{"id":23946110,"url":"https://github.com/fosetorico/tomato_disease_classification","last_synced_at":"2026-04-07T08:01:58.953Z","repository":{"id":236071768,"uuid":"791859368","full_name":"fosetorico/tomato_disease_classification","owner":"fosetorico","description":"End-to-End Project for the Classification of Tomato Blight Disease using cutting-edge convolution neural networks (CNN)  and leveraging the power of VGG19 model as a transfer model.","archived":false,"fork":false,"pushed_at":"2025-04-12T17:24:48.000Z","size":238963,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-12T18:30:33.760Z","etag":null,"topics":["cicd","cnn-classification","computer-vision","convolutional-neural-networks","deep-learning","docker","dvc-pipeline","flask","keras","mlops-workflow","python3","tensorflow","transfer-learning","vgg19"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fosetorico.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-04-25T14:08:04.000Z","updated_at":"2025-04-12T17:24:51.000Z","dependencies_parsed_at":"2024-12-14T20:19:55.790Z","dependency_job_id":"cb962020-7de2-4a34-b47c-6844a80ee49a","html_url":"https://github.com/fosetorico/tomato_disease_classification","commit_stats":null,"previous_names":["fosetorico/tomato_disease_detection","fosetorico/tomato_disease_classification"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/fosetorico/tomato_disease_classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2Ftomato_disease_classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2Ftomato_disease_classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2Ftomato_disease_classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2Ftomato_disease_classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fosetorico","download_url":"https://codeload.github.com/fosetorico/tomato_disease_classification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2Ftomato_disease_classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31504897,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-07T03:10:19.677Z","status":"ssl_error","status_checked_at":"2026-04-07T03:10:13.982Z","response_time":105,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cicd","cnn-classification","computer-vision","convolutional-neural-networks","deep-learning","docker","dvc-pipeline","flask","keras","mlops-workflow","python3","tensorflow","transfer-learning","vgg19"],"created_at":"2025-01-06T08:28:29.711Z","updated_at":"2026-04-07T08:01:58.948Z","avatar_url":"https://github.com/fosetorico.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# End-to-End Project for Detection and Classification of Tomato Diseases.\nAn AI-powered system that uses computer vision to detect and classify tomato plant diseases, specifically designed to address agricultural challenges. This project aims to provide early disease detection capabilities to help prevent crop losses and improve food security.\n\n## Workflow\n1. Update config.yaml\n2. Update params.yaml\n3. Update the entity\n4. Update the configuration manager in src config\n5. Update the components\n6. Update the pipeline \n7. Update the main.py\n8. Update the dvc.yaml\n\n# How to run?\n### STEPS:\n\nClone the repository\n\n```bash\nhttps://github.com/fosetorico/tomato_disease_classification\n```\n### STEP 01- Create a conda environment after opening the repository\n\n```bash\nconda create -n venv python=3.10 -y\n```\n\n```bash\nconda activate venv\n```\n\n\n### STEP 02- install the requirements\n```bash\npip install -r requirements.txt\n```\n\n\n```bash\n# Finally run the following command\npython app.py\n```\n\nNow,\n```bash\nopen up you local host and port\n```\n\n\n### DVC cmd\n\n1. dvc init\n2. dvc repro\n3. dvc dag\n\n\n\n# AWS-CICD-Deployment-with-Github-Actions\n\n## 1. Login to AWS console.\n\n## 2. Create IAM user for deployment\n\n\t#with specific access\n\n\t1. EC2 access : It is virtual machine\n\t2. ECR: Elastic Container registry to save your docker image in aws\n\n\t#Description: About the deployment\n\n\t1. Build docker image of the source code\n\t2. Push your docker image to ECR\n\t3. Launch Your EC2 \n\t4. Pull Your image from ECR in EC2\n\t5. Lauch your docker image in EC2\n\n\t#Policy:\n\n\t1. AmazonEC2ContainerRegistryFullAccess\n\t2. AmazonEC2FullAccess\n\n\t\n## 3. Create ECR repo to store/save docker image\n\n## 4. Create EC2 machine (Ubuntu) \n\n## 5. Open EC2 and Install docker in EC2 Machine:\n\t\n\t#optinal\n\n\tsudo apt-get update -y\n\tsudo apt-get upgrade\n\t\n\t#required\n\n\tcurl -fsSL https://get.docker.com -o get-docker.sh\n\tsudo sh get-docker.sh\n\tsudo usermod -aG docker ubuntu\n\tnewgrp docker\n\t\n# 6. Configure EC2 as self-hosted runner:\n\n    setting\u003eactions\u003erunner\u003enew self hosted runner\u003e choose os\u003e then run command one by one\n\n# 7. Setup github secrets:\n\n    AWS_ACCESS_KEY_ID=\n    AWS_SECRET_ACCESS_KEY=\n    AWS_REGION = \n    AWS_ECR_LOGIN_URI = \n    ECR_REPOSITORY_NAME = \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffosetorico%2Ftomato_disease_classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffosetorico%2Ftomato_disease_classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffosetorico%2Ftomato_disease_classification/lists"}