為甚麼標題要加個驚嘆號嗎，這樣看起來蠻厲害的

好的最後就是辨識的方法

def cross_detect(self):
    # 搜尋所有可能的區域
    for p in self.position_list:
        # 擷取區域
        image = ImageGrab.grab(bbox = (p[0][0], p[0][1], p[1][0], p[1][1]))
        # image = self.img.crop((p[0][0], p[0][1], p[1][0], p[1][1]))

        # resize to 224, 224
        size = (224, 224)
        image = ImageOps.fit(image, size, Image.ANTIALIAS)

        # 轉換成np數組
        image_array = np.asarray(image)
        normalized_image_array = (image_array.astype(np.float32) / 127.0) - 1
        self.data[0] = normalized_image_array

        # 進行辨識
        prediction = self.model.predict(self.data)
        print(prediction)

        x, not_x, skip = prediction[0]
        if x > 0.8:
            print("x!")
        elif skip > 0.8:
            print("skip!")
        else:
            print('not x')

並且按下按鈕後觸發該方法

def handle_gui_msg(self, msg):
    global gui, cont
    if msg == 'set_range':
        cont.game_listen()

    elif msg == 'cross_detect':
        self.cross_detect()
        gui.cross_detect_finish()

呼叫gui

self.button_set_range = Button(text="set range", font=("Arial", 14, "bold"), padx=5, pady=5, bg="blue", fg="light green", command=self.set_range)
self.button_set_range.pack()
self.button_cross_detect = Button(text="cross detect", font=("Arial", 14, "bold"), padx=5, pady=5, bg="blue", fg="light green", command=self.cross_detect)
self.button_cross_detect.pack()

def cross_detect(self):
    self.q_gui_rsp.put("cross_detect")
    self.button_cross_detect['text'] = 'detecting'
    self.button_cross_detect['state'] = 'disable'

def cross_detect_finish(self):
    self.button_cross_detect['text'] = 'cross_detect'
    self.button_cross_detect['state'] = 'normal'

接下來就拿一個廣告測試看看吧

這絕對不是業配

辨識的結果如下

emm...竟然有三個位置信心度高於0.8
看起來應該是訓練的樣本數與模型不夠好，明天可能要再調一下模型