trajectory/visualize_images.py

import json
import os
from PIL import Image, ImageDraw

trajectory_final = './trajectory.json'
output_img_dir = './visualized_images'
img_dir = './images'

with open(trajectory_final, 'r') as f:
    data = json.load(f)
    for item in data:
        filepath = os.path.join(img_dir, item['image_path'])
        points = item['trajectory']

        image = Image.open(filepath).convert("RGB")  # 确保图像是 RGB 模式
        draw = ImageDraw.Draw(image)  # 创建绘图对象
        # 定义颜色和线宽
        color = (255, 0, 0)  # 红色 (RGB 格式)
        thickness = 2


        scaled_points = [
                (point[0], point[1])
                for point in points
            ]
        # 按照顺序连接相邻的点
        for i in range(len(scaled_points) - 1):
            draw.line([scaled_points[i], scaled_points[i + 1]], fill=color, width=thickness)

        # 获取相对路径并拼接目标路径
        relative_path = os.path.relpath(filepath, img_dir)
        output_img_path = os.path.join(output_img_dir, relative_path)

        # 创建目标文件夹
        output_directory = os.path.dirname(output_img_path)
        if not os.path.exists(output_directory):
            os.makedirs(output_directory)

        # 打印调试信息
        print(f"Input filepath: {filepath}")
        print(f"Output image path: {output_img_path}")
        print(f"Output directory: {output_directory}")

        # 保存图像
        image.save(output_img_path)