current_configs.yaml

MFnet:
    feature_root: /home/datasets/Charades/Charades_MFnet_32unit_stride8_merged/
    feature_dim: 768
    ft_window_size: 32
    ft_overlap: 0.75
C3D:
    feature_root: /home/datasets/Charades/C3D_unit16_overlap0.5_merged/
    feature_dim: 4096
    ft_window_size: 16
    ft_overlap: 0.5
I3D:
    feature_root: /home/datasets/Charades/I3d_resnet50_unit64_overlap0.875_merged/
    feature_dim: 2048
    ft_window_size: 64
    ft_overlap: 0.875

# ======================================= Learning configs ==================================
dataset: Charades
feature_type: C3D
props_file_path: ./data/dataset/Charades/Charades_MAN_32_props.txt
glove_weights: ./data/glove_weights
n_epoch: 50
batch_size: 32
test_batch_size: 16
lr: 0.001
loss_weights: 0.5
clip_gradient: 0.5
loss_type: iou
lstm_layers: 1
hidden_dim: 512
embedding: 300
node_ft_dim: 1024
graph_num_layers: 3
nodeUpdate_dropout: 0.0
edgeUpdate_dropout: 0.0
start_epoch: 0
weight_decay: 5e-4
pos_thr: 0.5
neg_thr: 0.1

  # ======================================= Backbone configs ==================================
first_output_dim: 256
  # ======================================= FPN configs ==================================
fpn_feature_dim: 512
fpn_stride: [1, 2, 4]
  # ======================================= FCOS configs ==================================
fcos_conv_layers: 1
fcos_prior_prob: 0.01
fcos_loss_alpha: 0.25
fcos_loss_gamma: 2.0
fcos_inference_thr: 0.05
fcos_pre_nms_top_n: 32
fcos_nms_thr: 0.6
fcos_num_class: 2
test_detections_per_img: 32





  # ======================================= Print and snapshot configs ==================================
snapshot_pref: exps/test_stage1_0719/
print_freq: 50
eval_freq: 1