| | |
| | | // 从算法模块儿拿来的对一帧图像各个算法提取的数据集合 |
| | | type SdkDatas struct { |
| | | CameraId string |
| | | Sdkdata []SdkData |
| | | Sdkdata []*SdkData |
| | | RuleResult map[string]interface{} // 过完规则后打的标签 face: []Arg yolo: []Result |
| | | } |
| | | |
| | |
| | | } |
| | | |
| | | // 把sdk从数据帧上提取的按照区域分类归置 |
| | | func SdkDataFormat(cameraId string, arg SdkData, cameraPolygons []protomsg.CameraPolygon) { |
| | | func SdkDataFormat(cameraId string, arg *SdkData, cameraPolygons []protomsg.CameraPolygon) { |
| | | for _, polygon := range cameraPolygons { |
| | | //log.Println("++++++在这儿看一下区域啊", polygon) |
| | | areaMap := AreaMap{cameraId: cameraId, areaId: polygon.Id, areaJson: polygon.Polygon, triggerLine: polygon.TriggerLine, directionLine: polygon.DirectionLine} |
| | |
| | | } |
| | | |
| | | // 计算区域内的目标数量以及将相似度、占比、尺寸等打包 |
| | | func (a *AreaMap) CountAreaObjs(arg SdkData) { |
| | | func (a *AreaMap) CountAreaObjs(arg *SdkData) { |
| | | |
| | | a.targetNum = 0 |
| | | threshold := 0.0 // 相似度 |