258 lines
10 KiB
Python
Executable File
258 lines
10 KiB
Python
Executable File
import numpy as np
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import torch
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from PIL import Image, ImageDraw, ImageTk
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import tkinter as tk
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from tkinter import messagebox
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from segment_anything import SamPredictor, sam_model_registry
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class SAMPointBoxSegmenter:
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def __init__(self, image_path, sam_checkpoint, model_type="vit_h"):
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# 加载图像
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self.image = Image.open(image_path).convert("RGB")
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self.original_image = self.image.copy()
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self.result_image = self.image.copy()
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# 初始化SAM模型
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self.device = "cuda" if torch.cuda.is_available() else "cpu"
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self.sam = sam_model_registry[model_type](checkpoint=sam_checkpoint)
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self.sam.to(device=self.device)
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self.predictor = SamPredictor(self.sam)
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# 准备图像供SAM使用
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self.image_np = np.array(self.image)
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self.predictor.set_image(self.image_np)
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# 交互状态变量
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self.drawing_box = False # 是否正在绘制框
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self.start_x, self.start_y = 0, 0 # 框起点
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self.current_box = None # 当前框坐标 [x1, y1, x2, y2]
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self.points = [] # 点坐标及标签 [(x, y, label), ...]，label=1前景，0背景
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self.mask = None # 生成的掩码
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# 创建GUI
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self.root = tk.Tk()
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self.root.title("SAM 点框组合分割工具")
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# 创建画布
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self.tk_image = ImageTk.PhotoImage(image=self.image)
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self.canvas = tk.Canvas(self.root, width=self.image.width, height=self.image.height)
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self.canvas.create_image(0, 0, image=self.tk_image, anchor=tk.NW)
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self.canvas.pack()
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# 绑定鼠标事件
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self.canvas.bind("<ButtonPress-1>", self.on_left_down) # 左键：开始画框或加点
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self.canvas.bind("<B1-Motion>", self.on_left_drag) # 左键拖动：画框
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self.canvas.bind("<ButtonRelease-1>", self.on_left_up) # 左键释放：确认框
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self.canvas.bind("<Button-3>", self.add_background_point) # 右键：添加背景点
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# 控制按钮
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self.controls_frame = tk.Frame(self.root)
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self.controls_frame.pack(fill=tk.X, padx=5, pady=5)
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self.clear_box_btn = tk.Button(self.controls_frame, text="清除框", command=self.clear_box)
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self.clear_box_btn.pack(side=tk.LEFT, padx=5)
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self.clear_points_btn = tk.Button(self.controls_frame, text="清除点", command=self.clear_points)
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self.clear_points_btn.pack(side=tk.LEFT, padx=5)
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self.clear_all_btn = tk.Button(self.controls_frame, text="清除全部", command=self.clear_all)
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self.clear_all_btn.pack(side=tk.LEFT, padx=5)
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self.save_btn = tk.Button(self.controls_frame, text="保存结果", command=self.save_result)
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self.save_btn.pack(side=tk.LEFT, padx=5)
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self.quit_btn = tk.Button(self.controls_frame, text="退出", command=self.root.quit)
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self.quit_btn.pack(side=tk.RIGHT, padx=5)
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# 操作说明
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self.info_label = tk.Label(
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self.root,
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text="操作说明: 左键拖动画框 | 左键点击加前景点(绿) | 右键点击加背景点(红) | 框和点可组合使用",
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fg="blue",
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wraplength=600 # 自动换行
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)
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self.info_label.pack(pady=5)
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# ------------------------------ 鼠标事件处理 ------------------------------
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def on_left_down(self, event):
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"""左键按下：判断是开始画框还是添加前景点"""
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# 若已有框且点击位置不在框起点附近，则视为添加前景点
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if self.current_box is not None:
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self.points.append((event.x, event.y, 1)) # 前景点（绿色）
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self.update_segmentation()
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return
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# 否则视为开始画框
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self.drawing_box = True
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self.start_x, self.start_y = event.x, event.y
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def on_left_drag(self, event):
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"""左键拖动：绘制动态框（仅当正在画框时）"""
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if not self.drawing_box:
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return
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# 临时图像上绘制虚线框
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temp_img = self.original_image.copy()
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draw = ImageDraw.Draw(temp_img)
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# 绘制四条虚线边（兼容所有Pillow版本）
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x1, y1 = self.start_x, self.start_y
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x2, y2 = event.x, event.y
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self.draw_dashed_line(draw, x1, y1, x2, y1, [5, 5], "red", 2) # 上边
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self.draw_dashed_line(draw, x2, y1, x2, y2, [5, 5], "red", 2) # 右边
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self.draw_dashed_line(draw, x2, y2, x1, y2, [5, 5], "red", 2) # 下边
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self.draw_dashed_line(draw, x1, y2, x1, y1, [5, 5], "red", 2) # 左边
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# 叠加已有点
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self._draw_points(draw)
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# 更新显示
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self.tk_image = ImageTk.PhotoImage(image=temp_img)
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self.canvas.delete("all")
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self.canvas.create_image(0, 0, image=self.tk_image, anchor=tk.NW)
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def on_left_up(self, event):
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"""左键释放：确认框选"""
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if not self.drawing_box:
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return
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self.drawing_box = False
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# 确定框坐标（左上角到右下角）
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self.current_box = [
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min(self.start_x, event.x),
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min(self.start_y, event.y),
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max(self.start_x, event.x),
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max(self.start_y, event.y)
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]
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self.update_segmentation()
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def add_background_point(self, event):
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"""右键点击：添加背景点（红色）"""
