Hi, I wanna ask if there are any code versions which is available for training or testing on a custom dataset. It seems that the current code doesn't support this and the format of data is not stated.
It would be really helpful if you can give the code for converting to your data format, or a note on how to organize the data files to run the code. Thank you in advance!

Hi,thank you for your open source of your great work!
I trained the MoCoDAD model on the Avenue dataset using the readme file, and then run the Evaluation ,The accuracy is 86.3%.
But I use the pretrained models and then run the Evaluation ,The accuracy can be 89%. I trained the model according to the default parameters in the mocodad_train.yaml file. So I am not sure what the problem is.
I see that the "use_hr" parameter in the mocodad_train.yaml file is false. Should I set this parameter to True during the training process?
I hope you can take some time to answer my question. Thank you very much!

Hi,thank you for your open source of your great work!
Recently I was reading your open source code and found that affine transformation was performed on the original coordinates during the processing of the dataset. What impact does this have on the results? Which paper did you use the affine transformation based on the results of?I want to study the impact of this transformation on the results.thank you!

Hi, thank you for your work!
At your provided GDRive link you provide the Avenue, HR-ShanghaiTech and UBnormal data.
Are the test_frame_masks already HR-related or not?

Also according to you code in get_hr_ubnormal_mask() in the line path_to_boolean_masks = f'./data/UBnormal/hr_bool_masks/{split}/test_frame_mask/*' the folder hr_bool_masks should be in the UBnormal dataset. However, there is no such folder in the GDRive download.

Thank you in advance!

I would like to ask some questions about the dataset. In the process of testing, for example, in the dataset of shanghaiHR, there is only a small part of gt data, while there are a lot of data for testing. How do you finally make the test data correspond to gt data？

Hi,thank you for your open source of your great work!
However,when i Test MoCoDAD by running the code

python` eval_MoCoDAD.py --config /args.exp_dir/args.dataset_choice/args.dir_name/config.yaml,

I have the following error,

File "/workspace/MoCoDAD/eval_MoCoDAD.py", line 39, in out = trainer.test(model, dataloaders=loader, ckpt_path=ckpt_path)
IsADirectoryError: [Errno 21] Is a directory: '/workspace/MoCoDAD/checkpoints/HR-Avenue/train_experiment'.

How can I solve the problem,hope for your answer,thank you!

Hi,thank you for your open source of your great work!
When I want to validate on HR-STC and UBnormal datasets, ValueError: need at least one array to stack. It could be an error caused by the dataset. What should I do? thank you!

Hello, this project is awesome.
I'm testing your checkpoints. And ckecked HR-Avenue, HR-STC, and UBnormal.
However, I could find error about there is no UBnormal-hr_bool_masks-trajectories.
It can test only test_frame_mask? or how can I test HR-UBnormal?

how is the historical human posture sequence obtained ?

Dear author, since I am not familiar with the training steps, after downloading the UBnorma data set locally and using your readme file to train, I found the following error:
(simclr) C:\Users\34252\Desktop\MoCoDAD-main>python train_MoCoDAD.py --config config/UBnormal/mocodad_train.yaml
Namespace(config='config/UBnormal/mocodad_train.yaml')
config/UBnormal/mocodad_train.yaml
Experiment directories created in ./checkpoints\UBnormal\train_experiment
'cp' is not an internal or external command, nor a runnable program
Or batch files.
Seed set to 999
Traceback (most recent call last):
File "C:\Users\34252\Desktop\MoCoDAD-main\train_MoCoDAD.py", line 65, in
_, train_loader, _, val_loader = get_dataset_and_loader(args, split=args.split, validation=args.validation)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\34252\Desktop\MoCoDAD-main\utils\dataset.py", line 310, in get_dataset_and_loader
dataset = PoseDatasetRobust(path_to_data=args.data_dir,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\34252\Desktop\MoCoDAD-main\utils\dataset.py", line 223, in init
arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\34252.conda\envs\simclr\Lib\site-packages\numpy\lib\npyio.py", line 999, in _read
arr = _load_from_filelike(
^^^^^^^^^^^^^^^^^^^^
UnicodeDecodeError: 'gbk' codec can't decode byte 0xc0 in position 51: illegal multibyte sequence
I would like to know how to set up the data set structure if I only train on the ubnor data set and use the validation set to identify abnormal behavior.Looking forward to your early reply！I would be appreciated it！