package util
|
|
import (
|
"bufio"
|
"bytes"
|
"encoding/json"
|
"errors"
|
"fmt"
|
"image"
|
"image/color"
|
"io"
|
"log"
|
"mime/multipart"
|
"net/http"
|
"os"
|
"time"
|
|
"gocv.io/x/gocv"
|
)
|
|
func CvRTSP() {
|
url := `rtsp://admin:a1234567@192.168.1.188:554/h264/ch1/main/av_stream`
|
|
webcam, _ := gocv.OpenVideoCapture(url)
|
window := gocv.NewWindow("Hello")
|
img := gocv.NewMat()
|
for {
|
webcam.Read(&img)
|
window.IMShow(img)
|
window.WaitKey(1)
|
}
|
}
|
|
func cvFaceDetect() {
|
// set to use a video capture device 0
|
deviceID := 0
|
url := `rtsp://admin:a1234567@192.168.1.188:554/h264/ch1/main/av_stream`
|
|
// open webcam
|
webcam, err := gocv.OpenVideoCapture(url)
|
if err != nil {
|
fmt.Println(err)
|
return
|
}
|
defer webcam.Close()
|
|
// open display window
|
window := gocv.NewWindow("Face Detect")
|
defer window.Close()
|
|
// prepare image matrix
|
img := gocv.NewMat()
|
defer img.Close()
|
|
// color for the rect when faces detected
|
blue := color.RGBA{0, 0, 255, 0}
|
|
// load classifier to recognize faces
|
classifier := gocv.NewCascadeClassifier()
|
defer classifier.Close()
|
|
if !classifier.Load("data/haarcascade_frontalface_default.xml") {
|
fmt.Println("Error reading cascade file: data/haarcascade_frontalface_default.xml")
|
return
|
}
|
|
fmt.Printf("start reading camera device: %v\n", deviceID)
|
for {
|
if ok := webcam.Read(&img); !ok {
|
fmt.Printf("cannot read device %v\n", deviceID)
|
return
|
}
|
if img.Empty() {
|
continue
|
}
|
|
// detect faces
|
rects := classifier.DetectMultiScale(img)
|
fmt.Printf("found %d faces\n", len(rects))
|
|
// draw a rectangle around each face on the original image
|
for _, r := range rects {
|
gocv.Rectangle(&img, r, blue, 3)
|
}
|
|
// show the image in the window, and wait 1 millisecond
|
window.IMShow(img)
|
window.WaitKey(1)
|
}
|
}
|
|
var w = 400
|
|
// CVDraw demo
|
func CVDraw() {
|
windowA := gocv.NewWindow("basic drawing: atom")
|
windowR := gocv.NewWindow("basic drawing: rook")
|
defer windowA.Close()
|
defer windowR.Close()
|
|
atom := gocv.NewMatWithSize(w, w, gocv.MatTypeCV8UC3)
|
defer atom.Close()
|
|
rook := gocv.NewMatWithSize(w, w, gocv.MatTypeCV8UC3)
|
defer rook.Close()
|
|
black := color.RGBA{0, 0, 0, 0}
|
blue := color.RGBA{0, 0, 255, 0}
|
red := color.RGBA{255, 0, 0, 0}
|
white := color.RGBA{255, 255, 255, 0}
|
yellow := color.RGBA{255, 255, 0, 0}
|
|
// draw the atom
|
gocv.Ellipse(&atom, image.Pt(w/2., w/2.), image.Pt(w/4.0, w/16.0), 90., 0, 360, blue, 2)
|
gocv.Ellipse(&atom, image.Pt(w/2., w/2.), image.Pt(w/4.0, w/16.0), 0., 0, 360, blue, 2)
|
gocv.Ellipse(&atom, image.Pt(w/2., w/2.), image.Pt(w/4.0, w/16.0), 45., 0, 360, blue, 2)
|
gocv.Ellipse(&atom, image.Pt(w/2., w/2.), image.Pt(w/4.0, w/16.0), -45., 0, 360, blue, 2)
|
gocv.Circle(&atom, image.Pt(w/2., w/2.), w/32., red, -1)
|
|
// draw the rook
|
points := [][]image.Point{
|
{
|
image.Pt(w/4., 7*w/8.),
|
image.Pt(3*w/4., 7*w/8.),
|
image.Pt(3*w/4., 13*w/16.),
|
image.Pt(11*w/16., 13*w/16.),
|
image.Pt(19*w/32., 3*w/8.),
|
image.Pt(3*w/4., 3*w/8.),
|
image.Pt(3*w/4., w/8.),
|
image.Pt(26*w/40., w/8.),
|
image.Pt(26*w/40., w/4.),
|
image.Pt(22*w/40., w/4.),
|
image.Pt(22*w/40., w/8.),
|
image.Pt(18*w/40., w/8.),
|
image.Pt(18*w/40., w/4.),
|
image.Pt(14*w/40., w/4.),
|
image.Pt(14*w/40., w/8.),
|
image.Pt(w/4., w/8.),
|
image.Pt(w/4., 3*w/8.),
|
image.Pt(13*w/32., 3*w/8.),
|
image.Pt(5*w/16., 13*w/16.),
|
image.Pt(w/4., 13*w/16.),
|
},
|
}
|
gocv.FillPoly(&rook, points, white)
|
gocv.Rectangle(&rook, image.Rect(0, 7*w/8.0, w, w), yellow, -1)
|
gocv.Line(&rook, image.Pt(0, 15*w/16), image.Pt(w, 15*w/16), black, 2)
|
gocv.Line(&rook, image.Pt(w/4, 7*w/8), image.Pt(w/4, w), black, 2)
|
gocv.Line(&rook, image.Pt(w/2, 7*w/8), image.Pt(w/2, w), black, 2)
|
gocv.Line(&rook, image.Pt(3*w/4, 7*w/8), image.Pt(3*w/4, w), black, 2)
|
|
for {
|
windowA.IMShow(atom)
|
windowR.IMShow(rook)
|
|
if windowA.WaitKey(10) >= 0 || windowR.WaitKey(10) >= 0 {
|
break
|
}
|
}
|
}
|
|
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
|
rook, _ := gocv.NewMatFromBytes(500, 500, gocv.MatTypeCV8UC3, bbb.Bytes())
|
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)
|
// 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
|
}
|
}
|
|
// 把图片转成二进制流
|
func RetrieveROM(filename string) ([]byte, error) {
|
file, err := os.Open(filename)
|
|
if err != nil {
|
return nil, err
|
}
|
defer file.Close()
|
|
stats, statsErr := file.Stat()
|
if statsErr != nil {
|
return nil, statsErr
|
}
|
|
var size int64 = stats.Size()
|
bytes := make([]byte, size)
|
|
bufr := bufio.NewReader(file)
|
_, err = bufr.Read(bytes)
|
|
return bytes, err
|
}
|