我想用我的数据进行图像分割训练。
我使用 labelImg 获得了图像的 json 文件。
我想使用 json 文件获取图像的掩码。
有没有办法将 json 文件转换为图像格式（.jpg、.png）？
另外，是否有与使用 keras 进行图像分割相关的示例？
json 文件如下所示：
{
"version": "4.5.7",
"flags": {},
"shapes": [
{
"label": "melt pool",
"points": [
[
102.56882255389718,
134.1625207296849
],
[
99.74958540630182,
131.67495854063017
],
[
97.75953565505804,
129.35323383084577
],
[
96.2669983416252,
124.54394693200663
],
[
96.10116086235489,
120.23217247097844
],
[
95.76948590381426,
115.25704809286898
],
[
96.43283582089552,
107.7943615257048
],
[
98.92039800995025,
103.15091210613598
],
[
101.40796019900498,
99.33665008291874
],
[
104.22719734660032,
96.51741293532338
],
[
107.87562189054727,
94.69320066334991
],
[
113.01658374792703,
93.69817578772802
],
[
117.32835820895522,
94.5273631840796
],
[
120.97678275290215,
97.18076285240464
],
[
124.12769485903814,
99.83416252072968
],
[
127.27860696517413,
103.64842454394693
],
[
129.60033167495854,
109.28689883913763
],
[
129.60033167495854,
114.92537313432835
],
[
128.93698175787728,
121.06135986733001
],
[
126.61525704809287,
127.19734660033167
],
[
121.97180762852403,
131.17744610281923
],
[
117.82587064676616,
133.83084577114428
],
[
112.18739635157544,
134.82587064676616
],
[
107.54394693200663,
135.15754560530678
]
],
"group_id": 1,
"shape_type": "polygon",
"flags": {}
},
{
"label": "spatter",
"points": [
[
80.8441127694859,
124.04643449419568
],
[
75.86898839137645,
123.38308457711442
],
[
74.04477611940298,
120.39800995024875
],
[
74.21061359867329,
116.58374792703151
],
[
75.53731343283582,
112.43781094527363
],
[
79.01990049751244,
111.27694859038142
],
[
83.99502487562188,
112.76948590381426
],
[
87.64344941956882,
115.75456053067992
],
[
87.4776119402985,
120.56384742951907
],
[
84.99004975124377,
123.54892205638474
]
],
"group_id": 2,
"shape_type": "polygon",
"flags": {}
}
],
"imagePath": "..\\resize_data\\melt_pool_1.jpg",
"imageData": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADgAOADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD5/ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKuWGnXGozCOCNm9SB0r0bQvhLdajErvFKSfagDy2ivXNW+Dd3Zwu6RSDHQ15zq+g3ekSssqHaO+OlAGTRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVoafot/qgJtYS4HegDPqxZWj3t0kKDljV688OapY4862YA9xXR+AtGeXVA0sfOQMGgD1/4bfDu3S2S6uF+QAduvtXsMFvFbRLHCgRAMACq2kWy2ulW8SqBhATV+gBjosilXUMp6givN/iH4Gtr6xkureFQcfMMdK9LqC6hW4tJYnGQykYoA+Gda0x9Mv3iK4XPFZtek/FDTFt76R1XGHrzagAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigB8YBkUHpkZr6k+EuhaXJou826sQo618sV6V8PviNdeHn8iSYhcYGTwaAPoPxb4V0u504y/Z1Vl4+XvXmuh6TDY6ywRTgMMVf1P4ltqVkqrIvOOhqho+om4vy5xyR0oA91syDZwkdNgqes3RLkT6fGM5KitKgApkh2xsT0ANPrO1m8W00+Q5AZhgUAfN/xWZXnnI/vGvIa9P+Itx50kp9zXmFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBp6ZdyLIsZJIHTmvTvDM+HQ5ryexOLgV6PoM+3ZzQB7n4f1byo0G6uui1SCRck4rx7TdR2qvzVvR6sQv3v1oA7681eKCJmTlh0zXmuu+L/ttxNalHDpnJPSpLzVWKH5j+dcRqUv76ST1zQBxnjCbzS5964Ouu8Qybw1cjQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUATWrbZhXaaTcbQvNcPG21wa6PT58BeaAPQrO/wBzWrHqPy/eriLe7wBzWjFecdaAOjnvsjrWPeyFonOc1B9q3dTUNzdKIWBIz6UAcjrTZ3VzNbusShi2KwqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArUs5sAc1l1NBJtbFAHSQ3PHWtCG6461zcc2O9Wo7n3oA6IXQ9azry7+dsGqn2rjrVS5m4LZ60AUb6Xe2KpU+Vtzk0ygAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAJElI6mpln96q0UAXxP71HPLujx71V3H1oLE0AJRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//2Q==",
"imageHeight": 224,
"imageWidth": 224
}