351 lines
7.2 KiB
Markdown
351 lines
7.2 KiB
Markdown
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# 算法与后台解耦规则
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# 1、方法
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postgres 的ai_model_list 表，id字段声明为6位长度数字
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1、第1位表示算法类别，1xxxxx 表明为目标识别、2xxxxx标明为语义分割、3xxxxx表示变化监测
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2、最后两位表示二次计算，100001 表示做目标识别、100002表示做目标识别，且做人员计数
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# 接口名：视频流识别
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接收前端的视频流、模型、识别类型，算法做计算，并且将计算结果存储到minio，消息通过mqtt发送
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## 1、请求
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接口 /ai/stream/back_detect
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方法 post
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headers X-API-Token:5e8899fe-dc74-4280-8169-2f4d185f3afa
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body
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```
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{
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"task_id": "1234567890", #任务id
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"sn":"", #无人机sn
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"content_body": {
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"source_url": "rtmp://192.168.0.142:1935/live/123456", #无人机视频流url
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"confidence":0.4, #置信度
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"model_func_id":[100001,100002] #方法id
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}
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}
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```
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## 2、响应
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算法的响应分为两个部分
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1、rest响应，表明收到请求
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2、mqtt消息，持续输出计算结果
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### 1、rest
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```
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{
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"status": "success",
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"task_id": "1234567890",
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"message": "Detection started successfully"
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}
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```
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### 2、mqtt
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ip 112.44.103.230 端口 1883
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topic thing/product/ai/events
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```
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{
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"task_id": "1234567890",
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"minio": {
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"minio_path": "ai_result/20250702/1751425303860-output-1751425303800959985.jpg",
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"file_type": "pic"
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},
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"box_detail": {
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"result_100001": {
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"func_id_10001": 100001,
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"type_name": "行人",
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"cls_count": 1,
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"box_count": [
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[
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{
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"track_id": 22099,
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"confidence": 0.34013107419013977,
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"cls_id": 0,
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"type_name": "行人",
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"box": [
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15.935794830322266,
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694.75390625,
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33.22901916503906,
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713.1658935546875
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]
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}
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]
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]
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}
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},
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"uav_location": {
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"data": {
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"attitude_head": 60,
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"gimbal_pitch": 60,
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"gimbal_roll": 60,
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"gimbal_yaw": 60,
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"height": 10,
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"latitude": 10,
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"longitude": 10,
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"speed_x": 10,
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"speed_y": 10,
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"speed_z": 10
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},
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"timestamp": 1751425301213249700
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}
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}
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```
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# 接口名：图片识别
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接收前端的图片，算法做计算，并且将计算结果存储到minio，消息通过mqtt发送
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## 1、请求
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接口 /ai/pic/back_detect_pic
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方法 post
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headers X-API-Token:5e8899fe-dc74-4280-8169-2f4d185f3afa
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body
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```
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{
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"task_id": "0001111",
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"content_body": {
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"s3_id":1, #根据id适配，minio相关存储参数
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"s3_url":[
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"test/frame_0000.jpg","test/frame_0001.jpg","test/frame_0002.jpg" # minio文件地址
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],
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"confidence":0.4, #算法置信度
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"model_func_id":[10001,10002] #方法id
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}
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}
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```
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## 2、响应
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算法的响应分为两个部分
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1、rest响应，表明收到请求
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2、mqtt消息，持续输出计算结果
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### 1、rest
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```
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{
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"status": "success",
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"task_id": "0001111",
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"message": "Detection started successfully"
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}
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```
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### 2、mqtt
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ip 112.44.103.230 端口 1883
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topic thing/product/ai/events
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```
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{
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"task_id": "0001111", #任务id
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"minio": {
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"minio_path": "ai_result/20250627/1751006943659-frame_0001.jpg", # minio 存储路径
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"file_type": "pic"
