完整情况为插入USB线闪绿灯闪蓝灯连接不亮开始跑例子闪绿灯断开闪蓝灯求求大佬们现在真的很急

xms1

# This work is licensed under the MIT license.
# Copyright (c) 2013-2023 OpenMV LLC. All rights reserved.
# https://github.com/openmv/openmv/blob/master/LICENSE
#
# Find Rects Example
#
# This example shows off how to find rectangles in the image using the quad threshold
# detection code from our April Tags code. The quad threshold detection algorithm
# detects rectangles in an extremely robust way and is much better than Hough
# Transform based methods. For example, it can still detect rectangles even when lens
# distortion causes those rectangles to look bent. Rounded rectangles are no problem!
# (But, given this the code will also detect small radius circles too)...

import sensor
import time

sensor.reset()
sensor.set_pixformat(sensor.RGB565)  # grayscale is faster (160x120 max on OpenMV-M7)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time=2000)
clock = time.clock()

while True:
    clock.tick()
    img = sensor.snapshot()

    # `threshold` below should be set to a high enough value to filter out noise
    # rectangles detected in the image which have low edge magnitudes. Rectangles
    # have larger edge magnitudes the larger and more contrasty they are...

    for r in img.find_rects(threshold=10000):
        img.draw_rectangle(r.rect(), color=(255, 0, 0))
        for p in r.corners():
            img.draw_circle(p[0], p[1], 5, color=(0, 255, 0))
        print(r)

    print("FPS %f" % clock.fps())
![0_1753865002445_f80c9b7d5d5f5a7c79c6936a36972db0.png](https://fcdn.singtown.com/6deae4b7-2983-4d55-a411-4c8db9a0a1be.png)

uzbd

OpenMV更新到最新固件，更新固件后重试。
如果不行的话可以尝试使用DFU方法烧录固件：https://singtown.com/cn/learn/50903

xms1

下单了一个新的，谢谢官方您的回应我的·问题，我看升级固件的视频是很早之前的了，打开现在的固件升级DFU非常迷茫，不会使用，我的H7 PLUS 可以跑其他例子，但对于识别矩形的例子无法跑，怀疑是其他问题，固件通过常规升级到最新版本了已经，但仍然无法使用，可以再教教我。QQ：783885191

完整情况为 插入USB线 闪绿灯 闪蓝灯 连接 不亮 开始跑例子 闪绿灯 断开 闪蓝灯 求求大佬们 现在真的很急

完整情况为插入USB线闪绿灯闪蓝灯连接不亮开始跑例子闪绿灯断开闪蓝灯求求大佬们现在真的很急