dota_sample_config.yml

mission-name: "Hawk-Test" # Mission identifier
train-location: scout
label-mode: script # type of labeling interface
scouts: # list of addresses of scouts
- scout1example.cscmu.edu
- scout2example.cs.cmu.edu
- scout3example.cs.cmu.edu
scout-params: # directory on scouts where data, models and logs of mission are saved
  mission_dir: /path/to/mission_directory/on/scouts
home-params:
  mission_dir: /path/to/mission_directory/on/home # directory where inbound and outbound data stored @ home
dataset:
  type: random # type of input data
  stream_path: /home/path/to/stream/file/stream.txt # path on home of stream path
  index_path: /path/to/index/file/on/scouts # path on scout of index file
  tiles_per_frame: 180 # number of tiles per frame if random sampling
retrain_policy:
  type: percentage # type of retrain condition
  only_positives: true # if only positives are counted
  threshold: 0.33 # percentage of increment : 0.33
train_strategy:
  type: dnn_classifier # type of model training
  initial_model_path:  /path/to/initial/model/init_model.pth # path to intial model on  home
  bootstrap_path: /path/to/bootstrap/zip/on/home/bootstrap.zip  # path to compressed  bootstrapzipfile @ home (0/* and 1/*)
  args:
    mode: hawk # hawk / oracale/ notional
    arch: resnet50 # DNN model architecture
    unfreeze_layers: '3'
    batch-size: '64'
    online_epochs: "15"
    initial_model_epochs: "15"
selector:
  type: topk # type of selective transmission
  topk:
    k: 4
    batchSize: 1000
reexamination:
  type: top # type of reexamination strategy
  k: 100
bandwidth: 12