Status
⚠️ : Out of Active Development / Maintenance
Build a Model As a Service application which would classify images of manufactured product as Defective or Not Defective.
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Branch: deploy-streamlit - link
├── Dockerfile ├── dataset │ └── mini_sample.zip ├── main.py └── requirements.txt -
Branch: deploy-api - link
├── Dockerfile ├── __init__.py ├── custom_functions.py ├── database.py ├── iam.db ├── main.py ├── models │ ├── augmix │ │ ├── keras_metadata.pb │ │ ├── saved_model.pb │ │ └── variables │ │ ├── variables.data-00000-of-00001 │ │ └── variables.index │ ├── cutmix │ │ ├── keras_metadata.pb │ │ ├── saved_model.pb │ │ └── variables │ │ ├── variables.data-00000-of-00001 │ │ └── variables.index │ └── mixup │ ├── keras_metadata.pb │ ├── saved_model.pb │ └── variables │ ├── variables.data-00000-of-00001 │ └── variables.index ├── models.py ├── requirements.txt ├── routers │ ├── __init__.py │ ├── authentication.py │ ├── oaut2.py │ ├── predict.py │ ├── token.py │ └── users.py └── schemas.py -
Branch: airflow - link
├── Dockerfile ├── dags │ └── sandbox.py ├── docker-compose.yaml └── requirements.txt
WE ATTEST THAT WE HAVEN’T USED ANY OTHER STUDENTS’ WORK IN OUR ASSIGNMENT AND ABIDE BY THE POLICIES LISTED IN THE STUDENT HANDBOOK