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h36m-toolbox's Introduction

This code is built on top of https://github.com/anibali/h36m-fetch

Human3.6M is a 3D human pose dataset containing 3.6 million human poses and corresponding images. The scripts in this repository make it easy to download, extract, and preprocess the images and annotations from Human3.6M.

Please do not ask me for a copy of the Human3.6M dataset. I do not own the data, nor do I have permission to redistribute it. Please visit http://vision.imar.ro/human3.6m/ in order to request access and contact the maintainers of the dataset.

Requirements

Usage

  1. Firstly, you will need to create an account at http://vision.imar.ro/human3.6m/ to gain access to the dataset.
  2. Once your account has been approved, log in and inspect your cookies to find your PHPSESSID.
  3. Copy the configuration file config.ini.example to config.ini and fill in your PHPSESSID.
  4. download_all.py -> extract_all.py -> video_to_images.py -> generate_labels.py

License

The code in this repository is licensed under the terms of the Apache License, Version 2.0.

Please read the license agreement for the Human3.6M dataset itself, which specifies citations you must make when using the data in your own research. The file metadata.xml is directly copied from the "Visualisation and large scale prediction software" bundle from the Human3.6M website, and is subject to the same license agreement.

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h36m-toolbox's Issues

Asking for share of account for the h36m

Hello before using this github, I need account but they are not allowing me for a few months.
So if any one can share account, it will be really helpful. Thanks.

Joseph.

mask file in dataset

hello, i wonder how the mask is genereted? is it got by some auto-label method?

the checksum for Videos_S11.tgz has changed

One of the video files for subject 11 has been fixed by the Human3.6M dataset maintainers (S11/Videos/Directions.54138969.mp4). So the md5 value should be changed from 13a24f30eb4e7cc505cbf80410c90ffe to
25c25250be8f75d7991dcbf74bb9d339

What's the cameral_data.pkl

I do experiments in my own data but the R in pkl is different from my R. So how to generateed the inner parameters in camera data.pkl?

Error when running video_to_image.py

when running this code, there exists error FileNotFoundError: [WinError 2], and I don't know how to tackle it.
The detail message are as follows.
Traceback (most recent call last): File "video_to_images.py", line 40, in <module> call([ File "C:\Users\AppData\Local\Programs\Python\Python38\lib\subprocess.py", line 340, in call with Popen(*popenargs, **kwargs) as p: File "C:\Users\AppData\Local\Programs\Python\Python38\lib\subprocess.py", line 854, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, File "C:\Users\AppData\Local\Programs\Python\Python38\lib\subprocess.py", line 1307, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
Thank you very much!

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