2019-03-18 19:45:05 +01:00
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# SSD with Resnet 50 v1 FPN feature extractor, shared box predictor and focal
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# loss (a.k.a Retinanet).
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# See Lin et al, https://arxiv.org/abs/1708.02002
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# Trained on COCO, initialized from Imagenet classification checkpoint
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model {
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ssd {
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inplace_batchnorm_update: true
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freeze_batchnorm: true
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num_classes: 90
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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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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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encode_background_as_zeros: true
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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, 2.0, 0.5]
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scales_per_octave: 2
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}
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}
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image_resizer {
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fixed_shape_resizer {
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height: 320
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width: 320
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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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depth: 256
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class_prediction_bias_init: -4.6
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conv_hyperparams {
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activation: RELU_6,
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regularizer {
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l2_regularizer {
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weight: 0.0004
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}
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}
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initializer {
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random_normal_initializer {
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stddev: 0.01
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mean: 0.0
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}
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}
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batch_norm {
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scale: true,
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decay: 0.997,
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epsilon: 0.001,
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}
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}
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num_layers_before_predictor: 4
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kernel_size: 3
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}
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}
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feature_extractor {
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type: 'ssd_resnet50_v1_fpn'
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fpn {
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min_level: 3
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max_level: 7
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}
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min_depth: 16
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depth_multiplier: 1.0
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conv_hyperparams {
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activation: RELU_6,
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regularizer {
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l2_regularizer {
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weight: 0.0004
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}
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}
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initializer {
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truncated_normal_initializer {
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stddev: 0.03
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mean: 0.0
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}
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}
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batch_norm {
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scale: true,
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decay: 0.997,
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epsilon: 0.001,
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}
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}
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override_base_feature_extractor_hyperparams: true
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}
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loss {
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classification_loss {
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weighted_sigmoid_focal {
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alpha: 0.25
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gamma: 2.0
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}
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}
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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_weight: 1.0
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localization_weight: 1.0
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}
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normalize_loss_by_num_matches: true
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normalize_loc_loss_by_codesize: true
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post_processing {
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batch_non_max_suppression {
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score_threshold: 1e-8
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iou_threshold: 0.6
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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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}
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}
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train_config: {
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fine_tune_checkpoint: "/checkpoints/resnet_v1_50/model.ckpt"
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fine_tune_checkpoint_type: "classification"
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batch_size: 32
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sync_replicas: true
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startup_delay_steps: 0
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replicas_to_aggregate: 8
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num_steps: 12500
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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_crop_image {
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min_object_covered: 0.0
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min_aspect_ratio: 0.75
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max_aspect_ratio: 3.0
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min_area: 0.75
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max_area: 1.0
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overlap_thresh: 0.0
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}
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}
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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: .16000000000000000000
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total_steps: 12500
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warmup_learning_rate: .06933120000000000000
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warmup_steps: 1000
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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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max_number_of_boxes: 100
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unpad_groundtruth_tensors: false
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}
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train_input_reader: {
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tf_record_input_reader {
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2019-05-25 01:23:11 +02:00
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input_path: "/data/coco2017_tfrecords/*train*"
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2019-03-18 19:45:05 +01:00
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}
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label_map_path: "object_detection/data/mscoco_label_map.pbtxt"
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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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num_examples: 8000
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}
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eval_input_reader: {
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tf_record_input_reader {
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2019-05-25 01:23:11 +02:00
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input_path: "/data/coco2017_tfrecords/*val*"
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2019-03-18 19:45:05 +01:00
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}
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label_map_path: "object_detection/data/mscoco_label_map.pbtxt"
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shuffle: false
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num_readers: 1
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}
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