Python-获取Human36M3D人体姿态数据集

# Human3.6M dataset fetcher [Human3.6M](http://vision.imar.ro/human3.6m/description.php) 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 * Python 3 * [`axel`](https://github.com/axel-download-accelerator/axel) * CDF Alternatively, a Dockerfile is provided which has all of the requirements set up. You can use it to run scripts like so: ```bash $ docker-compose run --rm --user="$(id -u):$(id -g)" main python3 <script> ``` ## 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. Use the `download_all.py` script to download the dataset, `extract_all.py` to extract the downloaded archives, and `process_all.py` to preprocess the dataset into an easier to use format. ## Frame sampling Not all frames are selected during the preprocessing step. We assume that the data will be used in the Protocol #2 setup (see ["Compositional Human Pose Regression"](https://arxiv.org/abs/1704.00159)), so for subjects S9 and S11 every 64th frame is used. For the training subjects (S1, S5, S6, S7, and S8), only "interesting" frames are used. That is, near-duplicate frames during periods of low movement are skipped. You can edit `select_frame_indices_to_include()` in `process_all.py` to change this behaviour. ## License The code in this repository is licensed under the terms of the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0). Please read the [license agreement](http://vision.imar.ro/human3.6m/eula.php) 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.