CRAFT-Reimplementation

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Hello. I experimented with the icdar2015 dataset by referring to the code you shared. The results of my experiments are not good(ICDAR2015 f1-score 0.78). Do you have any important tips...

woans0104

train with update code on synthData

2

https://github.com/backtime92/CRAFT-Reimplementation/blob/fbaa63aebd61c2b290752102cdef4758891b1fb7/loss/mseloss.py#L43 https://github.com/backtime92/CRAFT-Reimplementation/blob/fbaa63aebd61c2b290752102cdef4758891b1fb7/loss/mseloss.py#L44 Due to the frequent interruption of the company github connection, it is not convenient to update the readme. Now synthData can be trained according to the updated repo....

backtime92

Testing too slow

2

Hello sir, great job really it's amazing but the testing on 91.pth is really slow it takes around 37 sec per image using google colab any help pease??

AymanMIbrahim

您好，执行高斯图生成的时候会报错。

3

https://github.com/backtime92/CRAFT-Reimplementation/blob/fbaa63aebd61c2b290752102cdef4758891b1fb7/gaussianMap/gaussian.py#L199 报错如下： cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\imgproc\src\colormap.cpp:714: error: (-5:Bad argument) cv::ColorMap only supports source images of type CV_8UC1 or CV_8UC3 in function 'cv::colormap::ColorMap::operator ()'

zcswdt

Bumps [opencv-python](https://github.com/skvark/opencv-python) from 3.4.2.17 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...

dependabot[bot]

The QR code of the WeChat group has expired, can I update it?

lrjj

For training custom datasets first we need to label or annotate the data. Which tool or method we will used to label the data? What type of format should be...

rakshanaa

I found some mistakes in the way you in unwarp character unwarp the character bounding boxes

2

 I don't think it is the right logic code to match each character box location to real location in the original image. Here is my code: for j in...

shitvuive123

where is the synthdata.

9

i am very glad to see you have uploaded your training code.so i want to reproduce your result because of the paper's author did not release the training code. so...

ganliqiang

Can you give me the pretrain model for these datasets? These pretrain file is not working with your model. Thanks you a lot.

quyet0nguyen