| data: |
| image_resize_dims: |
| height: 256 |
| width: 256 |
| data_dir: ${LP_ROOT_PATH:}/data/mirror-mouse-fused |
| video_dir: ${data.data_dir}/videos |
| csv_file: CollectedData.csv |
| num_keypoints: 51 |
| keypoint_names: |
| - chin_tip_main |
| - chin3_4_main |
| - chin_half_main |
| - chin1_4_main |
| - chin_base_main |
| - head_main |
| - mid_main |
| - tail_neck_main |
| - caudal_v_main |
| - caudal_d_main |
| - pectoral_L_base_main |
| - pectoral_L_main |
| - pectoral_R_base_main |
| - pectoral_R_main |
| - dorsal_main |
| - anal_main |
| - fork_main |
| - chin_tip_top |
| - chin3_4_top |
| - chin_half_top |
| - chin1_4_top |
| - chin_base_top |
| - head_top |
| - mid_top |
| - tail_neck_top |
| - caudal_v_top |
| - caudal_d_top |
| - pectoral_L_base_top |
| - pectoral_L_top |
| - pectoral_R_base_top |
| - pectoral_R_top |
| - dorsal_top |
| - anal_top |
| - fork_top |
| - chin_tip_right |
| - chin3_4_right |
| - chin_half_right |
| - chin1_4_right |
| - chin_base_right |
| - head_right |
| - mid_right |
| - tail_neck_right |
| - caudal_v_right |
| - caudal_d_right |
| - pectoral_L_base_right |
| - pectoral_L_right |
| - pectoral_R_base_right |
| - pectoral_R_right |
| - dorsal_right |
| - anal_right |
| - fork_right |
| mirrored_column_matches: |
| - [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] |
| - [17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33] |
| - [34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50] |
| |
| columns_for_singleview_pca: |
| [4, 5, 6, 7, 8, 9, 14, 15, 16, 22, 23, 24, 38, 39, 40, 41, 42, 43, 48, 50] |
|
|
| training: |
| imgaug: dlc |
| train_batch_size: 8 |
| val_batch_size: 32 |
| test_batch_size: 32 |
| train_prob: 0.95 |
| val_prob: 0.05 |
| train_frames: 1 |
| num_gpus: 1 |
| unfreezing_epoch: 20 |
| min_epochs: 300 |
| max_epochs: 300 |
| log_every_n_steps: 10 |
| check_val_every_n_epoch: 5 |
| rng_seed_data_pt: 0 |
| rng_seed_model_pt: 0 |
| optimizer: Adam |
| optimizer_params: |
| learning_rate: 1e-3 |
| lr_scheduler: multisteplr |
| lr_scheduler_params: |
| multisteplr: |
| milestones: [150, 200, 250] |
| gamma: 0.5 |
|
|
| model: |
| losses_to_use: [] |
| backbone: resnet50_animal_ap10k |
| model_type: heatmap |
| heatmap_loss_type: mse |
| model_name: test_model |
|
|
| dali: |
| general: |
| seed: 123456 |
| base: |
| train: |
| sequence_length: 32 |
| predict: |
| sequence_length: 64 |
| context: |
| train: |
| batch_size: 16 |
| predict: |
| sequence_length: 64 |
|
|
| losses: |
| pca_multiview: |
| log_weight: 10.7 |
| components_to_keep: 3 |
| epsilon: null |
| pca_singleview: |
| log_weight: 10.7 |
| components_to_keep: 0.99 |
| epsilon: null |
| temporal: |
| log_weight: 10.7 |
| epsilon: 10.0 |
| prob_threshold: 0.05 |
|
|
| eval: |
| predict_vids_after_training: false |
| save_vids_after_training: false |
| test_videos_directory: ${data.video_dir} |
| confidence_thresh_for_vid: 0.90 |
|
|
| callbacks: |
| anneal_weight: |
| attr_name: total_unsupervised_importance |
| init_val: 0.0 |
| increase_factor: 0.01 |
| final_val: 1.0 |
| freeze_until_epoch: 60 |
|
|
