重现步骤

import sensor, image, time, lcd
from maix import KPU, utils
import gc

lcd.init()
sensor.reset() # Reset and initialize the sensor. It will
# run automatically, call sensor.run(0) to stop
sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)
sensor.skip_frames(time = 1000) # Wait for settings take effect.
#sensor.set_hmirror(1)
#sensor.set_vflip(1)
clock = time.clock() # Create a clock object to track the FPS.
image.font_load(image.UTF8, 16, 16, '/sd/zhongwen0xA00000.Dzk') # load chinese font file
#image.font_load(image.UTF8, 16, 16, 0xA00000)

province_cn = ("皖沪津渝冀晋蒙辽吉黑苏浙京闽赣鲁豫鄂湘粤桂琼川贵云藏陕甘青宁新")
ads = ('A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'J', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9')

anchor = (8.30891522166988, 2.75630994889035, 5.18609903718768, 1.7863757404970702, 6.91480529053198, 3.825771881004435, 10.218567655549439, 3.69476690620971, 6.4088204258368195, 2.38813526350986)
kpu = KPU()
kpu.load_kmodel("/sd/lp_detect.kmodel")
kpu.init_yolo2(anchor, anchor_num=5, img_w=320, img_h=240, net_w=320 , net_h=240 ,layer_w=20 ,layer_h=15, threshold=0.7, nms_value=0.3, classes=0)

lp_recog_kpu = KPU()
lp_recog_kpu.load_kmodel("/sd/lp_recog.kmodel")
lp_recog_kpu.lp_recog_load_weight_data(0x600000, 1498500) # load after-process data
#lp_recog_kpu.lp_recog_load_weight_data("/sd/lp_weight.bin") # load after-process data

RATIO = 0.16
def extend_box(x, y, w, h, scale):
x1_t = x - scalew
x2_t = x + w + scalew
y1_t = y - scaleh
y2_t = y + h + scaleh
x1 = int(x1_t) if x1_t>1 else 1
x2 = int(x2_t) if x2_t<320 else 319
y1 = int(y1_t) if y1_t>1 else 1
y2 = int(y2_t) if y2_t<256 else 255
cut_img_w = x2-x1+1
cut_img_h = y2-y1+1
return x1, y1, cut_img_w, cut_img_h

lp_index_list = []

while 1:
clock.tick() # Update the FPS clock.
img = sensor.snapshot()
kpu.run_with_output(img)
dect = kpu.regionlayer_yolo2()
fps = clock.fps()
if len(dect) > 0:
#print("dect:",dect)
for l in dect :
x1, y1, cut_img_w, cut_img_h= extend_box(l[0], l[1], l[2], l[3], scale=RATIO)
lp_cut = img.cut(x1, y1, cut_img_w, cut_img_h)
a=img.draw_rectangle(l[0],l[1],l[2],l[3], color=(255, 0, 0))
lp_resize = lp_cut.resize(208,64)
a=lp_resize.replace(vflip=0, hmirror=1)
lp_resize.pix_to_ai()
lp_recog_kpu.run_with_output(lp_resize)
out = lp_recog_kpu.lp_recog()
#print("out:",len(out))
lp_index_list.clear()
for n in out:
max_score = max(n)
index = n.index(max_score)
lp_index_list.append(index)
del (lp_cut)
del (lp_resize)
gc.collect() # 每次循环后回收内存
show_lp_str = "%s %s-%s%s%s%s%s" %(province_cn[lp_index_list[0]], ads[lp_index_list[1]], ads[lp_index_list[2]],
ads[lp_index_list[3]], ads[lp_index_list[4]], ads[lp_index_list[5]], ads[lp_index_list[6]])
print(show_lp_str)
a=img.draw_string(l[0], l[1]-18, show_lp_str, color=(255, 128, 0), scale=1)
#img.replace(vflip=0, hmirror=1)
a=img.draw_string(10, 0, "%2.1ffps" %(fps), color=(255, 255, 0), scale=1)
lcd.display(img)
# print("mem free:",gc.mem_free())
# print("heap free:",utils.heap_free())
gc.collect()

image.font_free()
kpu.deinit()
lp_recog_kpu.deinit()

期待结果和实际结果

预期结果：正常跑通不会报错
实际结果：Traceback (most recent call last):
File "", line 22, in
OSError: Failed to read file
软硬件版本信息

MicroPython v1.0.3-7-g984a896 on 2022-10-24; CanMV_Board with kendryte-k210

错误日志

尝试解决过程

读取模型文件
import gc
from maix import KPU
import os

释放内存

gc.collect()
print("可用内存:", gc.mem_free())

文件路径

file_path = '/sd/detect_5.kmodel'

检查文件

try:
stat = os.stat(file_path)
print("文件大小:", stat[6])
except Exception as e:
print("无法访问文件:", e)
raise

检查文件是否可读

try:
with open(file_path, "rb") as f:
data1 = f.read()
print("文件总字节数:", len(data1))
except Exception as e:
print("文件读取测试失败:", e)
raise

kpu = KPU()
kpu.deinit() # 释放可能的旧状态
try:
kpu.load_kmodel(file_path)
print("lp_detect.kmodel 加载成功")
except Exception as e:
print("加载失败:", e)
但是加载模型这一步报failed to read file
补充材料