Skip to content
master
Switch branches/tags
Code

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
Aug 6, 2017
Aug 6, 2017
Aug 6, 2017

SegLink

Detecting Oriented Text in Natural Images by Linking Segments (https://arxiv.org/abs/1703.06520).

Prerequisites

The project is written in Python3 and C++ and relies on TensorFlow v1.0 or newer. We have only tested it on Ubuntu 14.04. If you are using other Linux versions, we suggest using Docker. CMake (version >= 2.8) is required to compile the C++ code. Install TensorFlow (GPU-enabled) by following the instructions on https://www.tensorflow.org/install/. The project requires no other Python packages.

On Ubuntu 14.04, install the required packages by

sudo apt-get install cmake
sudo pip install --upgrade tensorflow-gpu

Installation

The project uses manage.py to execute commands for compiling code and running training and testing programs. For installation, execute

./manage.py build_op

in the project directory to compile the custom TensorFlow operators written in C++. To remove the compiled binaries, execute

./manage.py clean_op

Dataset Preparation

See ``tool/create_datasets.py''

Training

./manage.py <exp-directory> train

Evaluation

See ``evaluate.py''

About

Detecting text by linking segments.

Resources

Releases

No releases published

Packages

No packages published

Languages