facenet_cmd.txt

# Train normal softmax
python src/train_softmax.py \
--logs_base_dir ./logs/facenet/ \
--models_base_dir ./models/facenet/ \
--data_dir ./datasets/vggface2/vggface2_train_182/ \
--image_size 160 \
--model_def models.inception_resnet_v1 \
--lfw_dir ./datasets/lfw-aligned/ \
--optimizer ADAM \
--learning_rate -1 \
--max_nrof_epochs 500 \
--batch_size 90 \
--keep_probability 0.4 \
--random_flip \
--use_fixed_image_standardization \
--learning_rate_schedule_file data/learning_rate_schedule_classifier_vggface2.txt \
--weight_decay 5e-4 \
--embedding_size 512 \
--lfw_distance_metric 1 \
--lfw_use_flipped_images \
--lfw_subtract_mean \
--validation_set_split_ratio 0.01 \
--validate_every_n_epochs 5 \
--gpu_memory_fraction 0.2

# Train center loss
python src/train_softmax.py \
--logs_base_dir ./logs/facenet/ \
--models_base_dir ./models/facenet/ \
--data_dir ./datasets/vggface2/vggface2_train_182/ \
--image_size 160 \
--model_def models.inception_resnet_v1 \
--lfw_dir ./datasets/lfw-aligned/ \
--optimizer ADAM \
--learning_rate -1 \
--max_nrof_epochs 500 \
--batch_size 90 \
--keep_probability 0.4 \
--random_flip \
--use_fixed_image_standardization \
--learning_rate_schedule_file data/learning_rate_schedule_classifier_vggface2.txt \
--weight_decay 5e-4 \
--embedding_size 512 \
--lfw_distance_metric 1 \
--lfw_use_flipped_images \
--lfw_subtract_mean \
--validation_set_split_ratio 0.01 \
--validate_every_n_epochs 5 \
--gpu_memory_fraction 0.2 \
--center_loss_factor 0.01 \
--center_loss_alfa 0.9

# Validate on test set
python src/validate_on_lfw.py  \
./datasets/lfw-aligned/ \
./models/facenet/20200603-142308/ \
--distance_metric 1 \
--use_flipped_images \
--subtract_mean \
--use_fixed_image_standardization

# Align dataset
python src/align/align_dataset_mtcnn.py \
./datasets/vggface2/vggface2_test_182/ \
./datasets/vgg-align-96/ \
--image_size 96 \
--margin 44 \
--gpu_memory_fraction 0.4