Files
OpenGait/config/gaitgl.yaml
T
Junhao Liang bb6cd5149a 1.0.0 official release (#18)
* fix bug in fix_BN

* gaitgl OUMVLP support.

* update ./doc/3.advance_usage.md Cross-Dataset Evalution & Data Agumentation

* update config

* update docs.3

* update docs.3

* add loss doc and gather input decorator

* refine the create model doc

* support rearrange directory of unzipped OUMVLP

* fix some bugs in loss_aggregator.py

* refine docs and little fix

* add oumvlp pretreatment description

* pretreatment dataset fix oumvlp description

* add gaitgl oumvlp result

* assert gaitgl input size

* add pipeline

* update the readme.

* update pipeline and readme

* Corrigendum.

* add logo and remove path

* update new logo

* Update README.md

* modify logo size

Co-authored-by: 12131100 <12131100@mail.sustech.edu.cn>
Co-authored-by: noahshen98 <77523610+noahshen98@users.noreply.github.com>
Co-authored-by: Noah <595311942@qq.com>
2021-12-08 20:05:28 +08:00

68 lines
1.3 KiB
YAML

# Note : *** the batch_size should be equal to the gpus number at the test phase!!! ***
data_cfg:
dataset_name: CASIA-B
dataset_root: your_path
dataset_partition: ./misc/partitions/CASIA-B_include_005.json
num_workers: 1
remove_no_gallery: false
test_dataset_name: CASIA-B
evaluator_cfg:
enable_distributed: true
enable_float16: false
restore_ckpt_strict: true
restore_hint: 80000
save_name: GaitGL
sampler:
batch_size: 4
sample_type: all_ordered
type: InferenceSampler
loss_cfg:
- loss_term_weights: 1.0
margin: 0.2
type: TripletLoss
log_prefix: triplet
- loss_term_weights: 1.0
scale: 1
type: CrossEntropyLoss
log_accuracy: true
label_smooth: false
log_prefix: softmax
model_cfg:
model: GaitGL
channels: [32, 64, 128]
class_num: 74
optimizer_cfg:
lr: 1.0e-4
solver: Adam
weight_decay: 5.0e-4
scheduler_cfg:
gamma: 0.1
milestones:
- 70000
scheduler: MultiStepLR
trainer_cfg:
enable_distributed: true
enable_float16: false
log_iter: 100
restore_ckpt_strict: true
restore_hint: 0
save_iter: 10000
save_name: GaitGL
sync_BN: true
total_iter: 80000
sampler:
batch_shuffle: true
batch_size:
- 8
- 8
frames_num_fixed: 30
frames_skip_num: 0
sample_type: fixed_ordered
type: TripletSampler