Multi Label Classification using Resnet200D

A dockerised web app made using streamlit that predicts incorrect placement of chest-catheters using X-Ray images.

Description

Refer https://www.kaggle.com/c/ranzcr-clip-catheter-line-classification/overview

How to deploy the Streamlit app locally with Docker

Assuming docker is running on your machine and you have a docker account, do the following:

• Build the image

docker build -t <USERNAME>/<YOUR_IMAGE_NAME> .

• Run the image

docker run -p 8501:8501 <USERNAME>/<YOUR_IMAGE_NAME>

• Open your browser and go to http://localhost:8501/

How to deploy the Streamlit app locally without Docker

• Install the dependencies

pip install -r requirements.txt

• Run the Streamlit app

streamlit run app.py

Demonstration