Update flask

@@ -11,6 +11,7 @@ import tensorflow as tf
 import base64
 import pymysql
 import configparser
+import uuid
 from PIL import Image
 
 config = configparser.ConfigParser()
@@ -74,8 +75,8 @@ def register():
     image = base64.b64decode(request.form['image'])
     image_np = np.frombuffer(image, dtype=np.uint8)
     image_np = cv2.imdecode(image_np, cv2.IMREAD_UNCHANGED)
-    image_np = resize(image_np)
     image_np = prewhiten(image_np)
+    image_np = resize(image_np)
     image_np = image_np.reshape(-1, image_size, image_size, 3)
     # get embedding
     feed_dict = {input_placeholder:image_np, phase_train_placeholder:False }
@@ -100,8 +101,8 @@ def verify():
     image = base64.b64decode(request.form['image'])
     image_np = np.frombuffer(image, dtype=np.uint8)
     image_np = cv2.imdecode(image_np, cv2.IMREAD_UNCHANGED)
-    image_np = resize(image_np)
     image_np = prewhiten(image_np)
+    image_np = resize(image_np)
     image_np = image_np.reshape(-1, image_size, image_size, 3)
     # get embedding
     feed_dict = {input_placeholder:image_np, phase_train_placeholder:False }

@@ -127,7 +127,7 @@ function processVideo() {
             let point2 = new cv.Point(face.x + face.width, face.y + face.height);
             cv.rectangle(dst, point1, point2, [255, 0, 0, 255], 8);
             let cropped = new cv.Mat();
-            let rect = new cv.Rect(Math.max(face.x-face.width/4, 0), Math.max(face.y-face.height/2, 0), Math.min(face.width+face.width/2, src.cols), Math.min(face.height*2, src.rows));
+            let rect = new cv.Rect(Math.max(face.x-22, 0), Math.max(face.y-44, 0), Math.min(face.width+44, src.cols), Math.min(face.height+66, src.rows));
             cropped = src.roi(rect);
             let tempCanvas = document.createElement("canvas");
             cv.imshow(tempCanvas,cropped);

@@ -61,7 +61,7 @@ function detect_face()
 		let point1 = new cv.Point(face.x, face.y);
 		let point2 = new cv.Point(face.x + face.width, face.y + face.height);
 		cv.rectangle(dst, point1, point2, [255, 0, 0, 255], 8);
-		let rect = new cv.Rect(Math.max(face.x-face.width/4, 0), Math.max(face.y-face.height/2, 0), Math.min(face.width+face.width/2, src.cols), Math.min(face.height*2, src.rows));
+		let rect = new cv.Rect(Math.max(face.x-22, 0), Math.max(face.y-44, 0), Math.min(face.width+44, src.cols), Math.min(face.height+66, src.rows));
         let cropped = src.roi(rect);
         cv.imshow(tempCanvas,cropped);
 	}