python - 在 tensorlfow 对象检测 api 中导出推理图时出错

Question

嗨，我在做 tensorflow object detection api .我已经按照 repo 中的所有主要说明进行操作，直到现在它一直运行良好。但是突然开始出现一些奇怪的错误。我正在使用 fast rcnn之前和现在切换到 ssd mobile v2 coco .

使用命令生成推理图时

python export_inference_graph.py --input_type image_tensor --pipeline_config_path training/faster_rcnn_inception_v2_pets.config --trained_checkpoint_prefix training/model.ckpt-10250 --output_directory inference_graph

我收到以下错误:

Traceback (most recent call last): File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1356, in _do_call return fn(*args) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1341, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.NotFoundError: Key Conv/biases not found in checkpoint [[{{node save/RestoreV2}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1286, in restore {self.saver_def.filename_tensor_name: save_path}) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 950, in run run_metadata_ptr) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1173, in _run feed_dict_tensor, options, run_metadata) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1350, in _do_run run_metadata) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1370, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.NotFoundError: Key Conv/biases not found in checkpoint [[node save/RestoreV2 (defined at /home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py:331) ]]

Original stack trace for 'save/RestoreV2': File "export_inference_graph.py", line 162, in tf.app.run() File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/absl/app.py", line 299, in run _run_main(main, args) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/absl/app.py", line 250, in _run_main sys.exit(main(argv)) File "export_inference_graph.py", line 158, in main write_inference_graph=FLAGS.write_inference_graph) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py", line 497, in export_inference_graph write_inference_graph=write_inference_graph) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py", line 426, in _export_inference_graph trained_checkpoint_prefix=checkpoint_to_use) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py", line 331, in write_graph_and_checkpoint tf.import_graph_def(inference_graph_def, name='') File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 443, in import_graph_def _ProcessNewOps(graph) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 236, in _ProcessNewOps for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3751, in _add_new_tf_operations for c_op in c_api_util.new_tf_operations(self) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3751, in for c_op in c_api_util.new_tf_operations(self) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3641, in _create_op_from_tf_operation ret = Operation(c_op, self) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2005, in init self._traceback = tf_stack.extract_stack()

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1296, in restore names_to_keys = object_graph_key_mapping(save_path) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1614, in object_graph_key_mapping object_graph_string = reader.get_tensor(trackable.OBJECT_GRAPH_PROTO_KEY) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 678, in get_tensor return CheckpointReader_GetTensor(self, compat.as_bytes(tensor_str)) tensorflow.python.framework.errors_impl.NotFoundError: Key _CHECKPOINTABLE_OBJECT_GRAPH not found in checkpoint

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "export_inference_graph.py", line 162, in tf.app.run() File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/absl/app.py", line 299, in run _run_main(main, args) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/absl/app.py", line 250, in _run_main sys.exit(main(argv)) File "export_inference_graph.py", line 158, in main write_inference_graph=FLAGS.write_inference_graph) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py", line 497, in export_inference_graph write_inference_graph=write_inference_graph) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py", line 426, in _export_inference_graph trained_checkpoint_prefix=checkpoint_to_use) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py", line 335, in write_graph_and_checkpoint saver.restore(sess, trained_checkpoint_prefix) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1302, in restore err, "a Variable name or other graph key that is missing") tensorflow.python.framework.errors_impl.NotFoundError: Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Key Conv/biases not found in checkpoint [[node save/RestoreV2 (defined at /home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py:331) ]]

Original stack trace for 'save/RestoreV2': File "export_inference_graph.py", line 162, in tf.app.run() File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/absl/app.py", line 299, in run _run_main(main, args) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/absl/app.py", line 250, in _run_main sys.exit(main(argv)) File "export_inference_graph.py", line 158, in main write_inference_graph=FLAGS.write_inference_graph) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py", line 497, in export_inference_graph write_inference_graph=write_inference_graph) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py", line 426, in _export_inference_graph trained_checkpoint_prefix=checkpoint_to_use) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/object_detection/exporter.py", line 331, in write_graph_and_checkpoint tf.import_graph_def(inference_graph_def, name='') File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 443, in import_graph_def _ProcessNewOps(graph) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 236, in _ProcessNewOps for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3751, in _add_new_tf_operations for c_op in c_api_util.new_tf_operations(self) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3751, in for c_op in c_api_util.new_tf_operations(self) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3641, in _create_op_from_tf_operation ret = Operation(c_op, self) File "/home/user/anaconda3/envs/my_env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2005, in init self._traceback = tf_stack.extract_stack()

