13 KiB
13 KiB
外部接口
1. 分割试卷API:
请求:
curl --location --request POST 'https://ekt1.suzhou.edu.cn/autocut/detect' \
--header 'Accept: */*' \
--header 'Host: ekt1.suzhou.edu.cn' \
--header 'Connection: keep-alive' \
--header 'Content-Type: multipart/form-data; boundary=--------------------------687058231513459413708701' \
--form 'image=@"/Users/robertmaxwell/code/zstp/AutoCut/pic.png"' \
--form 'enable_error_detection="false"'
返回:
{
"data": {
"crop_results": {
"cropped_count": 14,
"cropped_images": [
{
"bbox": [
970,
69,
1909,
246
],
"filename": "question_001.jpg",
"question_id": 1,
"vertical_id": 1
},
{
"bbox": [
41,
107,
970,
253
],
"filename": "question_002.jpg",
"question_id": 2,
"vertical_id": 2
},
{
"bbox": [
970,
245,
1909,
479
],
"filename": "question_003.jpg",
"question_id": 3,
"vertical_id": 3
},
{
"bbox": [
41,
254,
970,
394
],
"filename": "question_004.jpg",
"question_id": 4,
"vertical_id": 4
},
{
"bbox": [
41,
395,
970,
506
],
"filename": "question_005.jpg",
"question_id": 5,
"vertical_id": 5
},
{
"bbox": [
970,
480,
1909,
661
],
"filename": "question_006.jpg",
"question_id": 6,
"vertical_id": 6
},
{
"bbox": [
41,
507,
970,
655
],
"filename": "question_007.jpg",
"question_id": 7,
"vertical_id": 7
},
{
"bbox": [
41,
656,
970,
820
],
"filename": "question_008.jpg",
"question_id": 8,
"vertical_id": 8
},
{
"bbox": [
970,
662,
1909,
904
],
"filename": "question_009.jpg",
"question_id": 9,
"vertical_id": 9
},
{
"bbox": [
41,
821,
970,
968
],
"filename": "question_010.jpg",
"question_id": 10,
"vertical_id": 10
},
{
"bbox": [
970,
905,
1909,
1183
],
"filename": "question_011.jpg",
"question_id": 11,
"vertical_id": 11
},
{
"bbox": [
41,
969,
970,
1111
],
"filename": "question_012.jpg",
"question_id": 12,
"vertical_id": 12
},
{
"bbox": [
41,
1112,
970,
1364
],
"filename": "question_013.jpg",
"question_id": 13,
"vertical_id": 13
},
{
"bbox": [
970,
1184,
1909,
1364
],
"filename": "question_014.jpg",
"question_id": 14,
"vertical_id": 14
}
],
"mode": "all_questions",
"zip_url": "/download/20251125_082929_f1975f5c"
},
"error_count": 8,
"error_details": [
{
"error_boxes": [
{
"bbox": [
1772,
678,
44,
44
],
"class_name": "cuo",
"confidence": 0.7618222236633301
}
],
"match_method": "中心点包含",
"question_box": {
"bbox": [
970,
662,
939,
242
]
}
},
{
"error_boxes": [
{
"bbox": [
1209,
163,
31,
32
],
"class_name": "cuo",
"confidence": 0.7555574178695679
}
],
"match_method": "中心点包含",
"question_box": {
"bbox": [
970,
69,
939,
177
]
}
},
{
"error_boxes": [
{
"bbox": [
1225,
533,
46,
44
],
"class_name": "cuo",
"confidence": 0.7304249405860901
}
],
"match_method": "中心点包含",
"question_box": {
"bbox": [
970,
480,
939,
181
]
}
},
{
"error_boxes": [
{
"bbox": [
797,
827,
40,
42
],
"class_name": "cuo",
"confidence": 0.7287607192993164
}
],
"match_method": "中心点包含",
"question_box": {
"bbox": [
41,
821,
929,
147
]
}
},
{
"error_boxes": [
{
"bbox": [
1299,
363,
33,
33
],
"class_name": "cuo",
"confidence": 0.7262661457061768
}
],
"match_method": "中心点包含",
"question_box": {
"bbox": [
970,
245,
939,
234
]
}
},
{
"error_boxes": [
{
"bbox": [
1226,
1028,
36,
36
],
"class_name": "cuo",
"confidence": 0.7171130776405334
}
],
"match_method": "中心点包含",
"question_box": {
"bbox": [
970,
905,
939,
278
]
}
},
{
"error_boxes": [
{
"bbox": [
814,
1116,
36,
37
],
"class_name": "cuo",
"confidence": 0.7121084332466125
}
],
"match_method": "中心点包含",
"question_box": {
"bbox": [
41,
1112,
929,
252
]
}
},
{
"error_boxes": [
{
"bbox": [
793,
127,
39,
30
],
"class_name": "xie",
"confidence": 0.5237091183662415
}
],
"match_method": "中心点包含",
"question_box": {
"bbox": [
41,
107,
929,
146
]
}
}
],
"error_symbol_count": 8,
"question_count": 14,
"session_id": "20251125_082929_f1975f5c",
"visualization_images": {
"error_symbols": "/visualizations/20251125_082929_f1975f5c/error_symbols.jpg",
"matched_errors": "/visualizations/20251125_082929_f1975f5c/matched_errors.jpg",
"questions": "/visualizations/20251125_082929_f1975f5c/questions.jpg"
}
},
"success": true
}
被切割后的图片拼接方式:
https://ekt1.suzhou.edu.cn/autocut/files/<session_id>/<filename>
如上图,则被切割了14个图片:
https://ekt1.suzhou.edu.cn/autocut/files/20251125_082929_f1975f5c/question_001.jpg
https://ekt1.suzhou.edu.cn/autocut/files/20251125_082929_f1975f5c/question_002.jpg
https://ekt1.suzhou.edu.cn/autocut/files/20251125_082929_f1975f5c/question_003.jpg
…………
…………
https://ekt1.suzhou.edu.cn/autocut/files/20251125_082929_f1975f5c/question_014.jpg
question_id 也需要记录。其他字段忽略.
返回错误包括:只支持图片格式: { "message": "不支持的文件格式", "success": false }
字段缺失或错误: { "message": "没有上传图片文件", "success": false }
2. ocr api：
输入：上面的切割试卷api所生成的url； 输出：markdown形式的带有数学公式的题目文本内容。 大模型api地址：https://oneapi.apps.k8s.aiscenes.cn/v1/chat/completions openai兼容格式 模型名称：qwen-vl，是一个VL模型。 上传需要先把url解析成base64。模型不能直接识别url。 设定温度为0； 设定提示词是：
你是一名数学文字识别专家。
你的任务是，将图片中的文字，严格转换为markdown格式的文字；
如图中有数学公式，你必须使用$或者$$进行包裹，生成markdown可解析的latex格式的数学公式；
你无需输出其他任何解释性文字，只需严格输出图片中的文字。