KittiSeg.json

{
  "model": {
    "input_file": "../inputs/kitti_seg_input.py",
    "architecture_file" : "../encoder/fcn8_vgg.py",
    "objective_file" : "../decoder/kitti_multiloss.py",
    "optimizer_file" : "../optimizer/generic_optimizer.py",
    "evaluator_file" : "../evals/kitti_eval.py"
  },
  "path": ["../incl"],

  "data": {
    "train_file" : "data_road/train3.txt",
    "val_file" : "data_road/val3.txt",
    "road_color" : [255,0,255],
    "background_color" : [255,0,0],
    "vgg_url": "ftp://mi.eng.cam.ac.uk/pub/mttt2/models/vgg16.npy",
    "kitti_url": ""
  },
 
  "arch": {
    "fcn_in": "fc7",
    "num_classes" : 2,
    "image_size" : 50,
    "weight": [1, 1],
    "num_channels" : 3,
    "whitening": false
  },

  "jitter": {
    "random_resize": false,
    "lower_size": 0.4,
    "upper_size": 1.7,
    "sig": 0.15,
    "res_chance": 0.4,
    "random_crop": true,
    "max_crop": 32,
    "crop_patch": false,
    "patch_height": 256,
    "patch_width": 256,
    "crop_chance": 0.8,
    "fix_shape": false,
    "reseize_image": false,
    "image_height" : 384,
    "image_width" : 1248,

    "augment_level": 0
  },

  "logging": {
    "display_iter": 20,
    "eval_iter": 100,
    "write_iter": 100,
    "save_iter": 2000,
    "image_iter": 20000
  },

  "solver": {
      "opt": "Adam",
      "batch_size": 1,
      "epsilon": 0.000000001,
      "adam_eps": 0.00001,
      "threads": 4,
      "learning_rate": 1e-5,
      "learning_rate_step": null,
      "max_steps": 12000
  },
  "use_fc_wd": true,
  "loss": "xentropy",
  "clip_norm" : 1.0,
  "wd": 5e-4
}