Upload 4 files
Browse files- .gitattributes +1 -0
- checkpoint/checkpoint +4 -0
- checkpoint/ckpt-0.data-00000-of-00001 +3 -0
- checkpoint/ckpt-0.index +0 -0
- pipeline.config +188 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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checkpoint/ckpt-0.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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checkpoint/checkpoint
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model_checkpoint_path: "ckpt-0"
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all_model_checkpoint_paths: "ckpt-0"
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all_model_checkpoint_timestamps: 1594350057.1342435
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last_preserved_timestamp: 1594350055.0480783
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checkpoint/ckpt-0.data-00000-of-00001
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c5ff5d40d12e72808a8267ffd95b3a1422b1e423f7bdf6335f280e3f21f9a3b
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size 131768450
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checkpoint/ckpt-0.index
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Binary file (7.52 kB). View file
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pipeline.config
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@@ -0,0 +1,188 @@
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model {
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ssd {
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num_classes: 90
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image_resizer {
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fixed_shape_resizer {
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height: 640
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width: 640
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}
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}
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feature_extractor {
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type: "ssd_resnet50_v1_fpn_keras"
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depth_multiplier: 1.0
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min_depth: 16
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conv_hyperparams {
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regularizer {
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l2_regularizer {
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weight: 0.00039999998989515007
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}
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}
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initializer {
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truncated_normal_initializer {
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mean: 0.0
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stddev: 0.029999999329447746
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}
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}
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activation: RELU_6
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batch_norm {
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decay: 0.996999979019165
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scale: true
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epsilon: 0.0010000000474974513
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}
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}
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override_base_feature_extractor_hyperparams: true
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fpn {
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min_level: 3
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max_level: 7
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}
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}
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box_coder {
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faster_rcnn_box_coder {
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y_scale: 10.0
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x_scale: 10.0
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height_scale: 5.0
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width_scale: 5.0
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}
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}
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matcher {
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argmax_matcher {
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matched_threshold: 0.5
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unmatched_threshold: 0.5
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ignore_thresholds: false
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negatives_lower_than_unmatched: true
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force_match_for_each_row: true
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use_matmul_gather: true
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}
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}
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similarity_calculator {
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iou_similarity {
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}
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}
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box_predictor {
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weight_shared_convolutional_box_predictor {
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conv_hyperparams {
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regularizer {
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l2_regularizer {
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weight: 0.00039999998989515007
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}
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}
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initializer {
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random_normal_initializer {
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mean: 0.0
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stddev: 0.009999999776482582
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}
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}
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activation: RELU_6
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batch_norm {
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decay: 0.996999979019165
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scale: true
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epsilon: 0.0010000000474974513
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}
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}
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depth: 256
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num_layers_before_predictor: 4
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kernel_size: 3
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class_prediction_bias_init: -4.599999904632568
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}
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}
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anchor_generator {
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multiscale_anchor_generator {
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min_level: 3
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max_level: 7
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anchor_scale: 4.0
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aspect_ratios: 1.0
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aspect_ratios: 2.0
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aspect_ratios: 0.5
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scales_per_octave: 2
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}
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}
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post_processing {
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batch_non_max_suppression {
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score_threshold: 9.99999993922529e-09
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iou_threshold: 0.6000000238418579
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max_detections_per_class: 100
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max_total_detections: 100
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use_static_shapes: false
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}
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score_converter: SIGMOID
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}
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normalize_loss_by_num_matches: true
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loss {
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localization_loss {
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weighted_smooth_l1 {
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}
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}
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classification_loss {
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weighted_sigmoid_focal {
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gamma: 2.0
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alpha: 0.25
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}
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}
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classification_weight: 1.0
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localization_weight: 1.0
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}
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encode_background_as_zeros: true
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normalize_loc_loss_by_codesize: true
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inplace_batchnorm_update: true
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freeze_batchnorm: false
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}
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}
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train_config {
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batch_size: 64
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data_augmentation_options {
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random_horizontal_flip {
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}
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}
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data_augmentation_options {
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random_crop_image {
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min_object_covered: 0.0
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min_aspect_ratio: 0.75
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max_aspect_ratio: 3.0
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min_area: 0.75
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max_area: 1.0
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overlap_thresh: 0.0
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}
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}
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sync_replicas: true
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optimizer {
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momentum_optimizer {
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learning_rate {
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cosine_decay_learning_rate {
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learning_rate_base: 0.03999999910593033
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total_steps: 25000
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warmup_learning_rate: 0.013333000242710114
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warmup_steps: 2000
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}
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}
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momentum_optimizer_value: 0.8999999761581421
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}
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use_moving_average: false
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}
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fine_tune_checkpoint: "PATH_TO_BE_CONFIGURED"
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num_steps: 25000
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startup_delay_steps: 0.0
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replicas_to_aggregate: 8
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max_number_of_boxes: 100
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unpad_groundtruth_tensors: false
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fine_tune_checkpoint_type: "classification"
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use_bfloat16: true
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fine_tune_checkpoint_version: V2
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}
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train_input_reader {
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label_map_path: "PATH_TO_BE_CONFIGURED"
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tf_record_input_reader {
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input_path: "PATH_TO_BE_CONFIGURED"
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}
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}
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eval_config {
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metrics_set: "coco_detection_metrics"
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use_moving_averages: false
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}
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eval_input_reader {
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label_map_path: "PATH_TO_BE_CONFIGURED"
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shuffle: false
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num_epochs: 1
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tf_record_input_reader {
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input_path: "PATH_TO_BE_CONFIGURED"
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}
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}
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