159 lines
5.8 KiB
Python
Executable File
159 lines
5.8 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 SAMPointSegmenter:
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def __init__(self, image_path, sam_checkpoint, model_type="vit_b"):
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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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# 存储点击的点 [(x, y, label), ...]，label=1表示目标内，0表示目标外
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self.points = []
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self.mask = None
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# 创建GUI
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self.root = tk.Tk()
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self.root.title("SAM 打点分割工具")
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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("<Button-1>", self.add_foreground_point) # 左键点击添加前景点
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self.canvas.bind("<Button-3>", self.add_background_point) # 右键点击添加背景点
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# 创建按钮
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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_btn = tk.Button(self.controls_frame, text="清除所有点", command=self.clear_points)
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self.clear_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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# 添加说明标签
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self.info_label = tk.Label(
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self.root,
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text="操作说明: 左键点击添加前景点(绿色), 右键点击添加背景点(红色)",
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fg="blue"
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)
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self.info_label.pack(pady=5)
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def add_foreground_point(self, event):
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"""添加前景点（目标内）"""
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self.points.append((event.x, event.y, 1))
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self.update_segmentation()
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def add_background_point(self, event):
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"""添加背景点（目标外）"""
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self.points.append((event.x, event.y, 0))
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self.update_segmentation()
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def update_segmentation(self):
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"""根据当前点更新分割结果"""
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# 复制原图
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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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if not self.points:
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self.update_display()
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return
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# 准备点和标签
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point_coords = np.array([(x, y) for x, y, label in self.points])
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point_labels = np.array([label for x, y, label in self.points])
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# 调用SAM生成掩码
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masks, _, _ = self.predictor.predict(
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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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# 创建半透明的掩码叠加层
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mask_array = self.mask.astype(np.uint8) * 128 # 0或128（半透明）
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mask_image = Image.fromarray(mask_array, mode="L")
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# 创建绿色的掩码图像
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green_mask = Image.new("RGBA", self.result_image.size, (0, 255, 0, 0))
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green_draw = ImageDraw.Draw(green_mask)
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green_draw.bitmap((0, 0), mask_image, fill=(0, 255, 0, 128)) # 绿色半透明
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# 叠加掩码到原图
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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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# 绘制所有点
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draw = ImageDraw.Draw(self.result_image)
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for x, y, label in self.points:
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# 前景点为绿色，背景点为红色
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color = (0, 255, 0) if label == 1 else (255, 0, 0)
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# 绘制点（内部实心，外部白色边框）
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draw.ellipse([(x - 5, y - 5), (x + 5, y + 5)], fill=color)
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draw.ellipse([(x - 7, y - 7), (x + 7, y + 7)], outline=(255, 255, 255), width=2)
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self.update_display()
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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_points(self):
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"""清除所有点和掩码"""
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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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"""保存分割结果"""
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try:
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self.result_image.save("segmentation_result.jpg")
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messagebox.showinfo("成功", "分割结果已保存为 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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"""运行GUI主循环"""
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self.root.mainloop()
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if __name__ == "__main__":
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# 配置参数
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IMAGE_PATH = "/workspace/PycharmProjects/segment-anything/scripts/ae976103-d7ec-4eed-b5d1-3e5f04d8be26.jpg" # 替换为你的图像路径
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SAM_CHECKPOINT = "/workspace/PycharmProjects/segment-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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# 创建并运行分割器
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segmenter = SAMPointSegmenter(IMAGE_PATH, SAM_CHECKPOINT, MODEL_TYPE)
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segmenter.run()
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