model/pipeline.config

model {
  ssd {
    num_classes: 1
    image_resizer {
      keep_aspect_ratio_resizer {
        min_dimension: 640
        max_dimension: 640
        pad_to_max_dimension: true
      }
    }
    feature_extractor {
      type: "ssd_efficientnet-b1_bifpn_keras"
      conv_hyperparams {
        regularizer {
          l2_regularizer {
            weight: 4e-05
          }
        }
        initializer {
          truncated_normal_initializer {
            mean: 0.0
            stddev: 0.03
          }
        }
        activation: SWISH
        batch_norm {
          decay: 0.99
          scale: true
          epsilon: 0.001
        }
        force_use_bias: true
      }
      bifpn {
        min_level: 3
        max_level: 7
        num_iterations: 4
        num_filters: 88
      }
    }
    box_coder {
      faster_rcnn_box_coder {
        y_scale: 1.0
        x_scale: 1.0
        height_scale: 1.0
        width_scale: 1.0
      }
    }
    matcher {
      argmax_matcher {
        matched_threshold: 0.5
        unmatched_threshold: 0.5
        ignore_thresholds: false
        negatives_lower_than_unmatched: true
        force_match_for_each_row: true
        use_matmul_gather: true
      }
    }
    similarity_calculator {
      iou_similarity {
      }
    }
    box_predictor {
      weight_shared_convolutional_box_predictor {
        conv_hyperparams {
          regularizer {
            l2_regularizer {
              weight: 4e-05
            }
          }
          initializer {
            random_normal_initializer {
              mean: 0.0
              stddev: 0.01
            }
          }
          activation: SWISH
          batch_norm {
            decay: 0.99
            scale: true
            epsilon: 0.001
          }
          force_use_bias: true
        }
        depth: 88
        num_layers_before_predictor: 3
        kernel_size: 3
        class_prediction_bias_init: -4.6
        use_depthwise: true
      }
    }
    anchor_generator {
      multiscale_anchor_generator {
        min_level: 3
        max_level: 7
        anchor_scale: 4.0
        aspect_ratios: 1.0
        aspect_ratios: 2.0
        aspect_ratios: 0.5
        scales_per_octave: 3
      }
    }
    post_processing {
      batch_non_max_suppression {
        score_threshold: 1e-08
        iou_threshold: 0.5
        max_detections_per_class: 100
        max_total_detections: 100
      }
      score_converter: SIGMOID
    }
    normalize_loss_by_num_matches: true
    loss {
      localization_loss {
        weighted_smooth_l1 {
        }
      }
      classification_loss {
        weighted_sigmoid_focal {
          gamma: 1.5
          alpha: 0.25
        }
      }
      classification_weight: 1.0
      localization_weight: 1.0
    }
    encode_background_as_zeros: true
    normalize_loc_loss_by_codesize: true
    inplace_batchnorm_update: true
    freeze_batchnorm: false
    add_background_class: false
  }
}
train_config {
  batch_size: 3
  data_augmentation_options {
    random_horizontal_flip {
      probability: 0.3
    }
  }
  data_augmentation_options {
    random_scale_crop_and_pad_to_square {
      output_size: 640
      scale_min: 0.1
      scale_max: 2.0
    }
  }
  data_augmentation_options {
    random_distort_color {
      color_ordering: 1
    }
  }
  sync_replicas: true
  optimizer {
    momentum_optimizer {
      learning_rate {
        cosine_decay_learning_rate {
          learning_rate_base: 0.02
          total_steps: 300000
          warmup_learning_rate: 0.001
          warmup_steps: 2500
        }
      }
      momentum_optimizer_value: 0.9
    }
    use_moving_average: false
  }
  fine_tune_checkpoint: "pre-trained-models/efficientdet_d1_coco17_tpu-32/checkpoint/ckpt-0"
  num_steps: 300000
  startup_delay_steps: 0.0
  replicas_to_aggregate: 8
  max_number_of_boxes: 100
  unpad_groundtruth_tensors: false
  fine_tune_checkpoint_type: "detection"
  use_bfloat16: false
  fine_tune_checkpoint_version: V2
}
train_input_reader {
  label_map_path: "annotations/label_map.pbtxt"
  tf_record_input_reader {
    input_path: "annotations/train.record"
  }
}
eval_config {
  metrics_set: "coco_detection_metrics"
  use_moving_averages: false
  batch_size: 1
}
eval_input_reader {
  label_map_path: "annotations/label_map.pbtxt"
  shuffle: true
  num_epochs: 1
  tf_record_input_reader {
    input_path: "annotations/validation.record"
  }
}