这个问题是我的缓冲区太小了吗，为什么加载不了神经网络的模型？怎么解决这个问题呢？

[aznd]

请在这里粘贴代码

Edge Impulse - OpenMV Object Detection Example

import sensor, image, time, os, tf, math, uos, gc

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 = None
labels = None
min_confidence = 0.5

try:
# load the model, alloc the model file on the heap if we have at least 64K free after loading
net = tf.load("trained.tflite", load_to_fb=uos.stat('trained.tflite')[6] > (gc.mem_free() - (64*1024)))
except Exception as e:
raise Exception('Failed to load "trained.tflite", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

try:
labels = [line.rstrip('\n') for line in open("labels.txt")]
except Exception as e:
raise Exception('Failed to load "labels.txt", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

colors = [ # Add more colors if you are detecting more than 7 types of classes at once.
(255, 0, 0),
( 0, 255, 0),
(255, 255, 0),
( 0, 0, 255),
(255, 0, 255),
( 0, 255, 255),
(255, 255, 255),
]

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

img = sensor.snapshot()

# detect() returns all objects found in the image (splitted out per class already)
# we skip class index 0, as that is the background, and then draw circles of the center
# of our objects

for i, detection_list in enumerate(net.detect(img, thresholds=[(math.ceil(min_confidence * 255), 255)])):
    if (i == 0): continue # background class
    if (len(detection_list) == 0): continue # no detections for this class?

    print("********** %s **********" % labels[i])
    for d in detection_list:
        [x, y, w, h] = d.rect()
        center_x = math.floor(x + (w / 2))
        center_y = math.floor(y + (h / 2))
        print('x %d\ty %d' % (center_x, center_y))
        img.draw_circle((center_x, center_y, 12), color=colors[i], thickness=2)

print(clock.fps(), "fps", end="\n\n")

请在这里粘贴代码

[kidswong999]

https://singtown.com/learn/50918/

对于OpenMV4 H7 使用小模型，看视频。

[aznd]

我是用的FOMO模型啊，而且图片都没够200张

[aznd]

@kidswong999 我是用的FOMO模型啊，而且图片都没够200张

[kidswong999]

看视频了吗？视频里说了。

[sxft]

@kidswong999 这个是怎么回事

[kidswong999]

@sxft 我都说了，如果是OpenMV4 H7，要用小模型。看视频，里面都有讲。