将这部分代码改为分步循环执行:for obj in tf.classify(net, img, roiL,min_scale=1, 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()) 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])) num1=ord(predictions_list[i][0])-48 if predictions_list[i][1]>0.7 and num1==num: uart.write('1') print('11') B0=1 C1=1 C0=0 roiR=(89,77,40,40) for obj in tf.classify(net, img, roiR,min_scale=1, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5): print("**********\nPredictions2 at [x=%d,y=%d,w=%d,h=%d]" % obj.rect()) img.draw_rectangle(obj.rect()) predictions_list2 = list(zip(labels, obj.output())) for p in range(len(predictions_list2)): print("%s = %f" % (predictions_list2[p][0], predictions_list2[p][1])) num2=ord(predictions_list2[p][0])-48 if predictions_list2[p][1]>0.7 and num2 == num: uart.write('2') print("22") B0=1 C1=1 C0=0

以下是将代码改为分步循环执行的示例：

# 第一个循环
for obj in tf.classify(net, img, roiL, min_scale=1, 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())
    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]))
        num1 = ord(predictions_list[i][0]) - 48
        if predictions_list[i][1] > 0.7 and num1 == num:
            uart.write('1')
            print('11')
            B0 = 1
            C1 = 1
            C0 = 0

# 第二个循环
roiR = (89, 77, 40, 40)
for obj in tf.classify(net, img, roiR, min_scale=1, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
    print("**********\nPredictions2 at [x=%d,y=%d,w=%d,h=%d]" % obj.rect())
    img.draw_rectangle(obj.rect())
    predictions_list2 = list(zip(labels, obj.output()))
    
    for p in range(len(predictions_list2)):
        print("%s = %f" % (predictions_list2[p][0], predictions_list2[p][1]))
        num2 = ord(predictions_list2[p][0]) - 48
        if predictions_list2[p][1] > 0.7 and num2 == num:
            uart.write('2')
            print("22")
            B0 = 1
            C1 = 1
            C0 = 0

这样，原来的代码被分成了两个循环，分别执行不同的操作。注意，我只是将代码进行了分块并进行了调整，具体的语义和逻辑仍然需要根据实际需求来确认。