MemoryError: Out of fast Frame Buffer Stack Memory

[5tfm]

有没有兄弟知道这个怎么解决？

[kidswong999]

神经网络只能在OpenMV4 Plus上运行的，
因为OpenMV4 的Ram不够，所以内存爆了。

[5tfm]

我是openmv4plus啊怎么说，我也插了sd卡，是不是我训练的时候导入太多照片了，800张

[kidswong999]

@5tfm 如果涉及代码，需要报错提示与全部代码文本，请注意不要贴代码图片

[5tfm]

麻烦帮我看看

[5tfm]

Edge Impulse - OpenMV Image Classification Example

import sensor, image, time, os, tf

sensor.reset() # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)
sensor.set_windowing((240, 240)) # Set 240x240 window.
sensor.skip_frames(time=2000) # Let the camera adjust.

net = "trained.tflite"
labels = [line.rstrip('\n') for line in open("labels.txt")]

clock = time.clock()
while(True):
clock.tick()

img = sensor.snapshot()

# default settings just do one detection... change them to search the image...
for obj in tf.classify(net, img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
    print("**********\nPredictions at [x=%d,y=%d,w=%d,h=%d]" % obj.rect())
    img.draw_rectangle(obj.rect())
    # This combines the labels and confidence values into a list of tuples
    predictions_list = list(zip(labels, obj.output()))

    for i in range(len(predictions_list)):
        print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))

print(clock.fps(), "fps")

[5tfm]

MemoryError: Out of fast Frame Buffer Stack Memory! Please reduce the resolution of the image you are running this algorithm on to bypass this issue!

[kidswong999]

你的板子不是OpenMV 4 Plus，是OpenMV4

[5tfm]

ov7725不也是plus吗

[kidswong999]

https://singtown.com/product/50302/openmv-cam-h7/

https://singtown.com/product/50812/openmv4-h7-plus/

看看就知道了。

[5tfm]

有没有什么办法能让4也能用？