import pynput.keyboard as keyboard
# 监听键盘def listen_keybord():    listener = keyboard.Listener(on_press=onPressed, on_release=onRelease)    listener.start()

def onRelease(key):    try:        if '1' == key.char:            c_equipment.switch = 1 #主武器1        elif '2' == key.char:            c_equipment.switch = 2 #主武器2        elif '3' == key.char:            c_equipment.switch = 3 #手枪 switch=3的时候不压枪        elif '4' == key.char:            c_equipment.switch = 3 #刀具        elif '5' == key.char:            c_equipment.switch = 3 #手雷    except AttributeError:        if 'tab' == key.name:      #tab键异步操作检测            asyncHandle()        elif 'num_lock' == key.name:  #小键盘锁用来控制程序开关            changeOpen()        elif 'shift' == key.name:               c_contants.hold = False

import pyautogui
def adaptive_binarization(img):    #自适应二值化    maxval = 255    blockSize = 3    C = 5    img2 = cv2.adaptiveThreshold(img, maxval, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, blockSize, C)    return img2
# 屏幕截图def shotCut(x, y, w, h):    im = pyautogui.screenshot(region=[x, y, w, h])    screen = cv2.cvtColor(numpy.asarray(im), cv2.COLOR_BGR2GRAY)    temp = adaptive_binarization(screen)    return temp    def saveScreen():    screen1 = shotCut(1780, 125, 614, 570)    cv2.imwrite("./resource/shotcut/screen.bmp", screen1)

#读取之前的截屏screen = cv2.imread("./resource/shotcut/screen.bmp", 0)#裁剪出武器1名字screenWepon1 = screen[0:40, 45:125]#拿裁剪的图片和武器素材的目录作为入参，进行对比w1Name = compareAndGetName(screenWepon1, "./resource/guns/")

#对比图片获取名字def compareAndGetName(screenImg, dir):    #获取目录下所有文件    content = os.listdir(dir)    name = 'none'    max = 0    #遍历文件    for fileName in content:        #使用opencv读取文件        curWepone = cv2.imread(dir + fileName, 0)        #使用SSIM算法拿到图片相似度        res = calculate_ssim(numpy.asarray(screenImg), numpy.asarray(curWepone))        #获取相似度最大的        if max < res and res > 0.5:            max = res            name = str(fileName)[:-4]    return name

def calculate_ssim(img1, img2):    if not img1.shape == img2.shape:        raise ValueError('Input images must have the same dimensions.')    if img1.ndim == 2:        return ssim(img1, img2)    elif img1.ndim == 3:        if img1.shape[2] == 3:            ssims = []            for i in range(3):                ssims.append(ssim(img1, img2))            return numpy.array(ssims).mean()        elif img1.shape[2] == 1:            return ssim(numpy.squeeze(img1), numpy.squeeze(img2))    else:        raise ValueError('Wrong input image dimensions.')

def moveMouse():     #从识别的数据中，再更具当前选择的武器，获取此刻的武器（比如按下1键，武器装备栏1为m762，那么此时武器就是m762）    curWepone = getCurrentWepone()    if (curWepone.name == 'none'):        return    #基础y轴补偿（没任何配件）    basic = curWepone.basic    #射速    speed = curWepone.speed    startTime = round(time.perf_counter(), 3) * 1000    for i in range(curWepone.maxBullets):        #是否可以开火，比如左键抬起，就中断。        if not canFire():            break        #系数，比如按住shift屏息，就需要再原来基础上乘1.33        holdK = 1.0        if c_contants.hold:            holdK = curWepone.hold        #乘以系数后实际的移动距离        moveSum = int(round(basic[i] * curWepone.k * holdK, 2))        while True:            if (moveSum > 10):                #移动鼠标                pydirectinput.move(xOffset=0, yOffset=10, relative=True)                moveSum -= 10            elif (moveSum > 0):                pydirectinput.move(xOffset=0, yOffset=moveSum, relative=True)                moveSum = 0            elapsed = (round(time.perf_counter(), 3) * 1000 - startTime)            if not canFire() or elapsed > (i + 1) * speed + 10:                break            time.sleep(0.01)