How to use the airtest.aircv function in airtest

def screenshot(self, file_path=None):
        if file_path:
            self.save_screenshot(file_path)
        else:
            file_path = os.path.join(ST.LOG_DIR, "temp.jpg")
            self.save_screenshot(file_path)
            screen = aircv.imread(file_path)
            return screen

# save last res for portrait
        if self.orientation in [LANDSCAPE, LANDSCAPE_RIGHT]:
            self._size['height'] = w
            self._size['width'] = h
        else:
            self._size['height'] = h
            self._size['width'] = w

        winw, winh = self.window_size()

        self._touch_factor = float(winh) / float(h)

        # save as file if needed
        if filename:
            aircv.imwrite(filename, screen)

        return screen

Save screenshot to file

    Args:
        screen: screenshot to be saved

    Returns:
        None

    """
    if not ST.LOG_DIR:
        return
    if screen is None:
        screen = G.DEVICE.snapshot()
    filename = "%(time)d.jpg" % {'time': time.time() * 1000}
    filepath = os.path.join(ST.LOG_DIR, filename)
    aircv.imwrite(filepath, screen)
    return filename

Save screenshot to file

    Args:
        screen: screenshot to be saved

    Returns:
        None

    """
    if not ST.LOG_DIR:
        return
    if screen is None:
        screen = G.DEVICE.snapshot()
    filename = "%(time)d.jpg" % {'time': time.time() * 1000}
    filepath = os.path.join(ST.LOG_DIR, filename)
    aircv.imwrite(filepath, screen)
    return filename

Returns:
            display the screenshot

        """
        if self.handle:
            screen = screenshot(filename, self.handle)
        else:
            screen = screenshot(filename)
            if self.app:
                rect = self.get_rect()
                screen = aircv.crop_image(screen, [rect.left, rect.top, rect.right, rect.bottom])
        if not screen.any():
            if self.app:
                rect = self.get_rect()
                screen = aircv.crop_image(screenshot(filename), [rect.left, rect.top, rect.right, rect.bottom])
        if self._focus_rect != (0, 0, 0, 0):
            height, width = screen.shape[:2]
            rect = (self._focus_rect[0], self._focus_rect[1], width + self._focus_rect[2], height + self._focus_rect[3])
            screen = aircv.crop_image(screen, rect)
        if filename:
            aircv.imwrite(filename, screen)
        return screen

def _try_match(func, *args, **kwargs):
        G.LOGGING.debug("try match with %s" % func.__name__)
        try:
            ret = func(*args, **kwargs).find_best_result()
        except aircv.NoModuleError as err:
            G.LOGGING.debug("'surf'/'sift'/'brief' is in opencv-contrib module. You can use 'tpl'/'kaze'/'brisk'/'akaze'/'orb' in CVSTRATEGY, or reinstall opencv with the contrib module.")
            return None
        except aircv.BaseError as err:
            G.LOGGING.debug(repr(err))
            return None
        else:
            return ret

def _find_keypoint_result_in_predict_area(self, func, image, screen):
        if not self.record_pos:
            return None
        # calc predict area in screen
        image_wh, screen_resolution = aircv.get_resolution(image), aircv.get_resolution(screen)
        xmin, ymin, xmax, ymax = Predictor.get_predict_area(self.record_pos, image_wh, self.resolution, screen_resolution)
        # crop predict image from screen
        predict_area = aircv.crop_image(screen, (xmin, ymin, xmax, ymax))
        if not predict_area.any():
            return None
        # keypoint matching in predicted area:
        ret_in_area = func(image, predict_area, threshold=self.threshold, rgb=self.rgb)
        # calc cv ret if found
        if not ret_in_area:
            return None
        ret = deepcopy(ret_in_area)
        if "rectangle" in ret:
            for idx, item in enumerate(ret["rectangle"]):
                ret["rectangle"][idx] = (item[0] + xmin, item[1] + ymin)
        ret["result"] = (ret_in_area["result"][0] + xmin, ret_in_area["result"][1] + ymin)
        return ret

def _try_match(func, *args, **kwargs):
        G.LOGGING.debug("try match with %s" % func.__name__)
        try:
            ret = func(*args, **kwargs).find_best_result()
        except aircv.NoModuleError as err:
            G.LOGGING.debug("'surf'/'sift'/'brief' is in opencv-contrib module. You can use 'tpl'/'kaze'/'brisk'/'akaze'/'orb' in CVSTRATEGY, or reinstall opencv with the contrib module.")
            return None
        except aircv.BaseError as err:
            G.LOGGING.debug(repr(err))
            return None
        else:
            return ret

def Record(self, bbox):
	import time
	import airtest.core.win.screen as screen
	threading.current_thread.name = 'recording'
	while True:
		if not self.m_bRecording:
			break
		self.m_Lock.acquire()
		print('Recording...', (bbox[2] - bbox[0], bbox[3] - bbox[1]))
		try:
			im = aircv.crop_image(screen.screenshot(None), bbox)
			self.video.write(numpy.array(im))  # 将img convert ndarray
		except:
			pass
		self.m_Lock.release()
		time.sleep(INTERVAL)