我正在使用 TensorFlow 1.15 并嘗試使用 TensorFlow 對象檢測 API 和我自己的數據集來微調 mobilenetSSDv2。我按照 tf repo here中所述的方式創建了我的 tf 記錄，并像這樣閱讀圖像with tf.gfile.GFile(folder_path+"temp.jpeg", 'rb') as fid:    encoded_image_data = fid.read()我已經根據需要將我的分數除以寬度和高度，然后我調整了配置以適應我的班級數量但是當我運行火車過程時我仍然遇到這個錯誤（我嘗試了很多東西都沒有成功）    ...        ...        tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node Dataset_map_transform_and_pad_input_data_fn_423}} assertion failed: [[0.576413691][0.335303724][0.766369045]...] [[0.155026451][0.439418][0.299206346]...]     [[{{node Assert/AssertGuard/Assert}}]]      [[IteratorGetNext]]        During handling of the above exception, another exception occurred:        Traceback (most recent call last):   File "./object_detection/model_main.py", line 108, in <module>        tf.app.run()   File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/platform/app.py", line 40, in run        _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)   File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/absl/app.py", line 299, in run        _run_main(main, args)   File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/absl/app.py", line 250, in _run_main        sys.exit(main(argv))   File "./object_detection/model_main.py", line 104, in main        tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])   File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate