Comments (8)
Thanks for your interest. We released several trained models in ./save_models/
.
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Thank you very much for the reply.
from shift-gcn.
Hi @kchengiva
It will be very kind if you could also provide 2 stream trained model. It will be very helpful for my thesis.
Sorry for the trouble, it takes days on my system to train.
from shift-gcn.
I'm sorry I couldn't be more helpful. We have deleted other saved models on our server.
from shift-gcn.
Thank you for the reply.
from shift-gcn.
Hello @kchengiva
I write the code like ./config/nturgbd-cross-subject/XXX.yaml to train the NTU 120 dataset, but my results can't achieve the results in the paper, and there is a certain gap.
Could you provide your . /config/XXX.yaml files of NTU120 and Kinetics? Thanks.
from shift-gcn.
Hello. The config
file of 1 stream NTU120 X-sub is as below. We have not trained on Kinetics.
Experiment_name: ntu120_ShiftGCN_joint_xsub
# feeder
feeder: feeders.feeder.Feeder
train_feeder_args:
data_path: ./data/ntu120/xsub/train_data_joint.npy
label_path: ./data/ntu120/xsub/train_label.pkl
debug: False
random_choose: False
random_shift: False
random_move: False
window_size: -1
normalization: False
test_feeder_args:
data_path: ./data/ntu120/xsub/val_data_joint.npy
label_path: ./data/ntu120/xsub/val_label.pkl
# model
model: model.shift_gcn.Model
model_args:
num_class: 120
num_point: 25
num_person: 2
graph: graph.ntu_rgb_d.Graph
graph_args:
labeling_mode: 'spatial'
#optim
weight_decay: 0.0001
base_lr: 0.1
step: [60, 80, 100]
# training
device: [0,1,2,3]
only_train_epoch: 1
batch_size: 64
test_batch_size: 64
num_epoch: 140
nesterov: True
from shift-gcn.
@kchengiva Thanks for your help.
from shift-gcn.
Related Issues (20)
- training and testing HOT 1
- is:issue is:open Hi!Thanks for your contribution to this job. It is a great job.However,I meet a error when i recurrence this project.It is"ModuleNotFoundError: No module named 'shift_cuda' ".what should i do about it,thanks. HOT 2
- Test set accuracy
- plotting learning training and validation graphs
- Does this source supports multi GPUs?
- RuntimeError: input.is_contiguous() HOT 3
- RuntimeError: Only Tensors of floating point dtype can require gradients HOT 3
- example accuracy
- custom dataset category
- a question about shift_Gcn
- cuda device
- RuntimeError: CUDA out of memory. HOT 1
- Demo image
- Why parallel the bone (hip-spine) to Z-axis
- Can not reproduce the result of shift-gcn in joint modality HOT 1
- Training with 90-frame data instead of 300-frame data
- no module named 'shift_cuda' ??
- AttributeError: 'Model' object has no attribute 'model'
- two issue 关于code
- pickle.load报错
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