I'm trying to run the mobilenet classifier script:
https://github.com/sipeed/MaixPy_scripts/tree/master/machine_vision/mobilenet_1000_class

The tutorial says we should use the minimum firmware:
https://cn.maixpy.sipeed.com/maixpy/en/course/ai/image/1000_type_classifier.html

So I compiled a minimum firmware with only support for video and k4. It ended up with 1.2Mb. I also change the gc heap size as the tutorial says. But when I run the script, it says it doesn't have enough memory.

E (2704939464) SYSCALL: Out of memory

The error happens before I feed the images the the kpu, in the line where I define the sensor.framesize

Is it even possible to run this script on the m5stickV?

import lcd, sensor
import KPU as kpu

def lcd_init():
lcd.init(type=3)
lcd.register(0x3A, 0x05)
lcd.register(0xB2, [0x05, 0x05, 0x00, 0x33, 0x33])
lcd.register(0xB7, 0x23)
lcd.register(0xBB, 0x22)
lcd.register(0xC0, 0x2C)
lcd.register(0xC2, 0x01)
lcd.register(0xC3, 0x13)
lcd.register(0xC4, 0x20)
lcd.register(0xC6, 0x0F)
lcd.register(0xD0, [0xA4, 0xA1])
lcd.register(0xD6, 0xA1)
lcd.register(0xE0, [0x23, 0x70, 0x06, 0x0C, 0x08, 0x09, 0x27, 0x2E, 0x34, 0x46, 0x37, 0x13, 0x13, 0x25, 0x2A])
lcd.register(0xE1,[0x70, 0x04, 0x08, 0x09, 0x07, 0x03, 0x2C, 0x42, 0x42, 0x38, 0x14, 0x14, 0x27, 0x2C])

task = kpu.load(0x300000)
f=open('/flash/labels.txt','r')
labels=f.readlines()
f.close()

print ('ok load kpu and labels')

lcd_init()
lcd.rotation(2) #Rotate the lcd 180deg

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
#sensor.set_framesize(sensor.B128X128)
sensor.run(1)
sensor.skip_frames()

print ('ok sensor')

while (True):

img = sensor.snapshot()
img.crop(x_size=224, y_size=224)

fmap = kpu.forward(task, img)
plist=fmap[:]
pmax=max(plist)
max_index=plist.index(pmax)

img = img.draw_string(0, 0, "%.2f: %s" %(pmax, labels[max_index].strip()), color=(255, 0, 0))
#lcd.display(img, oft=(0,0))
print(fps)