系统迁移中,暂时无法访问,所有数据会迁移到新的网站。
OpenMV VSCode 扩展发布了,在插件市场直接搜索OpenMV就可以安装
如果有产品硬件故障问题,比如无法开机,论坛很难解决。可以直接找售后维修。
发帖子之前,请确认看过所有的视频教程,https://singtown.com/learn/ 和所有的上手教程http://book.openmv.cc/
每一个新的提问,单独发一个新帖子
帖子需要目的,你要做什么?
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必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
怎么使用“threshold.value()”拿出阈值.
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利用“histogram.get_threshold()”得到最佳阈值后,想使用“threshold.value()”拿出阈值,失败了..
THRESHOLD = [0, 100] # Grayscale threshold for dark things... BINARY_VISIBLE = True # Does binary first so you can see what the linear regression # is being run on... might lower FPS though. import sensor, image, time from pyb import LED sensor.reset() sensor.set_pixformat(sensor.GRAYSCALE) sensor.set_framesize(sensor.QQQVGA) # 80x60 (4,800 pixels) - O(N^2) max = 2,3040,000. sensor.skip_frames(time = 2000) # WARNING: If you use QQVGA it may take seconds clock = time.clock() # to process a frame sometimes. LED(1).on() LED(2).on() LED(3).on() while(True): clock.tick() img = sensor.snapshot().lens_corr(strength = 0.5, zoom = 1.0) img.gaussian(3, unsharp=True) histogram = img.get_histogram()#得到直方图 Thresholds = histogram.get_threshold()#得到最佳阈值 THR=threshold.value()#获取当前阈值 #img.binary([THRESHOLD])if BINARY_VISIBLE else sensor.snapshot() line = img.get_regression([(255,255) if BINARY_VISIBLE else THRESHOLD], robust = True) if (line): img.draw_line(line.line(), color = 127)
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