| | |
| | | |
| | | type imageWithID struct { |
| | | img *gohumantrack.ImageHumanTracker |
| | | fx float32 |
| | | fy float32 |
| | | fx float64 |
| | | fy float64 |
| | | id string |
| | | } |
| | | |
| | |
| | | fx, fy := 1.0, 1.0 |
| | | if imgW != rw || imgH != rh { |
| | | imgData = goconv.ResizeBGR(i.Data, imgW, imgH, rw, rh) |
| | | fx = (float32)(rw)/(float32)imgW |
| | | fy = (float32)(rh)/(float32)imgH |
| | | fx = (float64)(rw)/(float64)(imgW) |
| | | fy = (float64)(rh)/(float64)(imgH) |
| | | } |
| | | img := gohumantrack.ImageHumanTracker{ |
| | | Data: i.Data, |
| | | Width: imgW, |
| | | Height: imgH, |
| | | Data: imgData, |
| | | Width: rw, |
| | | Height: rh, |
| | | Channel: 3, |
| | | } |
| | | |
| | |
| | | return res |
| | | } |
| | | |
| | | func convert2ProtoHumanTrackResultWithScale(obj gohumantrack.FgResult, fx, fy float32) []*protomsg.HumanTrack { |
| | | func convert2ProtoHumanTrackResultWithScale(obj gohumantrack.FgResult, fx, fy float64) []*protomsg.HumanTrack { |
| | | res := []*protomsg.HumanTrack{} |
| | | for i := 0; i < int(obj.FgNum); i++ { |
| | | r := obj.Fginfo[i] |
| | | rect := protomsg.Rect{ |
| | | Left: (int32)((float32)(r.Left)/fx), |
| | | Right: (int32)((float32)(r.Right)/fy), |
| | | Top: (int32)((float32)(r.Top)/fx), |
| | | Bottom: (int32)((float32)(r.Bottom)/fy), |
| | | Left: (int32)((float64)(r.Left)/fx), |
| | | Right: (int32)((float64)(r.Right)/fy), |
| | | Top: (int32)((float64)(r.Top)/fx), |
| | | Bottom: (int32)((float64)(r.Bottom)/fy), |
| | | } |
| | | pr := &protomsg.HumanTrack{ |
| | | RcHuman: &rect, |
| | | Confidence: r.Confidence, |
| | | X: (int32)((float32)(r.X)/fx, |
| | | Y: (int32)((float32)(r.Y)/fy, |
| | | X: (int32)((float64)(r.X)/fx), |
| | | Y: (int32)((float64)(r.Y)/fy), |
| | | Id: r.ID, |
| | | Feature: r.Feature[:], |
| | | } |