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ZhiHao Cao
d2013ae461
|
2 years ago | |
|---|---|---|
| .idea | 3 years ago | |
| PAPC | 2 years ago | |
| data | 3 years ago | |
| .gitignore | 3 years ago | |
| LICENSE | 3 years ago | |
| README.md | 2 years ago | |
| README_CN.md | 3 years ago | |
| requirements.txt | 3 years ago | |
| train.py | 3 years ago | |
README.md
English | 简体中文
PAPC
Welcome to PAPC(Paddle PointCloud) which is a deep learning for point clouds platform based on pure PaddlePaddle.
Show
Model Zoo
Clas
Seg
Detect
Dataset
Based on ShapeNet dataset(.h5 format). Support custom dataset(data format refered to ShapeNet dataset).
Installation
Step 1. Install PaddlePaddle
System Requirements:
- PaddlePaddle >= 2.0.0rc
- Python >= 3.6+
Highly recommend you install the GPU version of PaddlePaddle, due to large overhead of pointcloud models, otherwise it could be out of memory while running the models. For more detailed installation tutorials, please refer to the official website of PaddlePaddle。
Step 2. Download PAPC repo
git clone https://github.com/AgentMaker/PAPC.git
Training
Help For Training
python train.py --help
Quick Training
python train.py
Better Experience
This project is mounted on Baidu AIStudio which provides a free GPU environment like Google Colab. You can run this project on it for free.
Url1: Origin PAPC Project
Url2: PAPC Project
Contact us
Email : agentmaker@163.com
QQ Group : 1005109853
