Created
February 22, 2023 13:24
-
-
Save epeschard/8e5505da540763f553cd174a42ead057 to your computer and use it in GitHub Desktop.
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
# SSD with Mobilenet v2 | |
# Trained on COCO17, initialized from Imagenet classification checkpoint | |
# Train on TPU-8 | |
# | |
# Achieves 22.2 mAP on COCO17 Val | |
model { | |
ssd { | |
inplace_batchnorm_update: true | |
freeze_batchnorm: false | |
num_classes: 1 | |
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 { | |
} | |
} | |
encode_background_as_zeros: true | |
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 | |
} | |
} | |
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: 1 | |
box_code_size: 4 | |
apply_sigmoid_to_scores: false | |
class_prediction_bias_init: -4.6 | |
conv_hyperparams { | |
activation: RELU_6, | |
regularizer { | |
l2_regularizer { | |
weight: 0.00004 | |
} | |
} | |
initializer { | |
random_normal_initializer { | |
stddev: 0.01 | |
mean: 0.0 | |
} | |
} | |
batch_norm { | |
train: true, | |
scale: true, | |
center: true, | |
decay: 0.97, | |
epsilon: 0.001, | |
} | |
} | |
} | |
} | |
feature_extractor { | |
type: 'ssd_mobilenet_v2_keras' | |
min_depth: 16 | |
depth_multiplier: 1.0 | |
conv_hyperparams { | |
activation: RELU_6, | |
regularizer { | |
l2_regularizer { | |
weight: 0.00004 | |
} | |
} | |
initializer { | |
truncated_normal_initializer { | |
stddev: 0.03 | |
mean: 0.0 | |
} | |
} | |
batch_norm { | |
train: true, | |
scale: true, | |
center: true, | |
decay: 0.97, | |
epsilon: 0.001, | |
} | |
} | |
override_base_feature_extractor_hyperparams: true | |
} | |
loss { | |
classification_loss { | |
weighted_sigmoid_focal { | |
alpha: 0.75, | |
gamma: 2.0 | |
} | |
} | |
localization_loss { | |
weighted_smooth_l1 { | |
delta: 1.0 | |
} | |
} | |
classification_weight: 1.0 | |
localization_weight: 1.0 | |
} | |
normalize_loss_by_num_matches: true | |
normalize_loc_loss_by_codesize: 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: { | |
fine_tune_checkpoint_version: V2 | |
fine_tune_checkpoint: "<<PUT YOUR PATH HERE /mobilenet_v2/mobilenet_v2.ckpt-1>>" | |
fine_tune_checkpoint_type: "classification" | |
batch_size: 48 | |
sync_replicas: true | |
startup_delay_steps: 0 | |
replicas_to_aggregate: 8 | |
num_steps: 5000 | |
data_augmentation_options { | |
random_horizontal_flip { | |
} | |
} | |
data_augmentation_options { | |
ssd_random_crop { | |
} | |
} | |
optimizer { | |
momentum_optimizer: { | |
learning_rate: { | |
cosine_decay_learning_rate { | |
learning_rate_base: .8 | |
total_steps: 50000 | |
warmup_learning_rate: 0.13333 | |
warmup_steps: 2000 | |
} | |
} | |
momentum_optimizer_value: 0.9 | |
} | |
use_moving_average: false | |
} | |
max_number_of_boxes: 100 | |
unpad_groundtruth_tensors: false | |
} | |
train_input_reader: { | |
label_map_path: "<<PUT YOUR PATH HERE /workspace/datasets/SKU110K/labelmap.pbtxt >>" | |
tf_record_input_reader { | |
input_path: "<<PUT YOUR PATH HERE workspace/datasets/SKU110K/train_1.record >>" | |
} | |
} | |
eval_config: { | |
metrics_set: "coco_detection_metrics" | |
use_moving_averages: false | |
} | |
eval_input_reader: { | |
label_map_path: "<<PUT YOUR PATH HERE /workspace/datasets/SKU110K/labelmap.pbtxt >>" | |
shuffle: false | |
num_epochs: 1 | |
tf_record_input_reader { | |
input_path: "<<PUT YOUR PATH HERE /workspace/datasets/SKU110K/test.record >>" | |
} | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment