title: Tensorflow: label_map_item = keypoint_map_dict[kp_config.keypoint_class_name] KeyError: 'item'
body: <p>I try to make an object detection using Tensorflow following this tutorial:
  <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/index.html" rel="nofollow noreferrer">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/index.html</a>
  Now I'm nearly at the end and need to run mine pipeline.config. When I run this I get the following Error:</p>
  <p><code>model_builder.py&quot;, line 844, in keypoint_proto_to_params label_map_item = keypoint_map_dict[kp_config.keypoint_class_name] KeyError: 'item'</code></p>
  <p>My pipeline.config file looks like this:</p>
  <pre><code># hourglass[1] backbone. This config achieves an mAP of 41.92 +/- 0.16 on
  # COCO 17 (averaged over 5 runs). This config is TPU compatible.
  # [1]: https://arxiv.org/abs/1603.06937
  # [2]: https://arxiv.org/abs/1904.07850
  
  model {
    center_net {
      num_classes: 5
      feature_extractor {
        type: &quot;hourglass_104&quot;
        bgr_ordering: true
        channel_means: [104.01362025, 114.03422265, 119.9165958 ]
        channel_stds: [73.6027665 , 69.89082075, 70.9150767 ]
      }
      image_resizer {
        keep_aspect_ratio_resizer {
          min_dimension: 512
          max_dimension: 512
          pad_to_max_dimension: true
        }
      }
      object_detection_task {
        task_loss_weight: 1.0
        offset_loss_weight: 1.0
        scale_loss_weight: 0.1
        localization_loss {
          l1_localization_loss {
          }
        }
      }
      object_center_params {
        object_center_loss_weight: 1.0
        min_box_overlap_iou: 0.7
        max_box_predictions: 100
        classification_loss {
          penalty_reduced_logistic_focal_loss {
            alpha: 2.0
            beta: 4.0
          }
        }
      }
  
      keypoint_label_map_path: &quot;annotations/label_map_cans_in_fridge.pbtxt&quot;
      keypoint_estimation_task {
        task_name: &quot;human_pose&quot;
        task_loss_weight: 1.0
        loss {
          localization_loss {
            l1_localization_loss {
            }
          }
          classification_loss {
            penalty_reduced_logistic_focal_loss {
              alpha: 2.0
              beta: 4.0
            }
          }
        }
        keypoint_class_name: &quot;item&quot;
        keypoint_label_to_std {
          key: &quot;left_ankle&quot;
          value: 0.89
        }
        keypoint_label_to_std {
          key: &quot;left_ear&quot;
          value: 0.35
        }
        keypoint_label_to_std {
          key: &quot;left_elbow&quot;
          value: 0.72
        }
        keypoint_label_to_std {
          key: &quot;left_eye&quot;
          value: 0.25
        }
        keypoint_label_to_std {
          key: &quot;left_hip&quot;
          value: 1.07
        }
        keypoint_label_to_std {
          key: &quot;left_knee&quot;
          value: 0.89
        }
        keypoint_label_to_std {
          key: &quot;left_shoulder&quot;
          value: 0.79
        }
        keypoint_label_to_std {
          key: &quot;left_wrist&quot;
          value: 0.62
        }
        keypoint_label_to_std {
          key: &quot;nose&quot;
          value: 0.26
        }
        keypoint_label_to_std {
          key: &quot;right_ankle&quot;
          value: 0.89
        }
        keypoint_label_to_std {
          key: &quot;right_ear&quot;
          value: 0.35
        }
        keypoint_label_to_std {
          key: &quot;right_elbow&quot;
          value: 0.72
        }
        keypoint_label_to_std {
          key: &quot;right_eye&quot;
          value: 0.25
        }
        keypoint_label_to_std {
          key: &quot;right_hip&quot;
          value: 1.07
        }
        keypoint_label_to_std {
          key: &quot;right_knee&quot;
          value: 0.89
        }
        keypoint_label_to_std {
          key: &quot;right_shoulder&quot;
          value: 0.79
        }
        keypoint_label_to_std {
          key: &quot;right_wrist&quot;
          value: 0.62
        }
        keypoint_regression_loss_weight: 0.1
        keypoint_heatmap_loss_weight: 1.0
        keypoint_offset_loss_weight: 1.0
        offset_peak_radius: 3
        per_keypoint_offset: true
      }
    }
  }
  
  train_config: {
  
    batch_size: 8 # higher volume requires more memory, can change this
    num_steps: 250000
  
    data_augmentation_options {
      random_horizontal_flip {
        keypoint_flip_permutation: 0
        keypoint_flip_permutation: 2
        keypoint_flip_permutation: 1
        keypoint_flip_permutation: 4
        keypoint_flip_permutation: 3
        keypoint_flip_permutation: 6
        keypoint_flip_permutation: 5
        keypoint_flip_permutation: 8
        keypoint_flip_permutation: 7
        keypoint_flip_permutation: 10
        keypoint_flip_permutation: 9
        keypoint_flip_permutation: 12
        keypoint_flip_permutation: 11
        keypoint_flip_permutation: 14
        keypoint_flip_permutation: 13
        keypoint_flip_permutation: 16
        keypoint_flip_permutation: 15
      }
    }
  
    data_augmentation_options {
      random_crop_image {
        min_aspect_ratio: 0.5
        max_aspect_ratio: 1.7
        random_coef: 0.25
      }
    }
  
  
    data_augmentation_options {
      random_adjust_hue {
      }
    }
  
    data_augmentation_options {
      random_adjust_contrast {
      }
    }
  
    data_augmentation_options {
      random_adjust_saturation {
      }
    }
  
    data_augmentation_options {
      random_adjust_brightness {
      }
    }
  
    data_augmentation_options {
      random_absolute_pad_image {
         max_height_padding: 200
         max_width_padding: 200
         pad_color: [0, 0, 0]
      }
    }
  
    optimizer {
      adam_optimizer: {
        epsilon: 1e-7  # Match tf.keras.optimizers.Adam's default.
        learning_rate: {
          cosine_decay_learning_rate {
            learning_rate_base: 1e-3
            total_steps: 250000
            warmup_learning_rate: 2.5e-4
            warmup_steps: 5000
          }
        }
      }
      use_moving_average: false
    }
    max_number_of_boxes: 100
    unpad_groundtruth_tensors: false
  
    fine_tune_checkpoint_version: V2
    fine_tune_checkpoint: &quot;pre-trained-models/ssd_resnet50_v1_fpn_640x640_coco17_tpu-8/checkpoint/ckpt-0&quot;
    fine_tune_checkpoint_type: &quot;detection&quot;
  }
  
  train_input_reader: {
    label_map_path: &quot;annotations/label_map_cans_in_fridge.pbtxt&quot;
    tf_record_input_reader {
      input_path: &quot;annotations/train.record&quot;
    }
    num_keypoints: 17
  }
  
