nonlocal.txt

[MODEL]
name = "NONLOCAL"
num_classes = 400
image_mean = 114.75
image_std = 57.375
depth = 50
dataset = 'kinetics400'
video_arc_choice = 1
use_affine = False
fc_init_std = 0.01
bn_momentum = 0.9
bn_epsilon = 1.0e-5
bn_init_gamma = 0.

[RESNETS]
num_groups = 1
width_per_group = 64
trans_func =  bottleneck_transformation_3d

[NONLOCAL]
bn_momentum = 0.9
bn_epsilon = 1.0e-5
bn_init_gamma = 0.0
layer_mod = 2
conv3_nonlocal = True
conv4_nonlocal = True
conv_init_std = 0.01
no_bias = 0
use_maxpool = True
use_softmax = True
use_scale = True
use_zero_init_conv = False
use_bn = True
use_affine = False

[TRAIN]
num_reader_threads = 8
batch_size = 64
num_gpus = 8
filelist = './dataset/nonlocal/trainlist.txt'
crop_size = 224
sample_rate = 8
video_length = 8
jitter_scales = [256, 320]

dropout_rate = 0.5

learning_rate = 0.01
learning_rate_decay = 0.1
step_sizes = [150000, 150000, 100000]
max_iter = 400000

weight_decay = 0.0001
weight_decay_bn = 0.0
momentum = 0.9
nesterov = True
scale_momentum = True

[VALID]
num_reader_threads = 8
batch_size = 64
filelist = './dataset/nonlocal/vallist.txt'
crop_size = 224
sample_rate = 8
video_length = 8
jitter_scales = [256, 320]

[TEST]
num_reader_threads = 8
batch_size = 4
filelist = 'dataset/nonlocal/testlist.txt'
filename_gt = 'dataset/nonlocal/vallist.txt'
checkpoint_dir = './output'
crop_size = 256
sample_rate = 8
video_length = 8
jitter_scales = [256, 256]
num_test_clips = 30
dataset_size = 19761
use_multi_crop = 1

[INFER]
num_reader_threads = 8
batch_size = 1
filelist = 'dataset/nonlocal/inferlist.txt'
crop_size = 256
sample_rate = 8
video_length = 8
jitter_scales = [256, 256]
num_test_clips = 30
use_multi_crop = 1