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### General settings
name: LAFC_train
use_tb_logger: True
outputdir: /myData/ret/experiments/
datadir: /myData/
record_iter: 16
### Calling definition
model: lafc
datasetName_train: train_dataset_edge
network: network
### Datasets
datasets:
train:
name: youtubevos
type: video
mode: train
dataInfo_config: ./config/data_info.yaml
use_shuffle: True
n_workers: 0
batch_size: 4
val:
name: youtubevos
type: video
mode: val
use_shuffle: False
n_workers: 1
batch_size: 1
val_config: ./config/valid_config.yaml
### train settings
train:
lr: 0.0001
lr_decay: 0.1
manual_seed: 10
BETA1: 0.9
BETA2: 0.999
MAX_ITERS: 280000
UPDATE_INTERVAL: 120000
WARMUP: ~
val_freq: 1 # epoch为~M~U~M, set to 1 is for debug
### logger
logger:
PRINT_FREQ: 16
SAVE_CHECKPOINT_FREQ: 1 # 100 is for debug consideration
### Data related parameters
num_flows: 3
flow_interval: 3
sample: seq
use_edges: 0
### Model related parameters
PASSMASK: 1
use_bias: 1
init_weights: 1
cnum: 48
resBlocks: 1
edge_residuals: 4
conv_type: vanilla
in_channel: 3
use_residual: 1
gc: 0
rescale: 1
### Loss weights
L1M: 1
sm: 1
sm2: 1
edge_loss: 1
ternary: 0.01