实际上，它一直在正常工作，无法弄清楚现在发生了什么。我也尝试过使用快速 rcnn(之前工作过)，但它也开始失败

这是配置文件。我目前正在为 2 个类(class)做这件事

# Faster R-CNN with Inception v2, configured for Oxford-IIIT Pets Dataset.
# Users should configure the fine_tune_checkpoint field in the train config as
# well as the label_map_path and input_path fields in the train_input_reader and
# eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find the fields that
# should be configured.

model {
  faster_rcnn {
    num_classes: 2
    image_resizer {
      keep_aspect_ratio_resizer {
        min_dimension: 600
        max_dimension: 1024
      }
    }
    feature_extractor {
      type: 'faster_rcnn_inception_v2'
      first_stage_features_stride: 16
    }
    first_stage_anchor_generator {
      grid_anchor_generator {
        scales: [0.25, 0.5, 1.0, 2.0]
        aspect_ratios: [0.5, 1.0, 2.0]
        height_stride: 16
        width_stride: 16
      }
    }
    first_stage_box_predictor_conv_hyperparams {
      op: CONV
      regularizer {
        l2_regularizer {
          weight: 0.0
        }
      }
      initializer {
        truncated_normal_initializer {
          stddev: 0.01
        }
      }
    }
    first_stage_nms_score_threshold: 0.0
    first_stage_nms_iou_threshold: 0.7
    first_stage_max_proposals: 300
    first_stage_localization_loss_weight: 2.0
    first_stage_objectness_loss_weight: 1.0
    initial_crop_size: 14
    maxpool_kernel_size: 2
    maxpool_stride: 2
    second_stage_box_predictor {
      mask_rcnn_box_predictor {
        use_dropout: false
        dropout_keep_probability: 1.0
        fc_hyperparams {
          op: FC
          regularizer {
            l2_regularizer {
              weight: 0.0
            }
          }
          initializer {
            variance_scaling_initializer {
              factor: 1.0
              uniform: true
              mode: FAN_AVG
            }
          }
        }
      }
    }
    second_stage_post_processing {
      batch_non_max_suppression {
        score_threshold: 0.0
        iou_threshold: 0.6
        max_detections_per_class: 100
        max_total_detections: 300
      }
      score_converter: SOFTMAX
    }
    second_stage_localization_loss_weight: 2.0
    second_stage_classification_loss_weight: 1.0
  }
}

train_config: {
  batch_size: 1
  optimizer {
    momentum_optimizer: {
      learning_rate: {
        manual_step_learning_rate {
          initial_learning_rate: 0.0002
          schedule {
            step: 1
            learning_rate: .0002
          }
          schedule {
            step: 900000
            learning_rate: .00002
          }
          schedule {
            step: 1200000
            learning_rate: .000002
          }
        }
      }
      momentum_optimizer_value: 0.9
    }
    use_moving_average: false
  }
  gradient_clipping_by_norm: 10.0
  fine_tune_checkpoint: "/home/user/Downloads/Data_Science/Git/models/research/object_detection/faster_rcnn_inception_v2_coco_2018_01_28/model.ckpt"
  from_detection_checkpoint: true
  load_all_detection_checkpoint_vars: false
  # Note: The below line limits the training process to 200K steps, which we
  # empirically found to be sufficient enough to train the pets dataset. This
  # effectively bypasses the learning rate schedule (the learning rate will
  # never decay). Remove the below line to train indefinitely.
  num_steps: 200000
  data_augmentation_options {
    random_horizontal_flip {
    }
  }
}


train_input_reader: {
  tf_record_input_reader {
    input_path: "/home/user/Downloads/Data_Science/Git/models/research/object_detection/train.record"
  }
  label_map_path: "/home/user/Downloads/Data_Science/Git/models/research/object_detection/training/labelmap.pbtxt"
}

eval_config: {
  num_examples: 67
  # Note: The below line limits the evaluation process to 10 evaluations.
  # Remove the below line to evaluate indefinitely.
  max_evals: 10
}

eval_input_reader: {
  tf_record_input_reader {
    input_path: "C:/tensorflow1/models/research/object_detection/test.record"
  }
  label_map_path: "C:/tensorflow1/models/research/object_detection/training/labelmap.pbtxt"
  shuffle: false
  num_readers: 1
}

找到 one或 two github中的类似错误。但它没有用。任何帮助将不胜感激。如果您需要更多信息，请发表评论。谢谢!

Answer 1

你确定你的型号training/model.ckpt-10250是 faster_rcnn_inception_v2_pets模型？错误 NotFoundError: Key Conv/biases not found in checkpoint [[{{node save/RestoreV2}}]]表示它无法恢复 Conv/biases从检查站。

或者，确保您使用的是对象检测框架支持的 TF 版本。您可以找到所有版本 here .