Update flask

 [verification_server]
 model=models/20200816-080621
-threshold=0.8
+threshold=0.75
 image_size=160

@@ -31,8 +31,9 @@ function activate()
 
 function detect_face()
 {
-	alert(tempImage)
 	let canvas = document.createElement('canvas');
+	canvas.width = tempImage.width;
+	canvas.height = tempImage.height;
 	let ctx = canvas.getContext('2d')
 	ctx.drawImage(tempImage, 0, 0);
 	let src = cv.imread(canvas);
@@ -41,7 +42,6 @@ function detect_face()
 	let faces = new cv.RectVector();
 	let classifier = new cv.CascadeClassifier();
 	classifier.load('haarcascade_frontalface_default.xml');
-	
 	src.copyTo(dst);
 	cv.cvtColor(dst, gray, cv.COLOR_RGBA2GRAY, 0);
 	let msize = new cv.Size(120, 120);
@@ -102,7 +102,10 @@ var loadFile = function(event) {
     reader.readAsDataURL(event.target.files[0]);
     reader.onload = function() {
 		tempImage.src = reader.result;
+	        tempImage.onload = function()
+	        {
 		    detect_face();
+	        }
     };
   };
 </script>
@@ -120,13 +123,13 @@ and is wrapped around the whole page content, except for the footer in this exam
 		<div class="w3-row", style='text-align:center'>
 			<h2><b>얼굴 파일을 등록해주세요 (jpeg only)</b></h2>
 			<div>
-				학번: <input type="text" name="student_id"><br>
-				이름: <input type="text" name="student_name"><br><br>
+				학번: <input type="text" id="student_id"><br>
+				이름: <input type="text" id="student_name"><br><br>
 				<input type="file" id="fileloader" name="file" onchange="loadFile(event)" autocomplete="off" accept="image/jpeg" required disabled>
 				<div>
 					<canvas id="preview"></canvas>
 				</div>
-				<input id="sender" type="button" onclick="submit" value="등록" disabled>
+				<input id="sender" type="button" onclick="submit()" value="등록" disabled>
 			</div>
 		</div>
 	</div>