The chicken disease classification project aims to develop a system that can accurately identify and classify diseases in chickens based on their symptoms
- Update config.yaml
- Update secrets.yaml
- Update params.yaml
- Update entity
- Update configuration manage in src config
- Update components
- Update Pipelines
- Update main.py
- Update dvc.yaml
Clone the repository
https://github.com/Mohshaikh23/Chicken-Disease-Classification.git
conda create -n cnncls python=3.8 -y
conda activate cnncls
pip install -r requirements.txt
# Finally run the following command
python app.py
Now,
open up you local host and port
- dvc init
- dvc repro
- dvc dag
#with specific access
-
EC2 access : It is virtual machine
-
ECR: Elastic Container registry to save your docker image in aws
-
Build docker image of the source code
-
Push your docker image to ECR
-
Launch Your EC2
-
Pull Your image from ECR in EC2
-
Lauch your docker image in EC2
#Policy:
-
AmazonEC2ContainerRegistryFullAccess
-
AmazonEC2FullAccess
- Save the URI: 238155895877.dkr.ecr.us-east-1.amazonaws.com/chicken
#optinal
sudo apt-get update -y
sudo apt-get upgrade
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
sudo usermod -aG docker ubuntu
newgrp docker
setting>actions>runner>new self hosted runner> choose os> then run command one by one
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
AWS_REGION = us-east-1
AWS_ECR_LOGIN_URI = demo>> 238155895877.dkr.ecr.us-east-1.amazonaws.com
ECR_REPOSITORY_NAME = simple-app
s3cEZKH5yytiVnJ3h+eI3qhhzf9q1vNwEi6+q+WGdd+ACRCZ7JD6
docker build -t chickenapp.azurecr.io/chicken:latest .
docker login chickenapp.azurecr.io
docker push chickenapp.azurecr.io/chicken:latest
- Build the Docker image of the Source Code
- Push the Docker image to Container Registry
- Launch the Web App Server in Azure
- Pull the Docker image from the container registry to Web App server and run