| LR: 0.5 | |
| UD: 0.0 | |
| batch_size: 16 | |
| brightness: 0.25 | |
| classifier: resnet18 | |
| config_file: null | |
| contrast: 0.1 | |
| crop_size: !!python/tuple | |
| - 256 | |
| - 256 | |
| dali: true | |
| data_dir: /media/jim/FASTER/kinetics700 | |
| dataset: kinetics | |
| degrees: 10 | |
| distributed: false | |
| early_stopping_begins: null | |
| final_activation: softmax | |
| flow_generator: MotionNet | |
| flow_loss: MotionNet | |
| flow_max: 5 | |
| fp16: false | |
| gpu_id: 1 | |
| input_images: 11 | |
| inputs: rgb | |
| lr: 0.0001 | |
| milestones: | |
| - 50 | |
| - 100 | |
| - 150 | |
| - 200 | |
| - 250 | |
| - 300 | |
| min_lr: 5.0e-07 | |
| model: flow_generator | |
| model_dir: models | |
| name: kinetics | |
| normalization: | |
| flow: | |
| N: 2097152000000 | |
| mean: null | |
| std: null | |
| rgb: | |
| N: 209715200000 | |
| mean: | |
| - 0.4345759153366089 | |
| - 0.39914101362228394 | |
| - 0.37257176637649536 | |
| std: | |
| - 0.2809292674064636 | |
| - 0.27423909306526184 | |
| - 0.27391594648361206 | |
| notes: dali_only_3_resolutions | |
| num_epochs: 1000 | |
| num_flows: null | |
| num_rgb: 11 | |
| num_workers: 8 | |
| pad: null | |
| patience: 10 | |
| preset: null | |
| project_dir: null | |
| random_resize: false | |
| reduction_factor: !!python/object/apply:numpy.core.multiarray.scalar | |
| - !!python/object/apply:numpy.dtype | |
| args: | |
| - f8 | |
| - 0 | |
| - 1 | |
| state: !!python/tuple | |
| - 3 | |
| - < | |
| - null | |
| - null | |
| - null | |
| - -1 | |
| - -1 | |
| - 0 | |
| - !!binary | | |
| D0lIYhM91D8= | |
| reload_split: true | |
| resize: null | |
| scheduler: plateau | |
| should_overwrite_args: false | |
| should_viz: true | |
| splitfile: null | |
| steps_per_epoch: 1000 | |
| steps_per_test_epoch: 20 | |
| steps_per_validation_epoch: 1000 | |
| stopping_type: plateau | |
| train_val_test_split: | |
| - 0.8 | |
| - 0.2 | |
| - 0.0 | |
| weight_loss: true | |
| weights: null | |