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An error occurred while transforming the Human3.6M preprocessed dataset. #122

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xiao19971225 opened this issue Mar 8, 2020 · 13 comments
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@xiao19971225
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prepare_data_h36m.py:66: H5pyDeprecationWarning: The default file mode will change to 'r' (read-only) in h5py 3.0. To suppress this warning, pass the mode you need to h5py.File(), or set the global default h5.get_config().default_file_mode, or set the environment variable H5PY_DEFAULT_READONLY=1. Available modes are: 'r', 'r+', 'w', 'w-'/'x', 'a'. See the docs for details.
with h5py.File(f) as hf:
prepare_data_h36m.py:67: H5pyDeprecationWarning: dataset.value has been deprecated. Use dataset[()] instead.
positions = hf['3D_positions'].value.reshape(32, 3, -1).transpose(2, 0, 1)

Can you provide the following documents?
data_2d_h36m_gt.npz data_2d_h36m_sh_ft_h36m.npz data_2d_h36m_sh_pt_mpii.npz
data_3d_h36m.npz

@xiao19971225
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Then it is not a video.

python run.py -k cpn_ft_h36m_dbb -arc 3,3,3,3,3 -c checkpoint --evaluate pretrained_h36m_cpn.bin
Namespace(actions='*', architecture='3,3,3,3,3', batch_size=1024, bone_length_term=True, by_subject=False, causal=False, channels=1024, checkpoint='checkpoint', checkpoint_frequency=10, data_augmentation=True, dataset='h36m', dense=False, disable_optimizations=False, downsample=1, dropout=0.25, epochs=60, evaluate='pretrained_h36m_cpn.bin', export_training_curves=False, keypoints='cpn_ft_h36m_dbb', learning_rate=0.001, linear_projection=False, lr_decay=0.95, no_eval=False, no_proj=False, render=False, resume='', stride=1, subjects_test='S9,S11', subjects_train='S1,S5,S6,S7,S8', subjects_unlabeled='', subset=1, test_time_augmentation=True, viz_action=None, viz_bitrate=3000, viz_camera=0, viz_downsample=1, viz_export=None, viz_limit=-1, viz_no_ground_truth=False, viz_output=None, viz_size=5, viz_skip=0, viz_subject=None, viz_video=None, warmup=1)
Loading dataset...
Preparing data...
Loading 2D detections...
INFO: Receptive field: 243 frames
INFO: Trainable parameter count: 16952371
Loading checkpoint checkpoint\pretrained_h36m_cpn.bin
This model was trained for 80 epochs
INFO: Testing on 543344 frames
Evaluating...
----Directions----
Test time augmentation: True
Protocol #1 Error (MPJPE): 45.156178012348185 mm
Protocol #2 Error (P-MPJPE): 34.119459297758915 mm
Protocol #3 Error (N-MPJPE): 42.629377425350704 mm
Velocity Error (MPJVE): 2.9753523432121494 mm


----Discussion----
Test time augmentation: True
Protocol #1 Error (MPJPE): 46.67484980633454 mm
Protocol #2 Error (P-MPJPE): 36.12383959144466 mm
Protocol #3 Error (N-MPJPE): 45.07634816695338 mm
Velocity Error (MPJVE): 3.1058947768727285 mm

@lunalulu
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hi , https://www.dropbox.com/s/e35qv3n6zlkouki/h36m.zip is 404 now. Can you provide me the preprocessed data? email is [email protected],thanks very much~

@sumitsarkar1
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sumitsarkar1 commented Nov 24, 2020

I also need the data_3d_h36m.npz ..officially website says "account needs manual verification by admins"...my email id [email protected]

@xiao19971225
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xiao19971225 commented Nov 24, 2020 via email

@shineway14
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would you please send me one,thanks
[email protected]

@xiao19971225
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请给我寄一份,谢谢
[email protected]

which one?

@shineway14
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请给我寄一份,谢谢
[email protected]

which one?

data_3d_h36m.npz (174.2 M)

@RCpengnan
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would you please send me one,thanks [email protected]

@xiao19971225
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xiao19971225 commented Sep 3, 2021 via email

@RCpengnan
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RCpengnan commented Sep 3, 2021 via email

@muhabdulhaq
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If anyone have the the data_2d_h36m_gt.npz and data_3d_h36m.npz file, can you please share to me,
[email protected]

Thank you,

@mmahdavian
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Hi. I need data_2d_h36m_gt.npz and data_3d_h36m.npz file. I appreciate it if anyone could send me them.
[email protected]

@wenwen12321
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Hi, I need data using stacked hourglass detections.

But I can't run following script which provided by author

python prepare_data_2d_h36m_sh.py -pt h36m.zip
 python prepare_data_2d_h36m_sh.py -ft stacked_hourglass_fined_tuned_240.tar.gz

because I don't have both "h36m.zip" and "stacked_hourglass_fined_tuned_240.tar.gz" files.
I appreciate it if anyone could send me them.

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