神经网络识别物体打包成程序后二次调用出现问题
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第二次调用这个函数就出现这个错误,但是如果把相同程序改个名,只能分开调用,执行两次相同的还是会出现问题。def garbage_type(): 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() garbage=6 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): img.draw_rectangle(obj.rect()) predictions_list = list(zip(labels, obj.output())) #print(predictions_list) #[('A4', 0.0), ('Dianchi', 0.0), ('Ganjupi', 0.0), ('Pingzi', 1.0), ('Zhibei', 0.0)] #print(obj.output().index(max(obj.output()))) #l=[3,2,1,0,4,5];print l.index(max(l)) 返回list最大值位置 print(max(obj.output())) if(max(obj.output())<0.8): garbage=5 else: garbage=obj.output().index(max(obj.output())) print(garbage) if(garbage<=5): break return garbage
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你这代码不对啊,怎么把死循环放到函数里面了?