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},
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"box_detail": {
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"model_id": 10001,
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"box_count": [
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{
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"type": 3, # 类型
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"type_name": "车辆", #类型名称
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"count": 71 #数量
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},
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{
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"type": 0,
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"type_name": "车辆",
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"count": 7
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}
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]
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}
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}
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```
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# 接口名：地类分割
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接收前端的图片，算法做计算，并且将计算结果存储到minio，消息通过mqtt发送
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## 1、请求
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接口 /ai/pic/back_detect_pic
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方法 post
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headers X-API-Token:5e8899fe-dc74-4280-8169-2f4d185f3afa
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body
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```
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{
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"task_id": "7a5c83e0-fe0d-47bf-a8e1-9bd663508783",
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"content_body": {
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"s3_id":1,#根据id适配，minio相关存储参数
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"s3_url":[
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"test/patch_0011.png", # minio文件地址
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"test/patch_0012.png"
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],
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"model_func_id":[20000,20001] #方法id
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}
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}
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```
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## 2、响应
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算法的响应分为两个部分
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1、rest响应，表明收到请求
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2、mqtt消息，持续输出计算结果
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### 1、rest
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```
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{
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"status": "success",
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"task_id": "0001111",
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"message": "Detection started successfully"
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}
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```
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### 2、mqtt
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ip 112.44.103.230 端口 1883
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topic thing/product/ai/events
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```
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{
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"task_id": "7a5c83e0-fe0d-47bf-a8e1-9bd663508783",
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"minio": [
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{
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"minio_path_before": "ai_result/20250710/1752128232469-patch_0011.png", # 需要分割的图片
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"minio_path_after": "ai_result/20250710/1752128234222-patch_0011.png", #分割之后的图片
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"minio_path_boundary": "ai_result/20250710/1752128234264-patch_0011.pngfinal_vis.png", # 分割的边界图片
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"minio_path_json": "ai_result/20250710/1752128234326-patch_0011.pnginstance_results.json", #分割生成的json文件
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"file_type": "pic"
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},
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{
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"minio_path_before": "ai_result/20250710/1752128240382-patch_0012.png",
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"minio_path_after": "ai_result/20250710/1752128241553-patch_0012.png",
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"minio_path_boundary": "ai_result/20250710/1752128241587-patch_0012.pngfinal_vis.png",
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"minio_path_json": "ai_result/20250710/1752128241631-patch_0012.pnginstance_results.json",
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"file_type": "pic"
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}
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]
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}
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```
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# 接口名：地类变化监测
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接收前端的图片，对一期、二期的图像做变化监测，并且将计算结果存储到minio，消息通过mqtt发送
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## 1、请求
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接口 /ai/pic/back_detect_pic
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方法 post
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headers X-API-Token:5e8899fe-dc74-4280-8169-2f4d185f3afa
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body
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```
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{
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"task_id": "9fa19ec3-d982-4897-af6c-2c78f786c760",
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"content_body": {
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"s3_id":1,
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"s3_url":{
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"early":"/test/1-00205.png", # 一期图像minio文件地址
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"later":"/test/2-00205.png" # 二期图像minio文件地址
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},
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"model_func_id":[30000,30001]
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}
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}
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```
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## 2、响应
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算法的响应分为两个部分
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1、rest响应，表明收到请求
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2、mqtt消息，持续输出计算结果
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### 1、rest
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```
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{
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"status": "success",
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"task_id": "0001111",
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"message": "Detection started successfully"
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}
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```
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### 2、mqtt
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ip 112.44.103.230 端口 1883
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topic thing/product/ai/events
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```
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{
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"task_id": "9fa19ec3-d982-4897-af6c-2c78f786c760",
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"minio": {
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"minio_path_1": "ai_result/20250627/1751007686483-1-00205.png", # 一期影像，minio地址
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"minio_path_2": "ai_result/20250627/1751007686541-2-00205.png", # 二期影像，minio地址
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"minio_path_result": "ai_result/20250627/1751007686.458642-result-2-00205.png", #识别结果，minio地址
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"file_type": "pic"
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}
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}
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```
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