INSTALL.md

# Installation

---
## Table of Contents

- [Introduction](#introduction)
- [PaddlePaddle](#paddlepaddle)
- [Other Dependencies](#other-dependencies)
- [PaddleDetection](#paddle-detection)
- [Datasets](#datasets)


## Introduction

This document covers how to install PaddleDetection, its dependencies
(including PaddlePaddle), together with COCO and PASCAL VOC dataset.

For general information about PaddleDetection, please see [README.md](../README.md).


## PaddlePaddle

Running PaddleDetection requires PaddlePaddle Fluid v.1.5 and later. please follow the instructions in [installation document](http://www.paddlepaddle.org.cn/).

Please make sure your PaddlePaddle installation was successful and the version
of your PaddlePaddle is not lower than required. Verify with the following commands.

```
# To check if PaddlePaddle installation was sucessful
python -c "from paddle.fluid import fluid; fluid.install_check.run_check()"

# To check PaddlePaddle version
python -c "import paddle; print(paddle.__version__)"
```

### Requirements:

- Python2 or Python3
- CUDA >= 8.0
- cuDNN >= 5.0
- nccl >= 2.1.2


## Other Dependencies

[COCO-API](https://github.com/cocodataset/cocoapi):

COCO-API is needed for training. Installation is as follows:

    git clone https://github.com/cocodataset/cocoapi.git
    cd cocoapi/PythonAPI
    # if cython is not installed
    pip install Cython
    # Install into global site-packages
    make install
    # Alternatively, if you do not have permissions or prefer
    # not to install the COCO API into global site-packages
    python setup.py install --user


## PaddleDetection

**Clone Paddle models repository:**

You can clone Paddle models and change working directory to PaddleDetection
with the following commands:

```
cd <path/to/clone/models>
git clone https://github.com/PaddlePaddle/models
cd models/PaddleCV/object_detection
```

**Install Python dependencies:**

Required python packages are specified in [requirements.txt](./requirements.txt), and can be installed with:

```
pip install -r requirements.txt
```

**Make sure the tests pass:**

```
export PYTHONPATH=`pwd`:$PYTHONPATH
python ppdet/modeling/tests/test_architectures.py
```


## Datasets

PaddleDetection includes support for [MSCOCO](http://cocodataset.org) and [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) by default, please follow these instructions to set up the dataset.

**Create symlinks for local datasets:**

Default dataset path in config files is `data/coco` and `data/voc`, if the
datasets are already available on disk, you can simply create symlinks to
their directories:

```
ln -sf <path/to/coco> <path/to/paddle_detection>/data/coco
ln -sf <path/to/voc> <path/to/paddle_detection>/data/voc
```

**Download datasets manually:**

On the other hand, to download the datasets, run the following commands:

- MS-COCO

```
cd dataset/coco
./download.sh
```

- PASCAL VOC

```
cd dataset/voc
./download.sh
```

**Download datasets automatically:**

If a training session is started but the dataset is not setup properly (e.g,
not found in `data/coc` or `data/voc`), PaddleDetection can automatically
download them from [MSCOCO-2017](http://images.cocodataset.org) and
[VOC2012](http://host.robots.ox.ac.uk/pascal/VOC), the decompressed datasets
will be cached in `~/.cache/paddle/dataset/` and can be discovered automatically
subsequently.


**NOTE:** For further informations on the datasets, please see [DATA.md](DATA.md)