openmv也重新格式化再拍过,也没有什么用
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6bf4 发布的帖子
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RE: OSError:A hard error occurred in the low level disk I/Olayer
@kidswong999 这个口罩代码单独用openmv的话是可以运行的,可是我还有其他代码和文件,所以会放在sd卡中储存,而如果把另外两个文件和代码放在sd中就会出现这种情况
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RE: OSError:A hard error occurred in the low level disk I/Olayer
知道了,是因为把这三个文件放在sd卡里运行,没有下到openmv,谢谢啦
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RE: OSError:A hard error occurred in the low level disk I/Olayer
for obj in tf.classify(net, img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):在这一行报错
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OSError:A hard error occurred in the low level disk I/Olayer
口罩识别报错
# Edge Impulse - OpenMV Image Classification Example import sensor, image, time, os, tf sensor.reset() # Reset and initialize the sensor. sensor.set_pixformat(sensor.GRAYSCALE) # 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")