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jbohnslav
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deepethogram-tinymotionnet

PyTorch
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deepethogram
optical-flow
tinymotionnet
kinetics700
animal-behavior
pretrained
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xet
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deepethogram-tinymotionnet
File size: 3,043 Bytes
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LR: 0.5
UD: 0.0
batch_size: 32
brightness: 0.25
classifier: resnet18
config_file: null
contrast: 0.1
crop_size: !!python/tuple
- 256
- 256
data_dir: /mnt/VIDEOS2/kinetics700
dataset: kinetics
degrees: 10
distributed: false
early_stopping_begins: null
final_activation: softmax
flow_generator: TinyMotionNet
flow_loss: MotionNet
flow_max: 10
fp16: false
gpu_id: 1
input_images: 11
inputs: rgb
kinetics: true
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:
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    - 0.37257176637649536
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    - 0.37257176637649536
    - 0.4345759153366089
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    std:
    - 0.2809292674064636
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    - 0.2809292674064636
    - 0.27423909306526184
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notes: halfsize_fromscratch
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