Created
October 17, 2019 09:40
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| { | |
| "model": { | |
| "ssd": { | |
| "num_classes": 90, | |
| "box_coder": { | |
| "faster_rcnn_box_coder": { | |
| "y_scale": 10, | |
| "x_scale": 10, | |
| "height_scale": 5, | |
| "width_scale": 5 | |
| } | |
| }, | |
| "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 | |
| } | |
| }, | |
| "similarity_calculator": { | |
| "iou_similarity": {} | |
| }, | |
| "anchor_generator": { | |
| "ssd_anchor_generator": { | |
| "num_layers": 6, | |
| "min_scale": 0.2, | |
| "max_scale": 0.95, | |
| "aspect_ratios": 0.3333 | |
| } | |
| }, | |
| "image_resizer": { | |
| "fixed_shape_resizer": { | |
| "height": 300, | |
| "width": 300 | |
| } | |
| }, | |
| "box_predictor": { | |
| "convolutional_box_predictor": { | |
| "min_depth": 0, | |
| "max_depth": 0, | |
| "num_layers_before_predictor": 0, | |
| "use_dropout": false, | |
| "dropout_keep_probability": 0.8, | |
| "kernel_size": 3, | |
| "use_depthwise": true, | |
| "box_code_size": 4, | |
| "apply_sigmoid_to_scores": false, | |
| "conv_hyperparams": { | |
| "activation": "RELU_6", | |
| "regularizer": { | |
| "l2_regularizer": { | |
| "weight": 0.00004 | |
| } | |
| }, | |
| "initializer": { | |
| "truncated_normal_initializer": { | |
| "stddev": 0.03, | |
| "mean": 0 | |
| } | |
| }, | |
| "batch_norm": { | |
| "train": true, | |
| "scale": true, | |
| "center": true, | |
| "decay": 0.9997, | |
| "epsilon": 0.001 | |
| } | |
| } | |
| } | |
| }, | |
| "feature_extractor": { | |
| "type": "ssd_mobilenet_v2", | |
| "min_depth": 16, | |
| "depth_multiplier": 1, | |
| "use_depthwise": true, | |
| "conv_hyperparams": { | |
| "activation": "RELU_6", | |
| "regularizer": { | |
| "l2_regularizer": { | |
| "weight": 0.00004 | |
| } | |
| }, | |
| "initializer": { | |
| "truncated_normal_initializer": { | |
| "stddev": 0.03, | |
| "mean": 0 | |
| } | |
| }, | |
| "batch_norm": { | |
| "train": true, | |
| "scale": true, | |
| "center": true, | |
| "decay": 0.9997, | |
| "epsilon": 0.001 | |
| } | |
| } | |
| }, | |
| "loss": { | |
| "classification_loss": { | |
| "weighted_sigmoid": {} | |
| }, | |
| "localization_loss": { | |
| "weighted_smooth_l1": {} | |
| }, | |
| "hard_example_miner": { | |
| "num_hard_examples": 3000, | |
| "iou_threshold": 0.99, | |
| "loss_type": "CLASSIFICATION", | |
| "max_negatives_per_positive": 3, | |
| "min_negatives_per_image": 3 | |
| }, | |
| "classification_weight": 1, | |
| "localization_weight": 1 | |
| }, | |
| "normalize_loss_by_num_matches": true, | |
| "post_processing": { | |
| "batch_non_max_suppression": { | |
| "score_threshold": "1e-8", | |
| "iou_threshold": 0.6, | |
| "max_detections_per_class": 100, | |
| "max_total_detections": 100 | |
| }, | |
| "score_converter": "SIGMOID" | |
| } | |
| } | |
| }, | |
| "train_config": { | |
| "batch_size": 24, | |
| "optimizer": { | |
| "rms_prop_optimizer": { | |
| "learning_rate": { | |
| "exponential_decay_learning_rate": { | |
| "initial_learning_rate": 0.004, | |
| "decay_steps": 800720, | |
| "decay_factor": 0.95 | |
| } | |
| }, | |
| "momentum_optimizer_value": 0.9, | |
| "decay": 0.9, | |
| "epsilon": 1 | |
| } | |
| }, | |
| "fine_tune_checkpoint": "PATH_TO_BE_CONFIGURED/model.ckpt", | |
| "fine_tune_checkpoint_type": "detection", | |
| "num_steps": 200000, | |
| "data_augmentation_options": { | |
| "ssd_random_crop": {} | |
| } | |
| }, | |
| "train_input_reader": { | |
| "tf_record_input_reader": { | |
| "input_path": "PATH_TO_BE_CONFIGURED/mscoco_train.record-?????-of-00100" | |
| }, | |
| "label_map_path": "PATH_TO_BE_CONFIGURED/mscoco_label_map.pbtxt" | |
| }, | |
| "eval_config": { | |
| "num_examples": 8000, | |
| "max_evals": 10 | |
| }, | |
| "eval_input_reader": { | |
| "tf_record_input_reader": { | |
| "input_path": "PATH_TO_BE_CONFIGURED/mscoco_val.record-?????-of-00010" | |
| }, | |
| "label_map_path": "PATH_TO_BE_CONFIGURED/mscoco_label_map.pbtxt", | |
| "shuffle": false, | |
| "num_readers": 1 | |
| } | |
| } |
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