  eval_config: {
    metrics_set: &quot;coco_detection_metrics&quot;
    use_moving_averages: false
    num_visualizations: 10
    max_num_boxes_to_visualize: 20
    min_score_threshold: 0.2
    batch_size: 1;
    parameterized_metric {
      coco_keypoint_metrics {
        class_label: &quot;person&quot;
        keypoint_label_to_sigmas {
          key: &quot;nose&quot;
          value: 0.026
        }
        keypoint_label_to_sigmas {
          key: &quot;left_eye&quot;
          value: 0.025
        }
        keypoint_label_to_sigmas {
          key: &quot;right_eye&quot;
          value: 0.025
        }
        keypoint_label_to_sigmas {
          key: &quot;left_ear&quot;
          value: 0.035
        }
        keypoint_label_to_sigmas {
          key: &quot;right_ear&quot;
          value: 0.035
        }
        keypoint_label_to_sigmas {
          key: &quot;left_shoulder&quot;
          value: 0.079
        }
        keypoint_label_to_sigmas {
          key: &quot;right_shoulder&quot;
          value: 0.079
        }
        keypoint_label_to_sigmas {
          key: &quot;left_elbow&quot;
          value: 0.072
        }
        keypoint_label_to_sigmas {
          key: &quot;right_elbow&quot;
          value: 0.072
        }
        keypoint_label_to_sigmas {
          key: &quot;left_wrist&quot;
          value: 0.062
        }
        keypoint_label_to_sigmas {
          key: &quot;right_wrist&quot;
          value: 0.062
        }
        keypoint_label_to_sigmas {
          key: &quot;left_hip&quot;
          value: 0.107
        }
        keypoint_label_to_sigmas {
          key: &quot;right_hip&quot;
          value: 0.107
        }
        keypoint_label_to_sigmas {
          key: &quot;left_knee&quot;
          value: 0.087
        }
        keypoint_label_to_sigmas {
          key: &quot;right_knee&quot;
          value: 0.087
        }
        keypoint_label_to_sigmas {
          key: &quot;left_ankle&quot;
          value: 0.089
        }
        keypoint_label_to_sigmas {
          key: &quot;right_ankle&quot;
          value: 0.089
        }
      }
    }
    # Provide the edges to connect the keypoints. The setting is suitable for
    # COCO's 17 human pose keypoints.
    keypoint_edge {  # nose-left eye
      start: 0
      end: 1
    }
    keypoint_edge {  # nose-right eye
      start: 0
      end: 2
    }
    keypoint_edge {  # left eye-left ear
      start: 1
      end: 3
    }
    keypoint_edge {  # right eye-right ear
      start: 2
      end: 4
    }
    keypoint_edge {  # nose-left shoulder
      start: 0
      end: 5
    }
    keypoint_edge {  # nose-right shoulder
      start: 0
      end: 6
    }
    keypoint_edge {  # left shoulder-left elbow
      start: 5
      end: 7
    }
    keypoint_edge {  # left elbow-left wrist
      start: 7
      end: 9
    }
    keypoint_edge {  # right shoulder-right elbow
      start: 6
      end: 8
    }
    keypoint_edge {  # right elbow-right wrist
      start: 8
      end: 10
    }
    keypoint_edge {  # left shoulder-right shoulder
      start: 5
      end: 6
    }
    keypoint_edge {  # left shoulder-left hip
      start: 5
      end: 11
    }
    keypoint_edge {  # right shoulder-right hip
      start: 6
      end: 12
    }
    keypoint_edge {  # left hip-right hip
      start: 11
      end: 12
    }
    keypoint_edge {  # left hip-left knee
      start: 11
      end: 13
    }
    keypoint_edge {  # left knee-left ankle
      start: 13
      end: 15
    }
    keypoint_edge {  # right hip-right knee
      start: 12
      end: 14
    }
    keypoint_edge {  # right knee-right ankle
      start: 14
      end: 16
    }
  }
  
  eval_input_reader: {
    label_map_path: &quot;annotations/label_map_cans_in_fridge.pbtxt&quot;
    tf_record_input_reader {
      input_path: &quot;annotations/test.record&quot;
    }
    num_keypoints: 17
  }
  
  </code></pre>
  <p>I checked the path of al the directories and that's fine. The problem lies with following line:</p>
  <p><code>keypoint_class_name: &quot;item&quot;</code></p>
  <p>The value Item I got from my labelimg.pbtxt file. which looks like this:</p>
  <pre><code>    id: 1
      name: 'ColaCan'
  }
  
  item {
      id: 2
      name: 'FantaCan'
  }
  
  item {
      id: 3
      name: 'SpriteLemonCan'
  }
  
  item {
      id: 4
      name: 'Upperside'
  }
  
  
  item {
      id: 5
      name: 'VanishingLine'
  }
  </code></pre>
  <p>Can someone help me to tell me what I did wrong?</p>