yolo_v4_minneapple.txt

random_seed: 42
yolov4_config {
  big_anchor_shape: "[(29.33, 27.00), (32.27, 35.00), (41.07, 42.00)]"
  mid_anchor_shape: "[(20.53, 21.00), (25.42, 20.00), (22.49, 29.00)]"
  small_anchor_shape: "[(15.64, 12.00), (12.71, 18.00), (17.60, 22.00)]"
  box_matching_iou: 0.25
  matching_neutral_box_iou: 0.5
  arch: "resnet"
  nlayers: 18
  arch_conv_blocks: 2
  loss_loc_weight: 1.0
  loss_neg_obj_weights: 1.0
  loss_class_weights: 1.0
  label_smoothing: 0.0
  big_grid_xy_extend: 0.05
  mid_grid_xy_extend: 0.1
  small_grid_xy_extend: 0.2
  freeze_bn: false
  #freeze_blocks: 0
  force_relu: false
}
training_config {
  batch_size_per_gpu: 4
  num_epochs: 50
  enable_qat: false
  checkpoint_interval: 10
  learning_rate {
    soft_start_cosine_annealing_schedule {
      min_learning_rate: 1e-7
      max_learning_rate: 1e-4
      soft_start: 0.3
    }
  }
  regularizer {
    type: L1
    weight: 3e-5
  }
  optimizer {
    adam {
      epsilon: 1e-7
      beta1: 0.9
      beta2: 0.999
      amsgrad: false
    }
  }
  pretrain_model_path: "/workspace/tao-experiments/yolo_v4/pretrained_resnet18/pretrained_object_detection_vresnet18/resnet_18.hdf5"
}
eval_config {
  average_precision_mode: SAMPLE
  batch_size: 8
  matching_iou_threshold: 0.5
}
nms_config {
  confidence_threshold: 0.001
  clustering_iou_threshold: 0.5
  top_k: 200
}
augmentation_config {
  hue: 0.1
  saturation: 1.5
  exposure:1.5
  vertical_flip:0
  horizontal_flip: 0.5
  jitter: 0.3
  output_width: 704
  output_height: 1280
  output_channel: 3
  randomize_input_shape_period: 0
  mosaic_prob: 0.5
  mosaic_min_ratio:0.2
}
dataset_config {
  data_sources: {
      label_directory_path: "/workspace/tao-experiments/data/train/labels"
      image_directory_path: "/workspace/tao-experiments/data/train/images"
  }
  include_difficult_in_training: true
  image_extension: "png"
  validation_data_sources: {
      label_directory_path: "/workspace/tao-experiments/data/train/labels"
      image_directory_path: "/workspace/tao-experiments/data/train/images"
  }
     target_class_mapping {
       key: "car"
       value: "Apple"
   }
}