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Commit d58a105

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‎inference_graph/checkpoint

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model_checkpoint_path: "model.ckpt"
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all_model_checkpoint_paths: "model.ckpt"
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‎inference_graph/model.ckpt.index

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‎inference_graph/model.ckpt.meta

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‎inference_graph/pipeline.config

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model {
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ssd {
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num_classes: 4
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image_resizer {
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fixed_shape_resizer {
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height: 300
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width: 300
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}
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}
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feature_extractor {
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type: "ssd_mobilenet_v1"
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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: 3.9999998989515007e-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: 0.029999999329447746
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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: 0.9997000098228455
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center: true
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scale: true
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epsilon: 0.0010000000474974513
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train: true
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}
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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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}
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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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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: 3.9999998989515007e-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: 0.029999999329447746
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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: 0.9997000098228455
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center: true
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scale: true
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epsilon: 0.0010000000474974513
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train: true
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}
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}
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min_depth: 0
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max_depth: 0
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num_layers_before_predictor: 0
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use_dropout: false
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dropout_keep_probability: 0.800000011920929
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kernel_size: 1
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box_code_size: 4
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apply_sigmoid_to_scores: false
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}
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}
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anchor_generator {
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ssd_anchor_generator {
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num_layers: 6
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min_scale: 0.20000000298023224
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max_scale: 0.949999988079071
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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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aspect_ratios: 3.0
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aspect_ratios: 0.33329999446868896
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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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}
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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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anchorwise_output: true
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}
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}
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classification_loss {
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weighted_sigmoid {
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anchorwise_output: true
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}
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}
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hard_example_miner {
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num_hard_examples: 3000
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iou_threshold: 0.9900000095367432
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loss_type: CLASSIFICATION
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max_negatives_per_positive: 3
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min_negatives_per_image: 0
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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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}
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}
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train_config {
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batch_size: 16
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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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ssd_random_crop {
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}
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}
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optimizer {
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rms_prop_optimizer {
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learning_rate {
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exponential_decay_learning_rate {
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initial_learning_rate: 0.004000000189989805
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decay_steps: 800720
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decay_factor: 0.949999988079071
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}
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}
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momentum_optimizer_value: 0.8999999761581421
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decay: 0.8999999761581421
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epsilon: 1.0
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}
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}
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fine_tune_checkpoint: "D:/models/research/images/ssd_mobilenet_v1_coco_11_06_2017/model.ckpt"
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from_detection_checkpoint: true
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num_steps: 200000
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}
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train_input_reader {
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label_map_path: "D:/models/research/images/data/object-detection.pbtxt"
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tf_record_input_reader {
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input_path: "D:/models/research/images/data/train.record"
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}
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}
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eval_config {
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num_examples: 2000
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max_evals: 10
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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: "D:/models/research/images/data/object-detection.pbtxt"
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shuffle: false
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num_readers: 1
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tf_record_input_reader {
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input_path: "D:/models/research/images/data/test.record"
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}
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}

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