用python将json数据与图片可视化

使用python，将已打好标签的json数据（包含矩形框的四个点像素坐标）绘制一个矩形框，与对应缺陷图片组合可视化输出，在一个新的文件夹显示

img


import cv2
import json
import os

# 设置文件路径
json_file_path = 'path/to/json/file.json'
image_folder_path = 'path/to/image/folder'
output_folder_path = 'path/to/output/folder'

# 创建用于显示的窗口
cv2.namedWindow('image', cv2.WINDOW_NORMAL)

# 读取json文件
with open(json_file_path, 'r') as f:
    data = json.load(f)

# 循环读取json中每个图片信息
for i in range(len(data['images'])):
    image_name = data['images'][i]['file_name']
    image_path = os.path.join(image_folder_path, image_name)

    # 读取图片文件
    img = cv2.imread(image_path)

    # 获得当前图片的所有标签
    annotations = [a for a in data['annotations'] if a['image_id'] == i]

    # 遍历所有标签并绘制对应的矩形框
    for a in annotations:
        x, y, w, h = a['bbox']
        cv2.rectangle(img, (int(x), int(y)), (int(x + w), int(y + h)), (0,255,0), 2)

    # 在窗口中显示图片
    cv2.imshow('image', img)

    # 将图片保存到输出文件夹中
    output_path = os.path.join(output_folder_path, image_name)
    cv2.imwrite(output_path, img)
    cv2.waitKey(0)

# 关闭窗口
cv2.destroyAllWindows()