| model { | |
| ssd { | |
| num_classes: 2 | |
| image_resizer { | |
| fixed_shape_resizer { | |
| height: 300 | |
| width: 300 | |
| } | |
| } | |
| feature_extractor { | |
| type: "ssd_mobilenet_v2_keras" | |
| depth_multiplier: 1.0 | |
| min_depth: 16 | |
| conv_hyperparams { | |
| regularizer { | |
| l2_regularizer { | |
| weight: 4e-05 | |
| } | |
| } | |
| initializer { | |
| truncated_normal_initializer { | |
| mean: 0.0 | |
| stddev: 0.03 | |
| } | |
| } | |
| activation: RELU_6 | |
| batch_norm { | |
| decay: 0.97 | |
| center: true | |
| scale: true | |
| epsilon: 0.001 | |
| train: true | |
| } | |
| } | |
| override_base_feature_extractor_hyperparams: true | |
| } | |
| box_coder { | |
| faster_rcnn_box_coder { | |
| y_scale: 10.0 | |
| x_scale: 10.0 | |
| height_scale: 5.0 | |
| width_scale: 5.0 | |
| } | |
| } | |
| 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 { | |
| convolutional_box_predictor { | |
| conv_hyperparams { | |
| regularizer { | |
| l2_regularizer { | |
| weight: 4e-05 | |
| } | |
| } | |
| initializer { | |
| random_normal_initializer { | |
| mean: 0.0 | |
| stddev: 0.01 | |
| } | |
| } | |
| activation: RELU_6 | |
| batch_norm { | |
| decay: 0.97 | |
| center: true | |
| scale: true | |
| epsilon: 0.001 | |
| train: true | |
| } | |
| } | |
| min_depth: 0 | |
| max_depth: 0 | |
| num_layers_before_predictor: 0 | |
| use_dropout: false | |
| dropout_keep_probability: 0.8 | |
| kernel_size: 1 | |
| box_code_size: 4 | |
| apply_sigmoid_to_scores: false | |
| class_prediction_bias_init: -4.6 | |
| } | |
| } | |
| anchor_generator { | |
| ssd_anchor_generator { | |
| num_layers: 6 | |
| min_scale: 0.2 | |
| max_scale: 0.95 | |
| aspect_ratios: 1.0 | |
| aspect_ratios: 2.0 | |
| aspect_ratios: 0.5 | |
| aspect_ratios: 3.0 | |
| aspect_ratios: 0.3333 | |
| } | |
| } | |
| post_processing { | |
| batch_non_max_suppression { | |
| score_threshold: 1e-08 | |
| iou_threshold: 0.6 | |
| max_detections_per_class: 100 | |
| max_total_detections: 100 | |
| use_static_shapes: false | |
| } | |
| score_converter: SIGMOID | |
| } | |
| normalize_loss_by_num_matches: true | |
| loss { | |
| localization_loss { | |
| weighted_smooth_l1 { | |
| delta: 1.0 | |
| } | |
| } | |
| classification_loss { | |
| weighted_sigmoid_focal { | |
| gamma: 2.0 | |
| alpha: 0.75 | |
| } | |
| } | |
| classification_weight: 0.7 | |
| localization_weight: 1.0 | |
| } | |
| encode_background_as_zeros: true | |
| normalize_loc_loss_by_codesize: true | |
| inplace_batchnorm_update: true | |
| freeze_batchnorm: false | |
| } | |
| } | |
| train_config { | |
| batch_size: 10 | |
| data_augmentation_options { | |
| random_horizontal_flip { | |
| } | |
| } | |
| data_augmentation_options { | |
| ssd_random_crop { | |
| } | |
| } | |
| sync_replicas: true | |
| optimizer { | |
| momentum_optimizer { | |
| learning_rate { | |
| cosine_decay_learning_rate { | |
| learning_rate_base: 0.04 | |
| total_steps: 25000 | |
| warmup_learning_rate: 0.013333 | |
| warmup_steps: 2000 | |
| } | |
| } | |
| momentum_optimizer_value: 0.9 | |
| } | |
| use_moving_average: false | |
| } | |
| fine_tune_checkpoint: "/home/ubuntu/balloon_project/pretrained_models/ssd_mobilenet_v2_320x320_coco17_tpu-8/checkpoint/ckpt-0" | |
| num_steps: 50000 | |
| startup_delay_steps: 0.0 | |
| replicas_to_aggregate: 8 | |
| max_number_of_boxes: 100 | |
| unpad_groundtruth_tensors: false | |
| fine_tune_checkpoint_type: "detection" | |
| fine_tune_checkpoint_version: V2 | |
| } | |
| train_input_reader { | |
| label_map_path: "/home/ubuntu/balloon_project/data/label_map.pbtxt" | |
| tf_record_input_reader { | |
| input_path: "/home/ubuntu/balloon_project/data/train.record" | |
| } | |
| } | |
| eval_config { | |
| metrics_set: "coco_detection_metrics" | |
| use_moving_averages: false | |
| } | |
| eval_input_reader { | |
| label_map_path: "/home/ubuntu/balloon_project/data/label_map.pbtxt" | |
| shuffle: false | |
| num_epochs: 1 | |
| tf_record_input_reader { | |
| input_path: "/home/ubuntu/balloon_project/data/val.record" | |
| } | |
| } | |