From c9347cdebee8eab0b6e9ae71b9dc968e06090260 Mon Sep 17 00:00:00 2001 From: Jirka Date: Thu, 12 Aug 2021 09:50:02 +0200 Subject: [PATCH] update readme --- MANIFEST.in | 2 ++ README.md | 39 ++++++++++++++++++++++++--------- assets/image-class-samples.jpg | Bin 0 -> 253807 bytes assets/labels-pie.png | Bin 0 -> 12900 bytes assets/logging-loss.png | Bin 0 -> 16322 bytes assets/logging-metric.png | Bin 0 -> 21124 bytes 6 files changed, 31 insertions(+), 10 deletions(-) create mode 100644 assets/image-class-samples.jpg create mode 100644 assets/labels-pie.png create mode 100644 assets/logging-loss.png create mode 100644 assets/logging-metric.png diff --git a/MANIFEST.in b/MANIFEST.in index 8feb368..63ea42b 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -10,6 +10,8 @@ recursive-include kaggle_covid *.md # Include the license file include LICENSE +recursive-include assets *.jpg *.png + exclude *.sh exclude *.toml exclude *.svg diff --git a/README.md b/README.md index b8a5c9b..689c944 100644 --- a/README.md +++ b/README.md @@ -5,17 +5,36 @@ [![codecov](https://codecov.io/gh/Borda/kaggle_COVID-detection/branch/main/graph/badge.svg)](https://codecov.io/gh/Borda/kaggle_COVID-detection) [![pre-commit.ci status](https://results.pre-commit.ci/badge/github/Borda/kaggle_COVID-detection/main.svg)](https://results.pre-commit.ci/latest/github/Borda/kaggle_COVID-detection/main) -This is a simple template project to Kaggle participation... +In this competition, you’ll identify and localize COVID-19 abnormalities on chest radiographs. +In particular, you'll categorize the radiographs as negative for pneumonia or typical, indeterminate, or atypical for COVID-19. +Organizers provided dataset - imaging data and annotations from a group of radiologists. -### Expected content: +![Sample images](./assets/image-class-samples.jpg) -- a core package with functionalities used across scripts and notebooks -- tutorial/experiment notebooks (in _notebook_ folder if needed) -- \[optional\] some functionality testing aka unittests or doctests +In other words the task to solve is image classification accompanied by attention -### What to write here: +- user shall classify patient COVID19 situation and also tell why think so, what are the regions in the scan that makes him think this case is positive. -- simple completion description + link -- shortly what task it is to solve -- list/link online sources -- link kernels/submissions +![Label distribution](./assets/labels-pie.png) + +## Experimentation + +### install this tooling + +A simple way how to use this basic functions: + +```bash +! pip install https://github.com/Borda/kaggle_COVID-detection/archive/main.zip +``` + +### run notebooks in Kaggle + +- [COVID199 detection with Flash ⚡](https://www.kaggle.com/jirkaborovec/covid-detection-with-lightning-flash) +- [COVID199 detection - predictions](https://www.kaggle.com/jirkaborovec/covid-detection-with-lightning-flash-predictions) + +### some results + +Training progress with ResNet50 with training for 50 epochs: + +![Training process](./assets/logging-loss.png) +![Training process](./assets/logging-metric.png) diff --git a/assets/image-class-samples.jpg b/assets/image-class-samples.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8a15623c1a8198bc5ee11d8c5000daba6ff2f3f9 GIT binary patch literal 253807 zcmd42byQpbxAz%}yStYl#a)B9Xn~eeTuOmrg&+ljmE!IN+Tz8%6eqY-thh_iB7p=A z+9%)NojY@%JL|d6omun8oUEO!telmcowGmt?ETvB^LOFz27pXUO;ZhkfdK$updWz0 z%K%jX9u5vJ4mKVxE-pSk9sv;*F%cml5j_PZDHSsVD+@CN6B8Rykelr>KL-;NkJJ-> zVG(h0aaL{_d1+CQpqRMmKVO1@kB?78NJK|WOef0D#4h^(c>CK0AjiXUz>34fcno+% zj)6&z@wX4aiat(kjDKx_|6{{=go%ZXgNuhxK#1O=d|>UFJHfX zFDNW3E-5W5|5;bx(Ad=6(%RG8*FP{gH2iC7dS-TReqnJ5wz;*vv%B|a{{VShjAkRaqVB8{r4OT`G4iv|LNHO<<}B`2onQ+@-WE( zih!#dp6{Os{=YE3Tx1~w^l$c>1p& z3Kazhvc=zS1SVp{2ikN5;Td|TMJ8*{RPZnW2DsC|nC|j^2Vm8uKPW}e~0=kGE%&qv5%F=KK&t(Pwm}|1V&zQiyNFu zSd#%qBUX0LIr(-}VGawv;+*@lQR;yVp)-4*MZ5GYaXHUL_AlT?q>f3}aPtV&I4nEJ 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