有什么方法可以扩展RAM吗?
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OpenMV 帧缓冲堆栈内存不足。
OpenMV 进行颜色跟图像同时识别的时候我把图像格式QQVGA改成QVGA后,运行错错误显示堆栈内存不足,除了降低分辨率的话有其他办法吗,降低分辨率的话图像效果特别模糊根本看不清楚啊。
import sensor, image, time sensor.reset() sensor.set_pixformat(sensor.RGB565) sensor.set_framesize(sensor.QVGA) sensor.skip_frames(time = 2000) sensor.set_auto_gain(False) # must be turned off for color tracking sensor.set_auto_whitebal(False) # must be turned off for color tracking clock = time.clock() while(True): clock.tick() #img = sensor.snapshot() img = sensor.snapshot().lens_corr(strength = 1.8, zoom = 1.0) #img = sensor.snapshot().lens_corr(1.8) for c in img.find_circles(threshold = 3500, x_margin = 10, y_margin = 10, r_margin = 10, r_min = 10, r_max = 50, r_step = 2): area = (c.x()-c.r(), c.y()-c.r(), 2*c.r(), 2*c.r()) #area为识别到的圆的区域,即圆的外接矩形框 statistics = img.get_statistics(roi=area)#像素颜色统计 print(statistics) #(0,100,0,120,0,120)是红色的阈值,所以当区域内的众数(也就是最多的颜色),范围在这个阈值内,就说明是红色的圆。 #l_mode(),a_mode(),b_mode()是L通道,A通道,B通道的众数。 if 0<statistics.l_mode()<100 and 0<statistics.a_mode()<127 and 0<statistics.b_mode()<127:#if the circle is red img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0))#识别到的红色圆形用红色的圆框出来 else: img.draw_rectangle(area, color = (255, 255, 255)) #将非红色的圆用白色的矩形框出来 #print("FPS %f" % clock.fps())