Awesome
tf-sotd
tensorflow version "Self-organized Text Detection with Minimal Post-processing via Border Learning" <<<<<<< HEAD
feature
- support [x1, y1, x2, y2, x3, y3, x4, y4] format label
- integrate into east
- multitask training with east and sotd
Usage
- Downloads Resnet_v1 from here
- Organize your dataset
- train:
./train.sh - test:
./test_single_img.sh
Some Results
I train the model on my diy-dataset, and I test it on crowd text, here is a sample result from "沉默的大多数"
<div align="center"> <img src="samples/333.jpg" height="300px" alt="detection result" > <img src="samples/333.png" height="300px" alt="segmentation result" > </div>