我也是这个问题，请问有解决吗？我更新了一下IDE，本来旧版本的IDE是有的。

@kidswong999 我的固件版本是最新的还是会报错唉

@oa3p 这是OpenMV内存里的文件

import sensor, image, time, pyb, math, os, ml, uos, gc
from pyb import UART
from machine import LED
from ulab import numpy as np

# 初始化传感器（保持代码一的设置）
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.set_windowing((240, 240))  # 适配FOMO模型输入
sensor.skip_frames(time=2000)

clock = time.clock()
led = LED("LED_BLUE")
uart = UART(3, 115200)

# 加载神经网络模型（来自代码一）
net = None
labels = None
min_confidence = 0.5

try:
    net = ml.Model("trained.tflite", load_to_fb=uos.stat('trained.tflite')[6] > (gc.mem_free() - (64*1024)))
except Exception as e:
    raise Exception('Failed to load model: ' + str(e))

try:
    labels = [line.rstrip('\n') for line in open("labels.txt")]
except Exception as e:
    raise Exception('Failed to load labels: ' + str(e))

# 颜色映射（根据labels.txt顺序）
colors = [ # Add more colors if you are detecting more than 7 types of classes at once.
    (  0,   0,   0),
    (255, 255, 255),
    (  0,   0, 255),
    (255,   0,   0),
    (255, 255,   0),
    (  0, 255, 255),
    (255, 255, 255),
]

threshold_list = [(math.ceil(min_confidence * 255), 255)]



###### 神经网络函数 ######
def fomo_post_process(model, inputs, outputs):
    ob, oh, ow, oc = model.output_shape[0]

    x_scale = inputs[0].roi[2] / ow
    y_scale = inputs[0].roi[3] / oh

    scale = min(x_scale, y_scale)

    x_offset = ((inputs[0].roi[2] - (ow * scale)) / 2) + inputs[0].roi[0]
    y_offset = ((inputs[0].roi[3] - (ow * scale)) / 2) + inputs[0].roi[1]

    l = [[] for i in range(oc)]

    for i in range(oc):
        img = image.Image(outputs[0][0, :, :, i] * 255)
        blobs = img.find_blobs(
            threshold_list, x_stride=1, y_stride=1, area_threshold=1, pixels_threshold=1
        )
        for b in blobs:
            rect = b.rect()
            x, y, w, h = rect
            score = (
                img.get_statistics(thresholds=threshold_list, roi=rect).l_mean() / 255.0
            )
            x = int((x * scale) + x_offset)
            y = int((y * scale) + y_offset)
            w = int(w * scale)![0_1742222457368_微信图片_20250317224009.png](https://fcdn.singtown.com/f1197d0e-202a-478a-99ce-67919113c2e2.png) 
            h = int(h * scale)
            l[i].append((x, y, w, h, score))
    return l

clock = time.clock()

Traceback (most recent call last):
File "", line 25, in
Exception: Failed to load model: Failed to allocate tensors
OpenMV v4.5.9; MicroPython v1.23.0-r19; OPENMV4P-STM32H743
Type "help()" for more information.