81bbf66aab
* Add project code * Logger improvements * Improvements to web demo code * added create_wlasl_landmarks_dataset.py and xtract_mediapipe_landmarks.py * Fix rotation augmentation * fixed error in docstring, and removed unnecessary replace -1 -> 0 * Readme updates * Share base notebooks * Add notebooks and unify for different datasets * requirements update * fixes * Make evaluate more deterministic * Allow training with clearml * refactor preprocessing and apply linter * Minor fixes * Minor notebook tweaks * Readme updates * Fix PR comments * Remove unneeded code * Add banner to Readme --------- Co-authored-by: Gabriel Lema <gabriel.lema@xmartlabs.com>
25 lines
682 B
Bash
Executable File
25 lines
682 B
Bash
Executable File
#!/bin/sh
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python -m train \
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--save_checkpoints_every -1 \
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--experiment_name "augment_rotate_75_x8" \
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--epochs 10 \
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--optimizer "SGD" \
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--lr 0.001 \
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--batch_size 32 \
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--dataset_name "wlasl" \
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--training_set_path "WLASL100_train.csv" \
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--validation_set_path "WLASL100_test.csv" \
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--vector_length 32 \
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--epoch_iters -1 \
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--scheduler_factor 0 \
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--hard_triplet_mining "in_batch" \
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--filter_easy_triplets \
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--triplet_loss_margin 1 \
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--dropout 0.2 \
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--start_mining_hard=200 \
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--hard_mining_pre_batch_multipler=16 \
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--hard_mining_pre_batch_mining_count=5 \
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--augmentations_prob=0.75 \
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--hard_mining_scheduler_triplets_threshold=0 \
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# --normalize_embeddings \
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