Last active
November 3, 2023 17:19
-
-
Save pjbelo/e68d38e07531042ac9502f85147c5478 to your computer and use it in GitHub Desktop.
config for ssd_resnet50_v1_fpn
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
model { | |
ssd { | |
num_classes: 1 | |
image_resizer { | |
fixed_shape_resizer { | |
height: 640 | |
width: 640 | |
} | |
} | |
feature_extractor { | |
type: "ssd_resnet50_v1_fpn_keras" | |
depth_multiplier: 1.0 | |
min_depth: 16 | |
conv_hyperparams { | |
regularizer { | |
l2_regularizer { | |
weight: 0.00039999998989515007 | |
} | |
} | |
initializer { | |
truncated_normal_initializer { | |
mean: 0.0 | |
stddev: 0.029999999329447746 | |
} | |
} | |
activation: RELU_6 | |
batch_norm { | |
decay: 0.996999979019165 | |
scale: true | |
epsilon: 0.0010000000474974513 | |
} | |
} | |
override_base_feature_extractor_hyperparams: true | |
fpn { | |
min_level: 3 | |
max_level: 7 | |
} | |
} | |
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 { | |
weight_shared_convolutional_box_predictor { | |
conv_hyperparams { | |
regularizer { | |
l2_regularizer { | |
weight: 0.00039999998989515007 | |
} | |
} | |
initializer { | |
random_normal_initializer { | |
mean: 0.0 | |
stddev: 0.009999999776482582 | |
} | |
} | |
activation: RELU_6 | |
batch_norm { | |
decay: 0.996999979019165 | |
scale: true | |
epsilon: 0.0010000000474974513 | |
} | |
} | |
depth: 256 | |
num_layers_before_predictor: 4 | |
kernel_size: 3 | |
class_prediction_bias_init: -4.599999904632568 | |
} | |
} | |
anchor_generator { | |
multiscale_anchor_generator { | |
min_level: 3 | |
max_level: 7 | |
anchor_scale: 4.0 | |
aspect_ratios: 1.0 | |
aspect_ratios: 2.0 | |
aspect_ratios: 0.5 | |
scales_per_octave: 2 | |
} | |
} | |
post_processing { | |
batch_non_max_suppression { | |
score_threshold: 9.99999993922529e-09 | |
iou_threshold: 0.6000000238418579 | |
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 { | |
} | |
} | |
classification_loss { | |
weighted_sigmoid_focal { | |
gamma: 2.0 | |
alpha: 0.25 | |
} | |
} | |
classification_weight: 1.0 | |
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: 32 | |
data_augmentation_options { | |
random_horizontal_flip { | |
} | |
} | |
data_augmentation_options { | |
random_crop_image { | |
min_object_covered: 0.0 | |
min_aspect_ratio: 0.75 | |
max_aspect_ratio: 3.0 | |
min_area: 0.75 | |
max_area: 1.0 | |
overlap_thresh: 0.0 | |
} | |
} | |
sync_replicas: true | |
optimizer { | |
momentum_optimizer { | |
learning_rate { | |
cosine_decay_learning_rate { | |
learning_rate_base: 0.03999999910593033 | |
total_steps: 25000 | |
warmup_learning_rate: 0.013333000242710114 | |
warmup_steps: 2000 | |
} | |
} | |
momentum_optimizer_value: 0.8999999761581421 | |
} | |
use_moving_average: false | |
} | |
fine_tune_checkpoint: "training_demo/pre-trained-models/ssd_resnet50_v1_fpn_640x640_coco17_tpu-8/checkpoint/ckpt-0" | |
num_steps: 25000 | |
startup_delay_steps: 0.0 | |
replicas_to_aggregate: 8 | |
max_number_of_boxes: 100 | |
unpad_groundtruth_tensors: false | |
fine_tune_checkpoint_type: "detection" | |
use_bfloat16: true | |
fine_tune_checkpoint_version: V2 | |
} | |
train_input_reader { | |
label_map_path: "training_demo/annotations/labelmap.pbtxt" | |
tf_record_input_reader { | |
input_path: "training_demo/annotations/train.record" | |
} | |
} | |
eval_config { | |
metrics_set: "coco_detection_metrics" | |
use_moving_averages: false | |
} | |
eval_input_reader { | |
label_map_path: "training_demo/annotations/labelmap.pbtxt" | |
shuffle: false | |
num_epochs: 1 | |
tf_record_input_reader { | |
input_path: "training_demo/annotations/test.record" | |
} | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment