in file_types.items():
                if file_extension in extensions:
                    destination = os.path.join(folder_path, category, filename)
    
                    # 检查是否已经存在文件
                    if not os.path.exists(destination):
                        shutil.move(file_path, destination)
                        print(f"文件 {filename} 已移动到 {category} 文件夹。")
                    else:
                        print(f"文件 {filename} 已存在于 {category} 文件夹,跳过移动。")
                    break

  • 【Python】一个适配本网站性能的压缩图片脚本

    由于网站的服务器与带宽性能有限,因此上传的图片被严格限制了边长和大小,使用脚本可以有效对想要上传的文件进行批处理,节省时间。

    参考代码:

    实现对jpg、png、webp等文件的压缩,限制最长边2560,大小2m以下,随机文件名且保留可能含有的EXIF信息。

    暂不支持中文路径文件夹。

    import os
    import random
    import string
    from PIL import Image
    import tkinter as tk
    from tkinterdnd2 import TkinterDnD, DND_FILES
    
    # 生成随机文件名
    def generate_random_filename(length=10):
        """生成指定长度的随机文件名(字母和数字)"""
        return ''.join(random.choices(string.ascii_letters + string.digits, k=length))
    
    def compress_image(input_path, max_size=2560, max_file_size=2 * 1024 * 1024, quality=85):
        """对图片进行压缩和尺寸调整,保留EXIF信息"""
        img = Image.open(input_path)
        exif_data = img.info.get("exif")  # 获取EXIF数据
        width, height = img.size
        file_size = os.path.getsize(input_path)
        
        # 生成随机文件名前缀
        random_prefix = generate_random_filename(10)  # 10 位随机字符前缀
    
        # 获取文件扩展名
        file_extension = os.path.splitext(input_path)[1].lower()
    
        # 如果图片是RGBA格式,将其转换为RGB格式,只对JPEG格式需要转换
        if img.mode == 'RGBA' and file_extension not in ['.jpeg', '.jpg']:
            output_path = os.path.join(os.path.dirname(input_path), f"{random_prefix}_已压缩{file_extension}")
            if exif_data:
                img.save(output_path, quality=quality, optimize=True, exif=exif_data)
            else:
                img.save(output_path, quality=quality, optimize=True)
        else:
            # 如果图片不需要压缩,直接保存为“无需压缩”版本
            if max(width, height) <= max_size and file_size <= max_file_size:
                output_path = os.path.join(os.path.dirname(input_path), f"{random_prefix}_无需压缩{file_extension}")
                if exif_data:
                    img.save(output_path, exif=exif_data)
                else:
                    img.save(output_path)
            else:
                # 如果需要调整大小
                if max(width, height) > max_size:
                    scaling_factor = max_size / float(max(width, height))
                    new_size = (int(width * scaling_factor), int(height * scaling_factor))
                    img = img.resize(new_size, Image.LANCZOS)
                
                # 保存为JPEG格式,质量为85
                output_path = os.path.join(os.path.dirname(input_path), f"{random_prefix}_已压缩.jpg")
                if exif_data:
                    img.save(output_path, quality=quality, optimize=True, exif=exif_data)
                else:
                    img.save(output_path, quality=quality, optimize=True)
                
                # 如果文件过大,继续降低质量,直到符合要求
                while os.path.getsize(output_path) > max_file_size and quality > 10:
                    quality -= 10
                    if exif_data:
                        img.save(output_path, quality=quality, optimize=True, exif=exif_data)
                    else:
                        img.save(output_path, quality=quality, optimize=True)
        
        return output_path
    
    # 处理拖动的文件
    def on_drop(event):
        file_paths = event.data.split()
        process_images(file_paths)
    
    # 批量处理图片
    def process_images(file_paths):
        processed_files = []
        for file_path in file_paths:
            if is_image_file(file_path):
                processed_file = compress_image(file_path)
                processed_files.append(processed_file)
        print(f"处理完成的文件: {processed_files}")
    
    # 判断文件是否为图片
    def is_image_file(file_path):
        try:
            img = Image.open(file_path)
            return True
        except IOError:
            return False
    
    # 创建GUI界面
    root = TkinterDnD.Tk()
    root.title("图片压缩工具")
    root.geometry("600x400")
    
    label = tk.Label(root, text="将图片拖到这里", padx=20, pady=20)
    label.pack(padx=20, pady=20)
    
    # 绑定拖拽事件
    root.drop_target_register(DND_FILES)
    root.dnd_bind('<<Drop>>', on_drop)
    
    # 运行主循环
    root.mainloop()