Modify client GUI

@@ -5,6 +5,7 @@
 import tkinter as tk
 import tkinter.font
 import tkinter.messagebox
+import tkinter.scrolledtext
 import threading
 import torch
 import numpy as np
@@ -48,9 +49,17 @@ class Client(tk.Frame):
         self.cap.set(3, self.cam_width)
         self.cap.set(4, self.cam_height)
 
+        # Application Function
+        
+        # cam에서 MTCNN 적용하는 영역
+        self.detecting_square = (200, 200)
+
+        # 영상 위에 사각형 색상 지정
+        self.rectangle_color = (0, 0, 255)
+        
         # tkinter GUI
         self.width = 740
-        self.height = 640
+        self.height = 700
         self.parent = parent
         self.parent.title("출석시스템")
         self.parent.geometry("%dx%d+100+100" % (self.width, self.height))
@@ -74,12 +83,18 @@ class Client(tk.Frame):
         self.label = tk.Label(self, image=image)
         self.label.grid(row=1, column=0, columnspan=20)
 
-        self.log = tk.Text(self)
+        self.log = tk.scrolledtext.ScrolledText(self, wrap = tk.WORD, state=tk.DISABLED, width = 96, height = 10)
         self.log.grid(row=2, column=0, columnspan=20)
 
         
         self.quit = tk.Button(self, text="나가기", fg="red", command=self.stop)
-        self.quit.grid(row=5, column=10)
+        self.quit.grid(row=3, column=10)
+
+    def logging(self, text):
+        self.log.config(state=tk.NORMAL)
+        self.log.insert(tkinter.CURRENT, text)
+        self.log.insert(tkinter.CURRENT, '\n')
+        self.log.config(state=tk.DISABLED)
         
     
     def detect_face(self, frame):
@@ -97,8 +112,6 @@ class Client(tk.Frame):
             x1, y1, x2, y2 = box
             if (x2-x1) * (y2-y1) < 15000:
                 # 얼굴 해상도가 너무 낮으면 무시
-                self.alert.config(text= "카메라에 더 가까이 접근해주세요.", fg="red")
-                self.alert.update()
                 continue
             image = frame
             image_list.append(image)
@@ -109,23 +122,34 @@ class Client(tk.Frame):
     def mainthread(self):
         t = threading.currentThread()
         asyncio.set_event_loop(self.event_loop)
+        x1 = int(self.cam_width / 2 - self.detecting_square[0] / 2)
+        x2 = int(self.cam_width / 2 + self.detecting_square[0] / 2)
+        y1 = int(self.cam_height / 2 - self.detecting_square[1] / 2)
+        y2 = int(self.cam_height / 2 + self.detecting_square[1] / 2)
         while getattr(t, "do_run", True):
             ret, frame = self.cap.read()
-
             # model에 이용하기 위해 convert
             converted = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-            face_list, image_list = self.detect_face(converted)
+            face_list, image_list = self.detect_face(converted[y1:y2, x1:x2])
+            
+            # 얼굴이 인식되면 출석요청
+            self.event_loop.run_until_complete(self.send_face(face_list, image_list))
             
             # show image
+            frame = cv2.rectangle(frame, (x1, y1), (x2, y2), self.rectangle_color, 3)
+            converted = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            # 거울상으로 보여준다
+            converted = cv2.flip(converted,1)
             image = Image.fromarray(converted)
             image = ImageTk.PhotoImage(image)
             self.label.configure(image=image)
             self.label.image = image # kind of double buffering
 
-            # 얼굴이 인식되면 요청
-            if face_list:
-                self.event_loop.run_until_complete(self.send_face(face_list, image_list))
-
+    @asyncio.coroutine
+    def set_rectangle(self):
+        self.rectangle_color = (255, 0, 0)
+        yield from asyncio.sleep(1)
+        self.rectangle_color = (0, 0, 255)
     
     async def wait(self, n):
         await asyncio.sleep(n)
@@ -141,16 +165,16 @@ class Client(tk.Frame):
                     data = json.loads(recv)
                     if data['status'] == 'success':
                         # 성공
-                        self.log.insert(tkinter.CURRENT, data['student_id'] + 'is attend')
-                        self.log.insert(tkinter.CURRENT, '\n')
+                        self.logging('출석확인: ' + data['student_id'])
+                        asyncio.ensure_future(self.set_rectangle())
                     else:
-                        self.log.insert(tkinter.CURRENT, 'verification failed:' + data['status'])
-                        self.log.insert(tkinter.CURRENT, '\n')
                         if data['status'] == 'failed':
                             send = json.dumps({'action': 'save_image', 'image': image.tolist()})
+                            await websocket.send(send)
+                        elif data['status'] == 'already':
+                            asyncio.ensure_future(self.set_rectangle())
         except Exception as e:
-            self.log.insert(tkinter.CURRENT, e)
-            self.log.insert(tkinter.CURRENT, '\n')
+            self.logging(e)
 
     def stop(self):
         self.thread.do_run = False

@@ -164,6 +164,8 @@ class Register(tk.Frame):
 
             # show image
             converted = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            # 유저에게 보여줄 땐 거울상으로 보여준다
+            converted = cv2.flip(converted,1)
             image = Image.fromarray(converted)
             image = ImageTk.PhotoImage(image)
             self.label.configure(image=image)

@@ -51,18 +51,18 @@ async def register(websocket):
     global clients
     async with lock:
         clients.add(websocket)
-        remote_ip = websocket.remote_address[0]
-        msg='[{ip}] connected'.format(ip=remote_ip)
-        print(msg)
+        #remote_ip = websocket.remote_address[0]
+        #msg='[{ip}] connected'.format(ip=remote_ip)
+        #print(msg)
 
 async def unregister(websocket):
     global lock
     global clients
     async with lock:
         clients.remove(websocket)
-        remote_ip = websocket.remote_address[0]
-        msg='[{ip}] disconnected'.format(ip=remote_ip)
-        print(msg)
+        #remote_ip = websocket.remote_address[0]
+        #msg='[{ip}] disconnected'.format(ip=remote_ip)
+        #print(msg)
 
 async def thread(websocket, path):
     await register(websocket)