model { faster_rcnn { num_classes: 1 image_resizer { keep_aspect_ratio_resizer { min_dimension: 600 max_dimension: 1024 } } feature_extractor { type: "faster_rcnn_inception_v2" first_stage_features_stride: 16 } first_stage_anchor_generator { grid_anchor_generator { height_stride: 16 width_stride: 16 scales: 0.25 scales: 0.5 scales: 1.0 scales: 2.0 aspect_ratios: 0.5 aspect_ratios: 1.0 aspect_ratios: 2.0 } } first_stage_box_predictor_conv_hyperparams { op: CONV regularizer { l2_regularizer { weight: 0.0 } } initializer { truncated_normal_initializer { stddev: 0.009999999776482582 } } } first_stage_nms_score_threshold: 0.0 first_stage_nms_iou_threshold: 0.699999988079071 first_stage_max_proposals: 300 first_stage_localization_loss_weight: 2.0 first_stage_objectness_loss_weight: 1.0 initial_crop_size: 14 maxpool_kernel_size: 2 maxpool_stride: 2 second_stage_box_predictor { mask_rcnn_box_predictor { fc_hyperparams { op: FC regularizer { l2_regularizer { weight: 0.0 } } initializer { variance_scaling_initializer { factor: 1.0 uniform: true mode: FAN_AVG } } } use_dropout: false dropout_keep_probability: 1.0 } } second_stage_post_processing { batch_non_max_suppression { score_threshold: 0.0 iou_threshold: 0.6000000238418579 max_detections_per_class: 100 max_total_detections: 300 } score_converter: SOFTMAX } second_stage_localization_loss_weight: 2.0 second_stage_classification_loss_weight: 1.0 } } train_config { batch_size: 1 data_augmentation_options { random_horizontal_flip { } } optimizer { momentum_optimizer { learning_rate { manual_step_learning_rate { initial_learning_rate: 0.00019999999494757503 schedule { step: 900000 learning_rate: 1.9999999494757503e-05 } schedule { step: 1200000 learning_rate: 1.9999999949504854e-06 } } } momentum_optimizer_value: 0.8999999761581421 } use_moving_average: false } gradient_clipping_by_norm: 10.0 fine_tune_checkpoint: "C:/tensorflow1/models/research/object_detection/faster_rcnn_inception_v2_coco_2018_01_28/model.ckpt" from_detection_checkpoint: true num_steps: 200000 } train_input_reader { label_map_path: "C:/tensorflow1/models/research/object_detection/training/labelmap.pbtxt" tf_record_input_reader { input_path: "C:/tensorflow1/models/research/object_detection/train.record" } } eval_config { num_examples: 67 max_evals: 10 use_moving_averages: false } eval_input_reader { label_map_path: "C:/tensorflow1/models/research/object_detection/training/labelmap.pbtxt" shuffle: false num_readers: 1 tf_record_input_reader { input_path: "C:/tensorflow1/models/research/object_detection/test.record" } }