training code

Author: YuliangXiu

.gitignore

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 data/*/*
+data/thuman*
 !data/tbfo.ttf
 __pycache__
 debug/

README.md

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 <br />
 
 ## News :triangular_flag_on_post:
+- [2022/05/15] Training code is released, please check [Training Instruction](docs/training.md).
 - [2022/04/26] <a href="https://github.com/Jeff-sjtu/HybrIK">HybrIK (SMPL)</a> is supported as optional HPS by <a href="https://jeffli.site/">Jiefeng Li</a>.
 - [2022/03/05] <a href="https://github.com/YadiraF/PIXIE">PIXIE (SMPL-X)</a>, <a href="https://github.com/mkocabas/PARE">PARE (SMPL)</a>, <a href="https://github.com/HongwenZhang/PyMAF">PyMAF (SMPL)</a> are all supported as optional HPS.
 - [2022/02/07] <a href='https://colab.research.google.com/drive/1-AWeWhPvCTBX0KfMtgtMk10uPU05ihoA?usp=sharing' style='padding-left: 0.5rem;'><img src='https://colab.research.google.com/assets/colab-badge.svg' alt='Google Colab'></a> is ready to use.
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 - [x] colab notebook <a href='https://colab.research.google.com/drive/1-AWeWhPvCTBX0KfMtgtMk10uPU05ihoA?usp=sharing' style='padding-left: 0.5rem;'>
       <img src='https://colab.research.google.com/assets/colab-badge.svg' alt='Google Colab'>
     </a>
-- [x] dataset processing pipeline
-- [ ] training and evaluation codes
-- [ ] Video-to-Avatar module
+- [x] dataset processing
+  - [x] RGB/Normal Rendering
+  - [x] Visibility computing
+- [ ] training codes
+  - [x] ICON (w/ & w/o global encoder, w/ SMPL-X)
+  - [x] PIFu* (RGB image + predicted normal map as input)
+  - [ ] PaMIR* (RGB image + predicted normal map as input, w/ voxelized SMPL)
+- [ ] evaluation on CAPE (Hard, Easy)
 
 
 ## Installation
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 Please follow the [Data Preprocess Instruction](docs/dataset.md) to generate the train/val/test dataset from raw scans (THuman2.0).
 
+## Training
+Please follow the [Training Instruction](docs/training.md) to train your own model using THuman2.0.
+
 ## Demo
 
 ```bash