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bmn.yaml
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50 lines (46 loc) · 904 Bytes
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MODEL:
name: "BMN"
tscale: 100
dscale: 100
feat_dim: 400
prop_boundary_ratio: 0.5
num_sample: 32
num_sample_perbin: 3
anno_file: "./activitynet_1.3_annotations.json"
feat_path: "./fix_feat_100"
TRAIN:
subset: "train"
epoch: 9
use_gpu: True
num_gpus: 4
batch_size: 16
num_workers: 4
use_shuffle: True
learning_rate: 0.001
learning_rate_decay: 0.1
lr_decay_iter: 4200
l2_weight_decay: 1e-4
VALID:
subset: "validation"
num_gpus: 4
batch_size: 16
num_workers: 4
TEST:
subset: "validation"
batch_size: 1
num_workers: 4
snms_alpha: 0.001
snms_t1: 0.5
snms_t2: 0.9
output_path: "output/EVAL/BMN_results"
result_path: "evaluate_results"
INFER:
subset: "test"
batch_size: 1
num_workers: 4
snms_alpha: 0.4
snms_t1: 0.5
snms_t2: 0.9
filelist: './infer.list'
output_path: "output/INFER/BMN_results"
result_path: "predict_results"