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hcmoco's Issues

A question for Human3.6M dataset preparation

Hi,
I have a question about the human3.6m dataset preparation instruction on your readme(https://github.com/hongfz16/HCMoCo#5-human36m-dataset).
As I understand it, download the compressed file named protocol_1 from human3.6m dataset download page.
But there is no download link named protocol_1 in the page, I guess.
Could you kindly let me know what I should download from that page?
Thank you for your support and sharing your great work!

FileNotFoundError:[Error 2] No such file or directory"'/pycontrast/data/NTURGBD/NTURGBD//nturgb+d_rgb_warped_correction/S013C003P037R001A049/WRGB-00000010.jpg''

Hello I run the firststage command. But I got an error:
FileNotFoundError:[Error 2] No such file or directory"/pycontrast/data/NTURGBD/NTURGBD/nturgb+d_rgb_warped_correction/S013C003P037R001A049/WRGB-00000010.jpg''

after running train_ntumpiirgbd2s_hrnet_w18.sh,the question appeared. the file is different evert time.

I have runned /pycontrast/data/NTURGBD/preprocess_nturgbd.py and generated 51 directories about nturgb+d_rgb_warped_correction. but there are not enough for /pycontrast/data/NTURGBD/NTURGBD/nturgbd_flist_clear.txt which should be loaded for train dataset.

Additionally, aftering reading preprocess_nturgbd.py, I found the following:

(pdb) video_set.index((7,3))
15
(pdb) new_tags[15]
'S007C003P001R001A021'

(pdb)video_set.index((17,3))
151
(pdb) new_tags[151]
'S001C003P008R002A015'

It means 'S001C003P008R002A015' matched the homography matrix of setting'(17,3)', is it wrong?

Question about the setting

Hi, thanks for your interesting work.
I am confused about the setting. Does the setting use the same training data with HCMoCo for down-stream tasks? I mean are there any difference between the pre-training modalities and down-stream modality? Maybe, I miss something in the paper. But I do not find an apparent introduction. I might not understand this description well.

To evaluate HCMoCo, we transfer our pre-train model to four human-centric downstream tasks using different modalities,

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