SubbaRaoKota
commited on
Commit
•
3a1829c
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Parent(s):
1695da1
Upload folder using huggingface_hub
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 +189 -0
- saved_model/saved_model.pb +3 -0
- saved_model/variables/variables.data-00000-of-00001 +3 -0
- saved_model/variables/variables.index +3 -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: 1706159679.3296535
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last_preserved_timestamp: 1706159677.9893832
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checkpoint/ckpt-0.data-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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oid sha256:698677923a368b60291c1b0790b78725785aa704c96375662ff14cd67a05795e
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size 22450935
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checkpoint/ckpt-0.index
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Binary file (46.6 kB). View file
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pipeline.config
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model {
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ssd {
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num_classes: 2
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image_resizer {
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keep_aspect_ratio_resizer {
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min_dimension: 512
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max_dimension: 512
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pad_to_max_dimension: true
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}
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}
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feature_extractor {
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type: "ssd_efficientnet-b0_bifpn_keras"
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conv_hyperparams {
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regularizer {
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l2_regularizer {
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weight: 4e-05
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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: 0.03
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}
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}
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activation: SWISH
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batch_norm {
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decay: 0.99
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scale: true
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epsilon: 0.001
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}
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force_use_bias: true
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}
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bifpn {
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min_level: 3
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max_level: 7
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num_iterations: 3
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num_filters: 64
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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: 1.0
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x_scale: 1.0
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height_scale: 1.0
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width_scale: 1.0
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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: 4e-05
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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: 0.01
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}
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}
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activation: SWISH
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batch_norm {
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decay: 0.99
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scale: true
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epsilon: 0.001
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}
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force_use_bias: true
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}
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depth: 64
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num_layers_before_predictor: 3
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kernel_size: 3
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class_prediction_bias_init: -4.6
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use_depthwise: true
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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: 3
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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: 1e-08
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iou_threshold: 0.5
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max_detections_per_class: 100
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max_total_detections: 100
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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: 1.5
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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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add_background_class: false
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}
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}
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train_config {
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batch_size: 10
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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_scale_crop_and_pad_to_square {
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output_size: 512
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scale_min: 0.1
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scale_max: 2.0
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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: 0.04
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total_steps: 25000
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warmup_learning_rate: 0.013333
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warmup_steps: 2500
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}
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}
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momentum_optimizer_value: 0.9
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}
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use_moving_average: false
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}
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fine_tune_checkpoint: "/home/ubuntu/burger_project/pretrained_models/efficientdet_d0_coco17_tpu-32/checkpoint/ckpt-0"
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num_steps: 300000
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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: "detection"
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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: "/home/ubuntu/burger_project/data/label_map.pbtxt"
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tf_record_input_reader {
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input_path: "/home/ubuntu/burger_project/data/train.record"
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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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batch_size: 1
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}
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eval_input_reader {
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label_map_path: "/home/ubuntu/burger_project/data/label_map.pbtxt"
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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: "/home/ubuntu/burger_project/data/val.record"
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}
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}
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saved_model/saved_model.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:2548c1fe53108fffb766237831649396ae4ced25c48a1e81967f232cb024ba27
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size 23358666
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saved_model/variables/variables.data-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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oid sha256:a79ca13c0857e33a5b8c3fc9fc5561cbac4282b99d090273ed68b202622f2753
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size 22617214
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saved_model/variables/variables.index
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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 sha256:30894deff054e878a90ccee75998c7174c7a7e982864e30de1f9622b1e5d7c58
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size 39720
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