Spaces:
Running
Running
task_name: train | |
tags: | |
- dev | |
train: true | |
test: false | |
ckpt_path: null | |
seed: null | |
trainer: | |
_target_: pytorch_lightning.Trainer | |
default_root_dir: ${paths.output_dir} | |
accelerator: gpu | |
devices: 1 | |
deterministic: false | |
num_sanity_val_steps: 0 | |
log_every_n_steps: ${GENERAL.LOG_STEPS} | |
val_check_interval: ${GENERAL.VAL_STEPS} | |
check_val_every_n_epoch: ${GENERAL.VAL_EPOCHS} | |
precision: 16-mixed | |
max_steps: ${GENERAL.TOTAL_STEPS} | |
limit_val_batches: 80 | |
paths: | |
root_dir: ${oc.env:PROJECT_ROOT} | |
data_dir: ${paths.root_dir}/data/ | |
log_dir: logs/ | |
output_dir: ${hydra:runtime.output_dir} | |
work_dir: ${hydra:runtime.cwd} | |
extras: | |
ignore_warnings: false | |
enforce_tags: true | |
print_config: true | |
exp_name: AniMer | |
SMAL: | |
MODEL_PATH: ./data/my_smpl_00781_4_all.pkl | |
NUM_JOINTS: 34 | |
EXTRA: | |
FOCAL_LENGTH: 1000 | |
NUM_LOG_IMAGES: 4 | |
NUM_LOG_SAMPLES_PER_IMAGE: 4 | |
PELVIS_IND: 0 | |
MODEL: | |
USE_CLS: true | |
IMAGE_SIZE: 256 | |
IMAGE_MEAN: | |
- 0.485 | |
- 0.456 | |
- 0.406 | |
IMAGE_STD: | |
- 0.229 | |
- 0.224 | |
- 0.225 | |
BACKBONE: | |
TYPE: vit | |
SMAL_HEAD: | |
TYPE: transformer_decoder | |
IN_CHANNELS: 2048 | |
IEF_ITERS: 1 | |
TRANSFORMER_DECODER: | |
depth: 6 | |
heads: 8 | |
mlp_dim: 1024 | |
dim_head: 64 | |
dropout: 0.0 | |
emb_dropout: 0.0 | |
norm: layer | |
context_dim: 1280 | |