Change register method

@@ -39,9 +39,9 @@ function init()
                 load_cascade();
             });
         }).catch(function (err0r) {
-                console.log("Something went wrong!");
-                streaming = false;
-            });
+            console.log("Something went wrong!");
+            streaming = false;
+        });
     }
 }
 
@@ -63,7 +63,6 @@ function main()
     let canvasContext = canvasOutput.getContext('2d');
     let src = new cv.Mat(video.height, video.width, cv.CV_8UC4);
     let dst = new cv.Mat(video.height, video.width, cv.CV_8UC4);
-    // let gray = new cv.Mat();
     let cap = new cv.VideoCapture(video);
     let faces = new cv.RectVector();
     let classifier = new cv.CascadeClassifier();
@@ -105,7 +104,6 @@ function main()
                 // clean and stop.
                 src.delete();
                 dst.delete();
-                gray.delete();
                 faces.delete();
                 classifier.delete();
                 return;
@@ -115,7 +113,6 @@ function main()
             cap.read(src);
             cv.flip(src, src, 1);
             src.copyTo(dst);
-            // cv.cvtColor(dst, gray, cv.COLOR_RGBA2GRAY, 0);
             // detect faces.
             let msize = new cv.Size(video.width / 4, video.height / 4);
             classifier.detectMultiScale(dst, faces, 1.1, 3, 0, msize);

@@ -95,7 +95,6 @@ function main()
                 // clean and stop.
                 src.delete();
                 dst.delete();
-                gray.delete();
                 faces.delete();
                 classifier.delete();
                 return;
@@ -105,7 +104,6 @@ function main()
             cap.read(src);
             cv.flip(src, src, 1);
             src.copyTo(dst);
-            // cv.cvtColor(dst, gray, cv.COLOR_RGBA2GRAY, 0);
             // detect faces.
             let msize = new cv.Size(video.width / 4, video.height / 4);
             classifier.detectMultiScale(dst, faces, 1.1, 3, 0, msize);
@@ -125,6 +123,7 @@ function main()
                     // 1초동안 인식되면 사진 촬영 종료하고 등록 버튼 활성화
                     b64encoded = tempCanvas.toDataURL("image/jpeg", 1.0);
                     toggle_streaming();
+                    change_notice("촬영 완료! 정보를 등록해주세요");
                     activate_sender();
                 }
             }
@@ -150,13 +149,23 @@ function toggle_streaming()
 {
     streamButton = document.getElementById("streamButton");
     streaming = !streaming;
-    if (streaming)
+    if (streaming){
         streamButton.value = "촬영중지";
-    else
+        change_notice("1초 후 얼굴을 촬영합니다");
+    }
+    else{
         streamButton.value = "촬영시작";
+        change_notice("촬영이 중지되었습니다");
+    }
     main();
 }
 
+function change_notice(text)
+{
+    let notice = document.getElementById("notice");
+    notice.innerHTML = text;
+}
+
 function submit()
 {
     let student_id = document.getElementById('student_id').value;
@@ -191,7 +200,7 @@ and is wrapped around the whole page content, except for the footer in this exam
         </header>
 
         <div class="w3-row", style='text-align:center'>
-            <h2><b>얼굴을 등록해주세요 (jpeg only)</b></h2>
+            <h2 id="notice"><b>1초 후 얼굴을 촬영합니다</b></h2>
             <div id="container">
                 <video autoplay="true" id="videoInput" style="display: none; object-fit: cover;"></video>
                 <canvas id="canvasOutput"></canvas>