分享用Python做的一个mask深度图+图片快捷抠图工具，这是以前为了给手机弄景深壁纸时做的，给自己做了个很简陋能用的，后来觉得有点方便，又有点bug，所以扔给deepseek改了改
用了tkinter,cv2和numpy

使用方法：

准备好图片文件和mask.png文件，运行，在弹出的用tkinter做的个简陋ui界面上选择主图片和深度图就行了
阈值调得越大越精确，但不是越大越效果好，多试试即可

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代码如下：

import cv2  
import numpy as np  
import os  
import tkinter as tk  
from tkinter import filedialog, messagebox  

class ImageProcessorApp:  
    def __init__(self, root):
        self.root = root
        self.root.title("mask抠图")
        self.root.geometry("300x400")
        
        title_label = tk.Label(root, text="用image和mask来抠图", font=("微软雅黑", 14))
        title_label.pack(pady=10)

        self.select_image_button = tk.Button(root, text="选择主图像", command=self.select_image)
        self.select_image_button.pack(pady=10)

        self.select_mask_button = tk.Button(root, text="选择深度图", command=self.select_mask)
        self.select_mask_button.pack(pady=10)

        self.process_button = tk.Button(root, text="处理图像", command=self.process_images)
        self.process_button.pack(pady=10)

        self.image_label = tk.Label(root, text="未选择主图像")
        self.image_label.pack(pady=5)

        self.mask_label = tk.Label(root, text="未选择深度图")
        self.mask_label.pack(pady=0)

        self.result_label = tk.Label(root, text="")
        self.result_label.pack(pady=0)

        self.threshold_label = tk.Label(root, text="调整阈值:", font=("微软雅黑", 10))
        self.threshold_label.pack(pady=0)

        self.threshold_scale = tk.Scale(root, from_=0, to=255, orient=tk.HORIZONTAL)
        self.threshold_scale.set(199)
        self.threshold_scale.pack(pady=0)

        footer_label = tk.Label(root, text="Make by SkyShadowHeo with python\n(With MIAI,to put it accurately)", font=("微软雅黑", 8))
        footer_label.pack(side=tk.BOTTOM, pady=0)

        self.image_path = None
        self.mask_path = None
        
    def select_image(self):
        self.image_path = filedialog.askopenfilename(title="选择主图像",
                                                      filetypes=[("图像文件", "*.jpg;*.jpeg;*.png")])
        if self.image_path:
            self.image_label.config(text=f"已选择主图像: {os.path.basename(self.image_path)}")

    def select_mask(self):
        self.mask_path = filedialog.askopenfilename(title="选择深度图",
                                                     filetypes=[("图像文件", "*.jpg;*.jpeg;*.png")])
        if self.mask_path:
            self.mask_label.config(text=f"已选择深度图: {os.path.basename(self.mask_path)}")

    def process_images(self):
        if not self.image_path or not self.mask_path:
            messagebox.showerror("错误", "请确保已选择主图像和深度图。")
            return

        image = cv2.imread(self.image_path)
        depth_map = cv2.imread(self.mask_path, cv2.IMREAD_GRAYSCALE)

        if image.shape[:2] != depth_map.shape[:2]:
            depth_map = cv2.resize(depth_map, (image.shape[1], image.shape[0]), interpolation=cv2.INTER_CUBIC)

        normalized_depth = cv2.normalize(depth_map, None, 0, 255, cv2.NORM_MINMAX)

        threshold_value = self.threshold_scale.get()
        _, mask = cv2.threshold(normalized_depth, threshold_value, 255, cv2.THRESH_BINARY)

        kernel = np.ones((5, 5), np.uint8)
        mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)
        mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)

        result = cv2.cvtColor(image, cv2.COLOR_BGR2BGRA)
        result[:, :, 3] = mask

        output_path = os.path.join(os.getcwd(), f'output_{threshold_value}.png')
        cv2.imwrite(output_path, result)

        self.result_label.config(text=f"处理结果已保存:\n {output_path}")

if __name__ == "__main__":  
    root = tk.Tk()
    app = ImageProcessorApp(root)
    root.mainloop()