Code Monkey home page Code Monkey logo

kaggle-right-whale's People

Contributors

anindya avatar felixlaumon avatar

Stargazers

avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar

Watchers

avatar avatar avatar avatar avatar avatar avatar avatar

Forkers

wavelets kinalabina zhangyangang xuanhan863 scatterbrain333 chentsulin arunpatala airxiechao x10khan owajawa adityosanjaya anindya lty2226262 fireae lesaffrea volpato30 ternaus burganovb stevenlol xiaozan-pku sailor01 minvex wuzhongdehua younfor walkoncross bx5974 john0xff oeeckhoutte jayinai happyphonon juanlp yanshanjing maroofmf vaddi79 missou33 ryutek agsarthak nagyistge mylearning2017 rahasayantan hsouporto robustfengbin zhangyang5511 salomefu hongfel3 ashishlal nikasa1889 thakurrajanand neuralnetworkingtechnologies zc0315 tusharbihani zbxzc35 afcarl jainnitk claudecoulombe nozhanb jennakeubank

kaggle-right-whale's Issues

Missing csv file?

Thanks for sharing this. create_cached_image.py requires training_image_annotations.csv, which is not present. Should we use the training_image_annotations_vinh.csv instead, using --vinh?

Also, please explain where these csv files of labels came from. Did you manually label the training images with bounding boxes around the whale callosities?

Thanks.

maybe tta will generate some duplicate imgs?

hello~
I saw your code in scripts/create_test_head_crop_image.py had these params below:
scale_choices = [0.75, 1, 1.25]
shear_choices = [-0.25, 0, 0.25]
rotation_choices = [0, 45, 90, 135, 180, 225, 270, 315, 360]
translation_choices = [-25, 0, 25]

I'm little confused about these params. When scale_choice=1 or shear_choices = 0 or translation_choices=0 or ratation=0, will that generate a img as same as the origin one? so the datasets will contain a lot of origin imgs.

is that on purpose？

Applying PCA During Feature Stacking?

Are you applying PCA at any stage during the feature stacking (in the iPython notebook)? In the file, max_dim appears to always be 'none', so the PCA is not being applied. Is that intentional? Thanks!

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.