Giter Club home page Giter Club logo

Comments (12)

Real-YeJ avatar Real-YeJ commented on July 28, 2024

@songyh10 we save the contour points of word-level text as txt file. It‘s easy to draw the contours on images by python.

from textfusenet.

songyh10 avatar songyh10 commented on July 28, 2024

Then how do you compare the performance of TextFuseNet with other methods on the benchmark datasets, e.g. ICDAR2015 or Total-Text? Do you have some existing relevant inference code or tools to make this performance comparison? Thanks! @Real-YeJ

from textfusenet.

Real-YeJ avatar Real-YeJ commented on July 28, 2024

@songyh10 ic15: https://rrc.cvc.uab.es/?ch=4 totaltext: https://github.com/cs-chan/Total-Text-Dataset

from textfusenet.

animesh-007 avatar animesh-007 commented on July 28, 2024

Then how do you compare the performance of TextFuseNet with other methods on the benchmark datasets, e.g. ICDAR2015 or Total-Text? Do you have some existing relevant inference code or tools to make this performance comparison? Thanks! @Real-YeJ

Hello @songyh10. Were you able to calculate F-measure, Recall, and Precision using this code. If so, Can you guide me on how to do the same?

from textfusenet.

Real-YeJ avatar Real-YeJ commented on July 28, 2024

@animesh-007 please pay attention to our update for evaluation

from textfusenet.

StudentChen avatar StudentChen commented on July 28, 2024

Then how do you compare the performance of TextFuseNet with other methods on the benchmark datasets, e.g. ICDAR2015 or Total-Text? Do you have some existing relevant inference code or tools to make this performance comparison? Thanks! @Real-YeJ

Hello @songyh10. Were you able to calculate F-measure, Recall, and Precision using this code. If so, Can you guide me on how to do the same?

hi,do you solve this problem? can you help me how to do the same? Thank you so much.

from textfusenet.

animesh-007 avatar animesh-007 commented on July 28, 2024

Then how do you compare the performance of TextFuseNet with other methods on the benchmark datasets, e.g. ICDAR2015 or Total-Text? Do you have some existing relevant inference code or tools to make this performance comparison? Thanks! @Real-YeJ

Hello @songyh10. Were you able to calculate F-measure, Recall, and Precision using this code. If so, Can you guide me on how to do the same?

hi,do you solve this problem? can you help me how to do the same? Thank you so much.

Hi @StudentChen. You can calculate these metrics by visiting the links provided in the evaluation in the readme.
After visiting those links you can find that they have provided a script for calculating these metrics.

from textfusenet.

StudentChen avatar StudentChen commented on July 28, 2024

Thank you you you,I will have a try according to your suggestion. So kind of you.

Then how do you compare the performance of TextFuseNet with other methods on the benchmark datasets, e.g. ICDAR2015 or Total-Text? Do you have some existing relevant inference code or tools to make this performance comparison? Thanks! @Real-YeJ

Hello @songyh10. Were you able to calculate F-measure, Recall, and Precision using this code. If so, Can you guide me on how to do the same?

hi,do you solve this problem? can you help me how to do the same? Thank you so much.

Hi @StudentChen. You can calculate these metrics by visiting the links provided in the evaluation in the readme.
After visiting those links you can find that they have provided a script for calculating these metrics.

Thank you you you,I will have a try according to your suggestion. So kind of you.

from textfusenet.

animesh-007 avatar animesh-007 commented on July 28, 2024

No problem. Let me know if you face any other issue. I will be happy to help.😇

from textfusenet.

StudentChen avatar StudentChen commented on July 28, 2024

from textfusenet.

animesh-007 avatar animesh-007 commented on July 28, 2024

hi,do you train this model by yourself? it needs the train dataset like the json file. do you get the train.json? Thank you for your answer.

------------------ 原始邮件 ------------------ 发件人: "ying09/TextFuseNet" <[email protected]>; 发送时间: 2021年1月7日(星期四) 中午11:04 收件人: "ying09/TextFuseNet"<[email protected]>; 抄送: "1571786636"<[email protected]>;"Mention"<[email protected]>; 主题: Re: [ying09/TextFuseNet] how to make inferences (#18) No problem. Let me know if you face any other issue. I will be happy to help.😇 — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.

Hi @StudentChen, yes you have to create json files in coco format.

from textfusenet.

StudentChen avatar StudentChen commented on July 28, 2024

from textfusenet.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.