Giter Site home page Giter Site logo

The use of dataset about bi-box_regression HOT 5 OPEN

rainofmine avatar rainofmine commented on June 29, 2024
The use of dataset

from bi-box_regression.

Comments (5)

msha096 avatar msha096 commented on June 29, 2024

I used the Caltech dataset for training. My method is not convenient, I use the matlab toolbox to transfer .vbb and .seq file to jpg and .txt/.csv first. (There are lots of blogs about this). (https://blog.csdn.net/a2008301610258/article/details/45873867) one of the blogs I read and referenced.

Then I write code to transfer to the format I want to feed this model.

from bi-box_regression.

zhangts1 avatar zhangts1 commented on June 29, 2024

I used the Caltech dataset for training. My method is not convenient, I use the matlab toolbox to transfer .vbb and .seq file to jpg and .txt/.csv first. (There are lots of blogs about this). (https://blog.csdn.net/a2008301610258/article/details/45873867) one of the blogs I read and referenced.

Then I write code to transfer to the format I want to feed this model.

Thank you very much for your reply. I have used the method mentioned above before.Now I have extracted.jpg and.txt with the code given by the official website of California institute of technology. Could you please share the code of your conversion format? Thank you very much!

from bi-box_regression.

zhangts1 avatar zhangts1 commented on June 29, 2024

I used the Caltech dataset for training. My method is not convenient, I use the matlab toolbox to transfer .vbb and .seq file to jpg and .txt/.csv first. (There are lots of blogs about this). (https://blog.csdn.net/a2008301610258/article/details/45873867) one of the blogs I read and referenced.

Then I write code to transfer to the format I want to feed this model.

I have seen the blog you quoted. Does this blog have only the annotations of the whole pedestrian box and no annotations of the visible part?

from bi-box_regression.

msha096 avatar msha096 commented on June 29, 2024

I used the Caltech dataset for training. My method is not convenient, I use the matlab toolbox to transfer .vbb and .seq file to jpg and .txt/.csv first. (There are lots of blogs about this). (https://blog.csdn.net/a2008301610258/article/details/45873867) one of the blogs I read and referenced.
Then I write code to transfer to the format I want to feed this model.

I have seen the blog you quoted. Does this blog have only the annotations of the whole pedestrian box and no annotations of the visible part?

Yes the blog only have full box, you need to change a little bit in the official Matlab tool box to get visible box info.
Changing format code is really case by case and every time I will change the code to fit different requirements.

from bi-box_regression.

zhangts1 avatar zhangts1 commented on June 29, 2024

I used the Caltech dataset for training. My method is not convenient, I use the matlab toolbox to transfer .vbb and .seq file to jpg and .txt/.csv first. (There are lots of blogs about this). (https://blog.csdn.net/a2008301610258/article/details/45873867) one of the blogs I read and referenced.
Then I write code to transfer to the format I want to feed this model.

I have seen the blog you quoted. Does this blog have only the annotations of the whole pedestrian box and no annotations of the visible part?

Yes the blog only have full box, you need to change a little bit in the official Matlab tool box to get visible box info.
Changing format code is really case by case and every time I will change the code to fit different requirements.

Thank you very much for your help!

from bi-box_regression.

Related Issues (10)

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.