程序总是报错Out of fast frame buffer stack memory

程序如下，不知道为什么一运行就报错，内存超了，可以怎么修改呀在保留原本功能的情况下
固件版本 0.4.0

import os, time, gc
from media.sensor import *
from media.display import *
from media.media import *
from machine import TOUCH
from Mylib.key import KeyButton



WIDTH, HEIGHT = 800, 480  # 保持原分辨率

key = KeyButton()

roi1 = (200, 120, 450, 250)  # 保持原ROI

threshold = [15, 228]  # 保持原阈值
black_threshold = [threshold]


sensor = Sensor()
sensor.reset()
sensor.set_framesize(chn=CAM_CHN_ID_0, width=WIDTH, height=HEIGHT)
sensor.set_pixformat(Sensor.RGB565, chn=CAM_CHN_ID_0)
sensor.set_framesize(chn=CAM_CHN_ID_1, width=WIDTH, height=HEIGHT)
sensor.set_pixformat(Sensor.RGB565, chn=CAM_CHN_ID_1)


Display.init(Display.ST7701, width=WIDTH, height=HEIGHT, to_ide=True)
MediaManager.init()
sensor.run()


tp = TOUCH(0)


status_text = ""
exit_text = "按按键退出"

try:
    while True:
        os.exitpoint()
        gc.collect()
        
        # 检查退出条件
        if key.is_rising_edge():
            print("退出黑色胶带检测")
            break
        
        # 通道1用于识别处理
        img_roi = sensor.snapshot(chn=CAM_CHN_ID_1)
        img_roi.to_grayscale(inplace=True)
        
        # 通道0用于显示
        display_img = sensor.snapshot(chn=CAM_CHN_ID_0)
        
        # 图像处理（使用原地操作）
        img_roi.binary(black_threshold, inplace=True)
        img_roi.dilate(1, inplace=True)
        img_roi.erode(1, inplace=True)
        
        # 检测外轮廓矩形
        outer_rects = []
        if roi1 is not None and isinstance(roi1, (tuple, list)) and len(roi1) == 4:
            outer_rects = img_roi.find_rects(roi=roi1)
        else:
            outer_rects = img_roi.find_rects()
        
        outer_rect = None
        inner_rect = None
        
        if outer_rects:
            # 筛选最大的外矩形
            outer_rect = max(outer_rects, key=lambda r: r.w() * r.h())
            x, y, w, h = outer_rect.rect()
            display_img.draw_rectangle(x, y, w, h, color=(255, 0, 0), thickness=2)
            
            # 尝试检测内部矩形
            padding = 3
            min_x, max_x = x + padding, x + w - padding
            min_y, max_y = y + padding, y + h - padding
            
            if min_x < max_x and min_y < max_y:
                inner_rects = img_roi.find_rects(roi=(min_x, min_y, max_x - min_x, max_y - min_y))
                
                if inner_rects:
                    # 筛选最大的内矩形
                    inner_rect = max(inner_rects, key=lambda r: r.w() * r.h())
                    ix, iy, iw, ih = inner_rect.rect()
                    display_img.draw_rectangle(ix, iy, iw, ih, color=(0, 0, 255), thickness=2)
        
        # 更新状态文本
        if outer_rect and inner_rect:
            status_text = "胶带检测中: 已识别内外矩形"
            status_color = (0, 255, 0)
        elif outer_rect:
            status_text = "胶带检测中: 仅识别外矩形"
            status_color = (255, 255, 0)
        else:
            status_text = "胶带检测中: 未识别"
            status_color = (255, 0, 0)
        
        # 绘制状态信息
        display_img.draw_string_advanced(10, 10, 20, status_text, status_color)
        
        # 绘制退出提示
        display_img.draw_string_advanced(WIDTH - 200, HEIGHT - 30, 18, exit_text, (255, 255, 255))
        
        # 显示图像
        Display.show_image(display_img)
        del display_img
        del img_roi
        gc.collect()
        time.sleep_ms(50)

except KeyboardInterrupt:
    print("程序被用户中断")
except BaseException as e:
    print(f"[ERROR] 出现异常: {e}")
finally:
    # 释放资源
    try:
        sensor.stop()
        Display.deinit()
        MediaManager.deinit()
    except:
        pass
    gc.collect()
    print("资源已释放")