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