stgcn_mc2 Namespace Reference

Variables
	model
list	collect_keys = ['keypoints', 'label_action', 'label_pose']
	loss
	data_loader
	train
	test

Variable Documentation

collect_keys

list stgcn_mc2.collect_keys = ['keypoints', 'label_action', 'label_pose']

Definition at line 32 of file stgcn_mc2.py.

data_loader

stgcn_mc2.data_loader

Initial value:

=  dict(
    type = 'ActionDatasetLoader',
    train_data_folder = '/media/safemotion/HDD5/pjm_test/action_mc_train/1st/train',
    test_data_folder = '/media/safemotion/HDD5/pjm_test/action_mc_train/1st',
    use_normalize = True,
)

Definition at line 54 of file stgcn_mc2.py.

loss

stgcn_mc2.loss

Initial value:

=  dict(
    CrossEntropyLoss = dict(
        weight = 1.0,
        weights = [1.0, 0.5],
        pred_keys = ['action', 'pose'],
        gt_keys = ['label_action', 'label_pose'],
        data_num = dict(action = [100, 100, 100, 24, 100, 34, 3, 100, 100], pose = [98, 517, 11, 35])
    )
)

Definition at line 44 of file stgcn_mc2.py.

model

stgcn_mc2.model

Definition at line 1 of file stgcn_mc2.py.

test

stgcn_mc2.test

Initial value:

=  dict(
    model_path = '/media/safemotion/HDD5/pjm_test/action_train_mc_test2/weights/1368.pth',
    save_root = '',
)

Definition at line 76 of file stgcn_mc2.py.

train

stgcn_mc2.train

Initial value:

=  dict(
    num_workers = 8,
    init_lr = 0.1,
    batch_size = 32,
    epochs = 3000,
    optimizer = 'SGD',
    optimizer_args = dict(momentum=0.9, nesterov=True, weight_decay=0.0001),
    adjust_lr_epoch = [500, 1000, 1500, 2000],
    adjust_lr_rate = [0.1]*4,
    val_interval = 1,
    
    pretrained = None,#'/media/safemotion/HDD5/pjm_test/action_train_test2/9.pth',
    save_root = '/media/safemotion/HDD5/pjm_test/action_train_mc_test2',
)

Definition at line 61 of file stgcn_mc2.py.