# 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 PaddlePaddle installation in your Python interpreter >>> import paddle.fluid as fluid >>> fluid.install_check.run_check() # To check PaddlePaddle version python -c "import paddle; print(paddle.__version__)" ``` ### Requirements: - 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 running. 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 git clone https://github.com/PaddlePaddle/models cd models/PaddleCV/PaddleDetection ``` **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 [COCO](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 `dataset/coco` and `dataset/voc`, if the datasets are already available on disk, you can simply create symlinks to their directories: ``` ln -sf /dataset/coco ln -sf /dataset/voc ``` **Download datasets manually:** On the other hand, to download the datasets, run the following commands: - 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 `dataset/coco` or `dataset/voc`), PaddleDetection can automatically download them from [COCO-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)