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?
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
必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
为什么有线图传显示屏显示的画面会这么卡?帧缓冲区的画面都很流畅
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# Edge Impulse - OpenMV Image Classification Example import sensor, image, time, os, tf,tv sensor.reset() # Reset and initialize the sensor. sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE) sensor.set_framesize(sensor.SIF) # Set frame size to QVGA (320x240) #sensor.set_windowing((240, 240)) # Set 240x240 window. #sensor.skip_frames(time=2000) # Let the camera adjust. tv.init(triple_buffer=False) # Initialize the tv. tv.channel(8) # For wireless video transmitter shield 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])) tv.display(img) print(clock.fps(), "fps")
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tv.init(triple_buffer=False)
改成True
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还是卡顿,关闭有线图传后,ide画面才变流畅,
开有线图传画面就闪烁 卡顿这怎么办