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self.points.append((event.x, event.y, 0))
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self.update_segmentation()
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# ------------------------------ 辅助函数 ------------------------------
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def draw_dashed_line(self, draw, x1, y1, x2, y2, dash_pattern, color, width):
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"""绘制虚线（兼容所有Pillow版本）"""
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dx = x2 - x1
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dy = y2 - y1
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length = (dx ** 2 + dy ** 2) ** 0.5
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if length < 1:
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draw.line([(x1, y1), (x2, y2)], fill=color, width=width)
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return
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ux, uy = dx / length, dy / length # 单位向量
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current_pos = 0
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dash_on = True
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pattern_idx = 0
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seg_len = dash_pattern[pattern_idx]
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while current_pos < length:
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end_pos = min(current_pos + seg_len, length)
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x_start, y_start = x1 + ux * current_pos, y1 + uy * current_pos
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x_end, y_end = x1 + ux * end_pos, y1 + uy * end_pos
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if dash_on:
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draw.line([(x_start, y_start), (x_end, y_end)], fill=color, width=width)
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dash_on = not dash_on
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pattern_idx = (pattern_idx + 1) % len(dash_pattern)
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seg_len = dash_pattern[pattern_idx]
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current_pos = end_pos
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def _draw_points(self, draw):
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"""在图像上绘制所有点"""
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for x, y, label in self.points:
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color = (0, 255, 0) if label == 1 else (255, 0, 0) # 绿=前景，红=背景
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draw.ellipse([(x - 5, y - 5), (x + 5, y + 5)], fill=color) # 内部实心
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draw.ellipse([(x - 7, y - 7), (x + 7, y + 7)], outline=(255, 255, 255), width=2) # 白色边框
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# ------------------------------ 分割逻辑 ------------------------------
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def update_segmentation(self):
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"""结合框和点生成掩码"""
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self.result_image = self.original_image.copy()
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draw = ImageDraw.Draw(self.result_image)
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# 准备提示信息（框和点）
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box = np.array(self.current_box) if self.current_box else None
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point_coords = np.array([(x, y) for x, y, label in self.points]) if self.points else None
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point_labels = np.array([label for x, y, label in self.points]) if self.points else None
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# 若没有任何提示，直接显示原图
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if box is None and point_coords is None:
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self._draw_points(draw)
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self.update_display()
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return
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# 调用SAM生成掩码（同时传入框和点）
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masks, _, _ = self.predictor.predict(
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box=box,
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point_coords=point_coords,
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point_labels=point_labels,
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multimask_output=False
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)
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self.mask = masks[0]
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# 叠加掩码（半透明绿色）
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mask_array = self.mask.astype(np.uint8) * 128 # 0或128（半透明）
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mask_img = Image.fromarray(mask_array, mode="L")
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green_mask = Image.new("RGBA", self.result_image.size, (0, 0, 0, 0))
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green_draw = ImageDraw.Draw(green_mask)
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green_draw.bitmap((0, 0), mask_img, fill=(0, 255, 0, 128)) # 绿色半透明
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self.result_image = Image.alpha_composite(
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self.result_image.convert("RGBA"),
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green_mask
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).convert("RGB")
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# 绘制框和点
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if self.current_box:
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draw.rectangle(self.current_box, outline="red", width=2) # 实线框
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self._draw_points(draw)
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self.update_display()
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# ------------------------------ 控制函数 ------------------------------
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def update_display(self):
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"""更新画布显示"""
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self.tk_image = ImageTk.PhotoImage(image=self.result_image)
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self.canvas.delete("all")
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self.canvas.create_image(0, 0, image=self.tk_image, anchor=tk.NW)
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def clear_box(self):
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"""清除当前框"""
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self.current_box = None
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self.update_segmentation()
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def clear_points(self):
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"""清除所有点"""
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self.points = []
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self.update_segmentation()
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def clear_all(self):
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"""清除框和点"""
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self.current_box = None
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self.points = []
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self.mask = None
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self.result_image = self.original_image.copy()
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self.update_display()
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def save_result(self):
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"""保存结果"""
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try:
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self.result_image.save("combined_segmentation_result.jpg")
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messagebox.showinfo("成功", "结果已保存为 combined_segmentation_result.jpg")
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except Exception as e:
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messagebox.showerror("错误", f"保存失败: {str(e)}")
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def run(self):
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"""启动GUI"""
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self.root.mainloop()
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if __name__ == "__main__":
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# 配置路径
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IMAGE_PATH = "ae976103-d7ec-4eed-b5d1-3e5f04d8be26.jpg" # 替换为你的图像路径
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SAM_CHECKPOINT = "/mnt/data/workspace/Code/aida_seg_anything/checkpoint/sam_vit_h_4b8939.pth" # 替换为你的SAM模型路径
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MODEL_TYPE = "vit_h" # 模型类型，与checkpoint对应
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# 运行工具
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segmenter = SAMPointBoxSegmenter(IMAGE_PATH, SAM_CHECKPOINT, MODEL_TYPE)
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segmenter.run()
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