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classifier.go
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/
classifier.go
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package classifier
import (
"fmt"
"image"
"image/color"
"os"
"gocv.io/x/gocv"
"time"
)
func DisplayDetection(camId int , cascadeFile string) {
displayText := "Human";
cam , err := gocv.VideoCaptureDevice(camId);
if err != nil {
fmt.Println(err);
os.Exit(1);
}
defer cam.Close();
window := gocv.NewWindow("Face Detection - By M.Omer Ali");
defer window.Close();
camImg := gocv.NewMat();
defer camImg.Close();
classifier := gocv.NewCascadeClassifier();
defer classifier.Close();
if !classifier.Load(cascadeFile) {
fmt.Println("Error loading Cascade Classifier 'file :" , cascadeFile);
os.Exit(1);
}
for {
if !cam.Read(&camImg) {
fmt.Println("Error reading from webcam!");
os.Exit(1);
}
if camImg.Empty() {
fmt.Println("Image is empty");
continue;
}
rects := classifier.DetectMultiScale(camImg);
rectColor := color.RGBA{255 , 0 , 0 , 0};
fontFace := gocv.FontHersheySimplex;
for _ , rect := range rects {
gocv.Rectangle(&camImg , rect , rectColor , 4);
textSize := gocv.GetTextSize(displayText , fontFace , 1.2 , 2);
imagePoint := image.Pt(rect.Min.X+(rect.Min.X/2)-(textSize.X/2), rect.Min.Y-2);
gocv.PutText(&camImg , displayText , imagePoint , fontFace , 1.2 , rectColor , 2);
}
window.IMShow(camImg);
if window.WaitKey(1) >= 0 {
break;
}
}
}
func DisplayDetectionTimeout(camId int , cascadeFile string , timeLimit int){
displayText := "Human";
cam , err := gocv.VideoCaptureDevice(camId);
if err != nil {
fmt.Println(err);
os.Exit(1);
}
defer cam.Close();
window := gocv.NewWindow("Face Detection - By M.Omer Ali");
defer window.Close();
camImg := gocv.NewMat();
defer camImg.Close();
classifier := gocv.NewCascadeClassifier();
defer classifier.Close();
if !classifier.Load(cascadeFile) {
fmt.Println("Error loading Cascade Classifier 'file :" , cascadeFile);
os.Exit(1);
}
for timeout := time.After(time.Duration(timeLimit) * time.Second); ;{
if !cam.Read(&camImg) {
fmt.Println("Error reading from webcam!");
os.Exit(1);
}
if camImg.Empty() {
continue;
}
rects := classifier.DetectMultiScale(camImg);
fmt.Println("No. of people in image :" ,len(rects));
rectColor := color.RGBA{255 , 0 , 0 , 0};
fontFace := gocv.FontHersheySimplex;
for _ , rect := range rects {
gocv.Rectangle(&camImg , rect , rectColor , 4);
textSize := gocv.GetTextSize(displayText , fontFace , 1.2 , 2);
imagePoint := image.Pt(rect.Min.X+(rect.Min.X/2)-(textSize.X/2), rect.Min.Y-2);
gocv.PutText(&camImg , displayText , imagePoint , fontFace , 1.2 , rectColor , 2);
}
window.IMShow(camImg);
if window.WaitKey(1) >= 0 {
break;
}
select {
case <-timeout:
return;
default:
}
}
}
func DetectPeople(cameraId int , classifierFile string) (numPeople int) {
cam , err := gocv.VideoCaptureDevice(cameraId);
if err != nil {
fmt.Println(err);
os.Exit(1);
}
defer cam.Close();
img := gocv.NewMat();
defer img.Close();
classifier := gocv.NewCascadeClassifier();
defer classifier.Close();
if !classifier.Load(classifierFile) {
fmt.Println("Error loading classifier File :" , classifierFile);
}
for i := 0;i < 4;i++{
if !cam.Read(&img) {
fmt.Println("error reading image from webcam");
}
if img.Empty() {
continue;
}
rects := classifier.DetectMultiScale(img);
numPeople = len(rects);
}
return numPeople;
}
func DetectPeopleTimeout(cameraId int , classifierFile string , timeLimit int) (numPeople int){
cam , err := gocv.VideoCaptureDevice(cameraId);
if err != nil {
fmt.Println(err);
os.Exit(1);
}
defer cam.Close();
img := gocv.NewMat();
defer img.Close();
classifier := gocv.NewCascadeClassifier();
defer classifier.Close();
if !classifier.Load(classifierFile) {
fmt.Println("Error loading classifier File :" , classifierFile);
}
for timeout := time.After(time.Duration(timeLimit) * time.Second); ;{
if !cam.Read(&img) {
fmt.Println("error reading image from webcam");
}
if img.Empty() {
continue;
}
rects := classifier.DetectMultiScale(img);
numPeople = len(rects);
select{
case <-timeout:
return numPeople;
default:
}
}
}