DeepText is a convolutional neural network architecture for text detection in non-specific scenarios. The DeepText system is based on the elegant framwork of Faster R-CNN. This idea was proposed in the paper "DeepText: A new approach for text proposal generation and text detection in natural images.", published in 2017.
DeepText is a convolutional neural network architecture for text detection in non-specific scenarios. The DeepText system is based on the elegant framework of Faster R-CNN. This idea was proposed in the paper "DeepText: A new approach for text proposal generation and text detection in natural images.", published in 2017.
[Paper](https://arxiv.org/pdf/1605.07314v1.pdf) Zhuoyao Zhong, Lianwen Jin, Shuangping Huang, South China University of Technology (SCUT), Published in ICASSP 2017.
@ -74,7 +74,7 @@ Here we used 4 datasets for training, and 1 datasets for Evaluation.
├─anchor_genrator.py # anchor generator
├─bbox_assign_sample.py # proposal layer for stage 1
├─bbox_assign_sample_stage2.py # proposal layer for stage 2
├─deeptext_vgg16.py # main network defination
├─deeptext_vgg16.py # main network definition
├─proposal_generator.py # proposal generator
├─rcnn.py # rcnn
├─roi_align.py # roi_align cell wrapper
@ -83,7 +83,7 @@ Here we used 4 datasets for training, and 1 datasets for Evaluation.
├─config.py # training configuration
├─dataset.py # data proprocessing
├─lr_schedule.py # learning rate scheduler
├─network_define.py # network defination
├─network_define.py # network definition
└─utils.py # some functions which is commonly used
lvmingfu
4 years ago