<Tensorflow object detection>TypeError:resize_images（）获得意外的关键字参数“preserve_aspect_ratio”

Question

cuda 9.0
cudnn 7.5
python 3.5.2
tensorflow-gpu 1.8

我不知道错误发生在哪里，我也试过python3.6.3。此错误也会发生。请帮忙。在

我是训练模特_主.py文件，但我得到以下错误。在

^{pr2}$

它显示了以下内容：

WARNING:tensorflow:Forced number of epochs for all eval validations to be 1. WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered eval_on_train_input_config.num_epochs = 0. Overwriting num_epochs to 1. WARNING:tensorflow:Using temporary folder as model directory: C:\Users\wyh\AppData\Local\Temp\tmplh3q4jn2 WARNING:tensorflow:Estimator's model_fn (.model_fn at 0x00000256FF7F1400>) includes params argument, but params are not passed to Estimator. WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards. Traceback (most recent call last): File "model_main.py", line 109, in tf.app.run() File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run _sys.exit(main(argv)) File "model_main.py", line 105, in main tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0]) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\estimator\training.py", line 439, in train_and_evaluate executor.run() File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\estimator\training.py", line 518, in run self.run_local() File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\estimator\training.py", line 650, in run_local hooks=train_hooks) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\estimator\estimator.py", line 363, in train loss = self._train_model(input_fn, hooks, saving_listeners) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\estimator\estimator.py", line 843, in _train_model return self._train_model_default(input_fn, hooks, saving_listeners) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\estimator\estimator.py", line 853, in _train_model_default input_fn, model_fn_lib.ModeKeys.TRAIN)) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\estimator\estimator.py", line 691, in _get_features_and_labels_from_input_fn result = self._call_input_fn(input_fn, mode) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\estimator\estimator.py", line 798, in _call_input_fn return input_fn(**kwargs) File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\inputs.py", line 525, in _train_input_fn batch_size=params['batch_size'] if params else train_config.batch_size) File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\builders\dataset_builder.py", line 149, in build dataset = data_map_fn(process_fn, num_parallel_calls=num_parallel_calls) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 853, in map return ParallelMapDataset(self, map_func, num_parallel_calls) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 1870, in init super(ParallelMapDataset, self).init(input_dataset, map_func) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 1839, in init self._map_func.add_to_graph(ops.get_default_graph()) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\framework\function.py", line 484, in add_to_graph self._create_definition_if_needed() File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\framework\function.py", line 319, in _create_definition_if_needed self._create_definition_if_needed_impl() File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\framework\function.py", line 336, in _create_definition_if_needed_impl outputs = self._func(*inputs) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 1804, in tf_map_func ret = map_func(nested_args) File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\builders\dataset_builder.py", line 130, in process_fn processed_tensors = transform_input_data_fn(processed_tensors) File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\inputs.py", line 515, in transform_and_pad_input_data_fn tensor_dict=transform_data_fn(tensor_dict), File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\inputs.py", line 129, in transform_input_data tf.expand_dims(tf.to_float(image), axis=0)) File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py", line 543, in preprocess parallel_iterations=self._parallel_iterations) File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\utils\shape_utils.py", line 237, in static_or_dynamic_map_fn outputs = [fn(arg) for arg in tf.unstack(elems)] File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\utils\shape_utils.py", line 237, in outputs = [fn(arg) for arg in tf.unstack(elems)] File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\core\preprocessor.py", line 2264, in resize_to_range lambda: _resize_portrait_image(image)) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\util\deprecation.py", line 432, in new_func return func(*args, **kwargs) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\ops\control_flow_ops.py", line 2063, in cond orig_res_t, res_t = context_t.BuildCondBranch(true_fn) File "C:\Users\wyh\AppData\Local\conda\conda\envs\py352\lib\site-packages\tensorflow\python\ops\control_flow_ops.py", line 1913, in BuildCondBranch original_result = fn() File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\core\preprocessor.py", line 2263, in lambda: _resize_landscape_image(image), File "F:\cindy\cindybackup\tensorflow1\models\research\object_detection\core\preprocessor.py", line 2245, in _resize_landscape_image align_corners=align_corners, preserve_aspect_ratio=True) TypeError: resize_images() got an unexpected keyword argument 'preserve_aspect_ratio'

谢谢~

Answer 1

这个问题在张量流模型（https://github.com/tensorflow/models/）中还没有得到解决

我刚刚删除了object_detection/core中的preserve_aspect_比率/预处理器.py在

align_corners=align_corners, preserve_aspect_ratio=True)
align_corners=align_corners)