python解析json文件

JSON(JavaScript Object Notation) 是一种轻量级的数据交换格式。在机器学习和深度学习中，解析标签文件时常常用到json文件。利用python进行标签解析是非常常见的，此处进行简单记录。json文件如下所示：

{
  "version": "3.16.7",
  "flags": {},
  "shapes": [
    {
      "label": "scab",
      "line_color": null,
      "fill_color": null,
      "points": [
        [
          24.307692307692307,
          282.8131868131868
        ],
        [
          515.5164835164835,
          787.2087912087911
        ]
      ],
      "shape_type": "rectangle",
      "flags": {}
    },
    {
      "label": "scab",
      "line_color": null,
      "fill_color": null,
      "points": [
        [
          529.8021978021978,
          134.46153846153845
        ],
        [
          960.5714285714284,
          858.6373626373626
        ]
      ],
      "shape_type": "rectangle",
      "flags": {}
    },
    {
      "label": "scab",
      "line_color": null,
      "fill_color": null,
      "points": [
        [
          964.967032967033,
          304.79120879120876
        ],
        [
          1367.164835164835,
          704.7912087912088
        ]
      ],
      "shape_type": "rectangle",
      "flags": {}
    }
  ],
  "lineColor": [
    0,
    255,
    0,
    128
  ],
  "fillColor": [
    255,
    0,
    0,
    128
  ],
  "imagePath": "TriggerQS-15208921-152.jpg",
  "imageData": XXXXXXX(数据)

利用python对其进行解析时可使用json依赖包:

import json

with open(file_json, 'r', encoding='utf-8') as f:
    ret_dic = json.load(f)
    print(ret_dic['shapes'][0]['label'])
    print(ret_dic['shapes'][0]['points'])

scab
[[159.47252747252747, 327.86813186813185], [459.4725274725274, 702.5934065934066]]

获取数据只需要关键字就可以了，结果返回的式list或者dict。