@kidswong999 net = None labels = None try: # load the model, alloc the model file on the heap if we have at least 64K free after loading net = tf.load("trained.tflite", load_to_fb=uos.stat('trained.tflite')[6] > (gc.mem_free() - (64*1024))) except Exception as e: print(e) raise Exception('Failed to load "trained.tflite", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')') try: labels = [line.rstrip('\n') for line in open("labels.txt")] except Exception as e: raise Exception('Failed to load "labels.txt", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

@izgq 后续可以自己改

@kidswong999 训练出来的效果也不太行，在特定的情况还是会误判，我训练的数据 识别三的时候二和四都会出现

@kidswong999 就是那个矩形框是的代码是draw-rectangle（r），r是识别的数字模板，怎么返回识别到框出这个数字白框的四角坐标和中心坐标