78 lines
2.2 KiB
Markdown
78 lines
2.2 KiB
Markdown
<!--
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* @Date: 2021-06-28 14:09:50
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* @Author: Qing Shuai
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* @LastEditors: Qing Shuai
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* @LastEditTime: 2021-06-28 19:28:14
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* @FilePath: /EasyMocapRelease/doc/mvmp.md
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-->
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# EasyMocap - mvmp
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This code aims to solve the problem of reconstructing multiple persons from multiple calibrated cameras. The released code is an easy-to-use version. See [Advanced](#Advanced) for more details.
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## 0. Preparation
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Prepare your calibrated and synchronized system by yourself.
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You can download our dataset [here](https://zjueducn-my.sharepoint.com/:u:/g/personal/s_q_zju_edu_cn/EZFGgpK2Y6RBkPbGvny_PC0BIS08qJvxGYEHYopjhHX_TQ?e=LY3pgm).
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```bash
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├── intri.yml
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├── extri.yml
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├── annots
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│ ├── 0
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│ ├── 1
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│ ├── 2
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│ ├── 3
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│ ├── 4
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│ ├── 5
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│ ├── 6
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│ └── 7
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└── videos
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├── 0.mp4
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├── 1.mp4
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├── 2.mp4
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├── 3.mp4
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├── 4.mp4
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├── 5.mp4
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├── 6.mp4
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└── 7.mp4
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```
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Extract the images from videos:
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```bash
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data=/path/to/data
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python3 scripts/preprocess/extract_video.py ${data} --no2d
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```
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## 1. Reconstucting human pose
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This step will reconstruct the human pose in each frame.
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```bash
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python3 apps/demo/mvmp.py ${data} --out ${data}/output --annot annots --cfg config/exp/mvmp1f.yml --undis --vis_det --vis_repro
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```
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## 2. Recovering SMPL body model
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First we should tract the human pose in each frame. This step will track and interpolate missing frames.
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```bash
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python3 apps/demo/auto_track.py ${data}/output ${data}/output-track --track3d
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```
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Then we can fit SMPL model to the tracked keyponts:
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```bash
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python3 apps/demo/smpl_from_keypoints.py ${data} --skel ${data}/output-track/keypoints3d --out ${data}/output-track/smpl --verbose --opts smooth_poses 1e1
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```
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To visualize the results, see [visualization tutorial](./doc/realtime_visualization.md)
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## Advanced
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For more complicated scenes, our lab has a real-time version of this algorithm, which can perform 3D reconstruction and tracking simultaneously.
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If you want to use this part for commercial queries, please contact [Xiaowei Zhou](mailto:xwzhou@zju.edu.cn).
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https://user-images.githubusercontent.com/22812405/123629197-968c0080-d846-11eb-8417-4e6d3a65466d.mp4
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