派生自 ruleprocess
util/simpleCV.go
@@ -1,13 +1,18 @@ package util import ( "basic.com/pubsub/protomsg.git" "bufio" "bytes" "fmt" "gocv.io/x/gocv" "image" "image/color" "os" "ruleprocess/cache" "basic.com/valib/logger.git" "ruleprocess/ruleserver" "ruleprocess/structure" "strings" ) func CvRTSP() { @@ -151,89 +156,63 @@ } } func DrawPolygonOnImage()(maps map[string]interface{}, err0 error){ // draw the rook //rook := gocv.NewMatWithSize(w, w, gocv.MatTypeCV8UC3) //imgs := gocv.NewMat() ddd, err := RetrieveROM("/home/user/workspace/ruleprocess/util/105.jpg") if err != nil { fmt.Println("解码有误",err) } bbb := bytes.NewBuffer(ddd) // 必须加一个buffer 不然没有read方法就会报错 func DrawPolygonOnImageForYolo(cameraId string, img protomsg.Image, results []structure.Result,url string) (maps map[string]interface{}, err0 error) { rook, _ := gocv.NewMatFromBytes(500, 500, gocv.MatTypeCV8UC3, bbb.Bytes()) rook, _ := gocv.NewMatFromBytes(int(img.Height), int(img.Width), gocv.MatTypeCV8UC3, img.Data) //rook := gocv.IMRead("/home/user/workspace/ruleprocess/util/105.jpg",gocv.IMReadColor) defer rook.Close() green := color.RGBA{0, 255, 0, 0} points := [][]image.Point{ { image.Pt(100., 100), image.Pt(100., 400), image.Pt(400, 400), image.Pt(400, 100), }, } gocv.FillPoly(&rook, points, green) return nil,nil // 上传 //fdata,_ := gocv.IMEncode(".jpg",rook) //body := &bytes.Buffer{} //writer := multipart.NewWriter(body) //_, err1 := writer.CreateFormFile("file", "fasjuierf") //if err1 != nil { // return nil, err1 //} //boundary := writer.Boundary() ////close_string := fmt.Sprintf("\r\n--%s--\r\n", boundary) //close_buf := bytes.NewBufferString(fmt.Sprintf("\r\n--%s--\r\n", boundary)) //file := bytes.NewBuffer(fdata) //request_reader := io.MultiReader(body, file, close_buf) ////_, err = io.Copy(part, file) ////writer.WriteField(key, val) //request, err := http.NewRequest("POST", "http://192.168.1.182:6333/submit", request_reader) //request.Header.Add("Content-Type", writer.FormDataContentType()) //timeout := time.Duration(5 * time.Second) //超时时间50ms //client := &http.Client{Timeout: timeout} //resp, err := client.Do(request) //if err != nil { // log.Fatal(err) // return nil, err //} //defer func() { // if r := recover(); r != nil { // fmt.Printf("panic的内容%v\n", r) // msg := "上传图片服务器异常" // if _, ok := r.(error); ok { // msg = r.(error).Error() // fmt.Println("panic--recover()得到的是error类型") // } // if _, ok := r.(string); ok { // msg = r.(string) // fmt.Println("panic--recover()得到的是string类型") // } // err0 = errors.New(msg) // } //}() //defer resp.Body.Close() //{ // body := &bytes.Buffer{} // _, err := body.ReadFrom(resp.Body) // if err != nil { // log.Fatal(err) // } // fmt.Println(resp.StatusCode) // //fmt.Println(resp.Header) // fmt.Println(body) // //decoder := json.NewDecoder(strings.NewReader(body.String())) // decoder := make(map[string]interface{}) // if err := json.Unmarshal([]byte(body.String()), &decoder); err != nil { // return nil, err // } // return decoder, nil //} yellow := color.RGBA{255, 255, 0, 0} red := color.RGBA{255, 0, 0, 0} scale := float64(img.Width) / 960 // 画图比例 logger.Info("width:",img.Width,"--画图比例：",scale) // 分割区域id集合并根据id查询区域然后画框 for _,result := range results { polygonIds := strings.Split(result.AlarmPolygon,",") logger.Info("-----------------------看看报警区域id：",polygonIds) for i := 0; i < len(polygonIds); i++ { polygon := getPolygonById(polygonIds[i],cameraId) if polygon.Polygon != "[]" && polygon.Polygon != ""{ logger.Debug("所画区域：",polygon.Polygon) DrawAPolygon(&rook,polygon.Polygon,yellow,scale) } } } // 把目标框出来 for _,result := range results { for _,rect := range result.Location { gocv.Rectangle(&rook, image.Rect(int(rect.X), int(rect.Y), int(rect.X+rect.Width), int(rect.Y+rect.Height)), red, 1) } } //return nil,nil maps,err0 = UploadFromMat(url,rook) return } func DrawPolygonOnImageForFace(cameraId string, img protomsg.Image, results []structure.FaceResult,url string) (maps map[string]interface{}, err0 error) { rook, _ := gocv.NewMatFromBytes(int(img.Height), int(img.Width), gocv.MatTypeCV8UC3, img.Data) //rook := gocv.IMRead("/home/user/workspace/ruleprocess/util/105.jpg",gocv.IMReadColor) defer rook.Close() yellow := color.RGBA{255, 255, 0, 0} scale := float64(img.Width) / 960 // 画图比例 // 分割区域id集合并根据id查询区域然后画框 for _,result := range results { polygonIds := strings.Split(result.AlarmPolygon,",") logger.Info("-----------------------看看报警区域id：",polygonIds) for i := 0; i < len(polygonIds); i++ { polygon := getPolygonById(polygonIds[i],cameraId) logger.Info("----查到的报警框：",polygon) if polygon.Polygon != "[]" && polygon.Polygon != ""{ logger.Debug("所画区域：",polygon.Polygon) DrawAPolygon(&rook,polygon.Polygon,yellow,scale) } } } //return nil,nil maps,err0 = UploadFromMat(url,rook) return } // 把图片转成二进制流 @@ -258,3 +237,29 @@ return bytes, err } // 根据id去缓存里查询多边形 func getPolygonById(polygonId string, cameraId string) (protomsg.CameraPolygon){ // 查到摄像机所有的区域并画框 var cameraPolygons []protomsg.CameraPolygon cameraPolygons = cache.GetPolygonsByCameraId(cameraId) logger.Info("根据id查到的报警框：",cameraPolygons) for _, polygon := range cameraPolygons { logger.Info("查到的区域id：",polygon.Id,"--要匹配的数据id：",polygonId,"---是否相等：",strings.Contains(polygonId,polygon.Id)) if strings.Contains(polygonId,polygon.Id) { logger.Info("进来即相等") return polygon } } return protomsg.CameraPolygon{} } // 在图上画一个框 func DrawAPolygon(rook *gocv.Mat,polygonString string, color color.RGBA,scale float64) { points := ruleserver.Json2points(polygonString) for index := 0; index < len(points); index++ { if index == len(points)-1 { // 闭合图形 gocv.Line(rook, image.Pt(int(points[index].X * scale), int(points[index].Y * scale)), image.Pt(int(points[0].X * scale), int(points[0].Y * scale)), color, 2) } else { gocv.Line(rook, image.Pt(int(points[index].X * scale), int(points[index].Y * scale)), image.Pt(int(points[index+1].X * scale), int(points[index+1].Y * scale)), color, 2) } } }
