派生自 ruleprocess
util/simpleCV.go
@@ -3,19 +3,16 @@ import ( "basic.com/pubsub/protomsg.git" "bufio" "bytes" "encoding/json" "errors" "fmt" "gocv.io/x/gocv" "image" "image/color" "io" "log" "mime/multipart" "net/http" "os" "time" "ruleprocess/cache" "basic.com/valib/logger.git" "ruleprocess/ruleserver" "ruleprocess/structure" "strings" ) func CvRTSP() { @@ -159,90 +156,63 @@ } } func DrawPolygonOnImage(img protomsg.Image)(maps map[string]interface{}, err0 error){ // draw the rook //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 //rook,_ := gocv.IMDecode(bbb.Bytes(),gocv.IMReadColor) func DrawPolygonOnImageForYolo(cameraId string, img protomsg.Image, results []structure.Result,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() 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) gocv.Line(&rook, image.Pt(100, 100), image.Pt(100, 800), green, 2) gocv.Line(&rook, image.Pt(100, 800), image.Pt(800, 800), green, 2) gocv.Line(&rook, image.Pt(800, 800), image.Pt(800, 100), green, 2) gocv.Line(&rook, image.Pt(800, 100), image.Pt(100, 100), green, 2) 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 // 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") 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) } 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 } //return nil,nil maps,err0 = UploadFromMat(url,rook) return } // 把图片转成二进制流 @@ -267,3 +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) } } }
