@kidswong999 重新插拔就好了。离谱
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pg1t
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RE: 出现这个问题怎么解决:RuntimeError: Frame capture has timed out
@kidswong999 我现在运行啥都是runtime error了 hello world也是。。。摄像头就是你说的那个
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RE: 出现这个问题怎么解决:RuntimeError: Frame capture has timed out
@kidswong999 改了3.9.1版本又变成了RuntimeError: Capture Failed: -4
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RE: 出现这个问题怎么解决:RuntimeError: Frame capture has timed out
@kidswong999 hello world没问题 4.1.1
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RE: 出现这个问题怎么解决:RuntimeError: Frame capture has timed out
# 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")
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出现这个问题怎么解决:RuntimeError: Frame capture has timed out
出现这个问题怎么解决:RuntimeError: Frame capture has timed out.我是mv4 plus 运行的edgeimpulse的代码。