我正在使用Tensorflow的对象检测API解决对象检测问题，特别是facessd在开放图像数据集上训练的模型。任何人都可以澄清
anchor_strides must be a list with the same length as self.box_specs
手段？我正在查看源代码，但是找不到在哪里self._box_specs定义。我假设这是在推断过程中最终绘制的边界框。我尝试调整图像的大小，但没有任何改变。
每次运行模型时，都会出现以下错误和回溯：
Traceback (most recent call last):
File "object_detection/model_main.py", line 109, in <module>
tf.app.run()
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "object_detection/model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/training.py", line 471, in train_and_evaluate
return executor.run()
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/training.py", line 610, in run
return self.run_local()
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/training.py", line 711, in run_local
saving_listeners=saving_listeners)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 354, in train
loss = self._train_model(input_fn, hooks, saving_listeners) …